import tqdm
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import plotly.express as px
import warnings
warnings.simplefilter("ignore", np.ComplexWarning)
from haversine import haversine
from IPython.display import HTML
import plotly.graph_objects as go
import copy
import rpy2
import rpy2.robjects as ro
from rpy2.robjects.vectors import FloatVector
from rpy2.robjects.packages import importr
import matplotlib
from sklearn.svm import OneClassSVM
from sklearn.linear_model import SGDOneClassSVM
from sklearn.kernel_approximation import Nystroem
from sklearn.pipeline import make_pipeline
from sklearn.neighbors import LocalOutlierFactor
from sklearn.datasets import fetch_kddcup99, fetch_covtype, fetch_openml
from sklearn.preprocessing import LabelBinarizer
import tqdm
from pygsp import graphs, filters, plotting, utils
from sklearn.metrics import confusion_matrix
from sklearn.metrics import precision_score, recall_score, f1_score, accuracy_score
import plotly.express as px
from sklearn.covariance import EmpiricalCovariance, MinCovDet
from alibi_detect.od import IForest
from pyod.models.abod import ABOD
from pyod.models.cblof import CBLOF
import seaborn as sns
from PyNomaly import loop
from sklearn import svm
from pyod.models.lscp import LSCP
from pyod.models.hbos import HBOS
from pyod.models.so_gaal import SO_GAAL
from pyod.models.mcd import MCD
from pyod.models.mo_gaal import MO_GAAL
from pyod.models.knn import KNN
from pyod.models.lof import LOF
from pyod.models.ocsvm import OCSVM
from pyod.models.feature_bagging import FeatureBagging
from pyod.models.sos import SOSComparison Results on Real Data
GODE
Comparison at real data
Import
class earthquake_func:
def __init__(self,df):
self.df = df
self.f = df.Magnitude.to_numpy()
self.year = df.Year.to_numpy()
self.lat = df.Latitude.to_numpy()
self.long = df.Longitude.to_numpy()
self.n = len(self.f)
self.theta= None
def get_distance(self):
self.D = np.zeros([self.n,self.n])
locations = np.stack([self.lat, self.long],axis=1)
for i in tqdm.tqdm(range(self.n)):
for j in range(i,self.n):
self.D[i,j]=haversine(locations[i],locations[j])
self.D = self.D+self.D.T
def get_weightmatrix(self,theta=1,beta=0.5,kappa=4000):
self.theta = theta
dist = np.where(self.D<kappa,self.D,0)
self.W = np.exp(-(dist/self.theta)**2)
def _eigen(self):
d= self.W.sum(axis=1)
D= np.diag(d)
self.L = np.diag(1/np.sqrt(d)) @ (D-self.W) @ np.diag(1/np.sqrt(d))
self.lamb, self.Psi = np.linalg.eigh(self.L)
self.Lamb = np.diag(self.lamb)
def fit(self,ref=0.5): # fit with ebayesthresh
self._eigen()
self.fbar = self.Psi.T @ self.f # fbar := graph fourier transform of f
self.power = self.fbar**2
ebayesthresh = importr('EbayesThresh').ebayesthresh
self.power_threshed=np.array(ebayesthresh(FloatVector(self.fbar**2)))
self.fbar_threshed = np.where(self.power_threshed>0,self.fbar,0)
self.fhat = self.Psi@self.fbar_threshed
self.df = self.df.assign(MagnitudeHat = self.fhat)
self.df = self.df.assign(Residual = self.df.Magnitude- self.df.MagnitudeHat)
self.con = np.where(self.df.Residual>0.7,1,0)
def vis(self,MagThresh=7,ResThresh=1):
fig = px.density_mapbox(self.df,
lat='Latitude',
lon='Longitude',
z='Magnitude',
radius=5,
center=dict(lat=37, lon=160),
zoom=1.5,
height=900,
opacity = 0.4,
mapbox_style="stamen-terrain",
range_color=[-7,7])
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
fig.add_scattermapbox(lat = self.df.query('Magnitude > @MagThresh')['Latitude'],
lon = self.df.query('Magnitude > @MagThresh')['Longitude'],
text = self.df.query('Magnitude > @MagThresh')['Magnitude'],
marker_size= 8,
marker_color= 'red',
opacity = 0.6
)
fig.add_scattermapbox(lat = self.df.query('Residual**2 > @ResThresh')['Latitude'],
lon = self.df.query('Residual**2 > @ResThresh')['Longitude'],
text = self.df.query('Magnitude > @ResThresh')['Magnitude'],
marker_size= 8,
marker_color= 'blue',
opacity = 0.5
)
return HTML(fig.to_html(include_mathjax=False, config=dict({'scrollZoom':False})))
def visf(self):
fig = px.density_mapbox(self.df,
lat='Latitude',
lon='Longitude',
z='Magnitude',
radius=5,
center=dict(lat=37, lon=160),
zoom=1.5,
height=900,
opacity = 0.7,
mapbox_style="stamen-terrain",
range_color=[-7,7])
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
return HTML(fig.to_html(include_mathjax=False, config=dict({'scrollZoom':False})))
def visfhat(self):
fig = px.density_mapbox(self.df,
lat='Latitude',
lon='Longitude',
z='MagnitudeHat',
radius=5,
center=dict(lat=37, lon=160),
zoom=1.5,
height=900,
opacity = 0.7,
mapbox_style="stamen-terrain",
range_color=[-7,7])
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
return HTML(fig.to_html(include_mathjax=False, config=dict({'scrollZoom':False})))
def visres(self,MagThresh=7,ResThresh=1):
fig = px.density_mapbox(self.df,
lat='Latitude',
lon='Longitude',
z=[0] * len(self.df),
radius=5,
center=dict(lat=37, lon=160),
zoom=1.5,
height=900,
opacity = 0.7,
mapbox_style="stamen-terrain",
range_color=[-7,7])
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
fig.add_scattermapbox(lat = self.df.query('Residual**2 > @ResThresh')['Latitude'],
lon = self.df.query('Residual**2 > @ResThresh')['Longitude'],
text = self.df.query('Magnitude > @ResThresh')['Magnitude'],
marker_size= 8,
marker_color= 'blue',
opacity = 0.7
)
return HTML(fig.to_html(include_mathjax=False, config=dict({'scrollZoom':False})))class Conf_matrx:
def __init__(self,original,compare,tab):
self.original = original
self.compare = compare
self.tab = tab
def conf(self,name):
self.conf_matrix = confusion_matrix(self.original, self.compare)
fig, ax = plt.subplots(figsize=(5, 5))
ax.matshow(self.conf_matrix, cmap=plt.cm.Oranges, alpha=0.3)
for i in range(self.conf_matrix.shape[0]):
for j in range(self.conf_matrix.shape[1]):
ax.text(x=j, y=i,s=self.conf_matrix[i, j], va='center', ha='center', size='xx-large')
plt.xlabel('Predictions', fontsize=18)
plt.ylabel('Actuals', fontsize=18)
plt.title('Confusion Matrix', fontsize=18)
plt.show()
self.acc = accuracy_score(self.original, self.compare)
self.pre = precision_score(self.original, self.compare)
self.rec = recall_score(self.original, self.compare)
self.f1 = f1_score(self.original, self.compare)
print('Accuracy: %.3f' % self.acc)
print('Precision: %.3f' % self.pre)
print('Recall: %.3f' % self.rec)
print('F1 Score: %.3f' % self.f1)
self.tab = self.tab.append(pd.DataFrame({"Accuracy":[self.acc],"Precision":[self.pre],"Recall":[self.rec],"F1":[self.f1]},index = [name]))tab_gode = pd.DataFrame(columns=["Accuracy","Precision","Recall","F1"])load data and clean it
- load
df_global= pd.concat([pd.read_csv('00_05.csv'),pd.read_csv('05_10.csv'),pd.read_csv('10_15.csv'),pd.read_csv('15_20.csv')]).iloc[:,[0,1,2,4]].rename(columns={'latitude':'Latitude','longitude':'Longitude','mag':'Magnitude'}).reset_index().iloc[:,1:]- cleaning
df_global = df_global.assign(Year=list(map(lambda x: x.split('-')[0], df_global.time))).iloc[:,1:]df_global.Year = df_global.Year.astype(np.float64)df_global_10 = df_global.copy()
df_global_10 = df_global_10.query("2010 <= Year < 2015").reset_index().iloc[:,1:];df_global_10| Latitude | Longitude | Magnitude | Year | |
|---|---|---|---|---|
| 0 | 0.663 | -26.045 | 5.5 | 2010.0 |
| 1 | -19.209 | 167.902 | 5.1 | 2010.0 |
| 2 | -31.830 | -178.135 | 5.0 | 2010.0 |
| 3 | -19.984 | 168.353 | 5.0 | 2010.0 |
| 4 | 50.380 | 153.964 | 5.0 | 2010.0 |
| ... | ... | ... | ... | ... |
| 12493 | -22.874 | 69.345 | 5.2 | 2010.0 |
| 12494 | 42.360 | -30.462 | 5.0 | 2010.0 |
| 12495 | 40.726 | 51.925 | 5.0 | 2010.0 |
| 12496 | 30.646 | 83.791 | 5.2 | 2010.0 |
| 12497 | 26.290 | 99.866 | 5.0 | 2010.0 |
12498 rows × 4 columns
GODE
gode_global = earthquake_func(df_global_10)- get distance
gode_global.get_distance()100%|██████████| 12498/12498 [07:20<00:00, 28.35it/s] gode_global.D[gode_global.D>0].mean()8810.865423093777- weight matrix
gode_global.get_weightmatrix(theta=(gode_global.D[gode_global.D>0].mean()),kappa=2500) - fit
gode_global.fit()_df = gode_global.df.copy()_df.sort_values("Residual",ascending=False).iloc[:40,:]| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | |
|---|---|---|---|---|---|---|
| 2064 | -36.1220 | -72.8980 | 8.8 | 2010.0 | 7.572545 | 1.227455 |
| 3752 | -19.6097 | -70.7691 | 8.2 | 2014.0 | 7.075499 | 1.124501 |
| 12167 | -36.1220 | -72.8980 | 8.8 | 2010.0 | 7.742429 | 1.057571 |
| 9660 | 36.2810 | 141.1110 | 7.9 | 2011.0 | 6.912847 | 0.987153 |
| 6877 | 0.8020 | 92.4630 | 8.2 | 2012.0 | 7.353106 | 0.846894 |
| 7938 | -21.6110 | -179.5280 | 7.3 | 2011.0 | 6.497713 | 0.802287 |
| 10593 | -3.4870 | 100.0820 | 7.8 | 2010.0 | 7.008107 | 0.791893 |
| 3835 | -19.9807 | -70.7022 | 6.7 | 2014.0 | 5.913563 | 0.786437 |
| 3281 | -29.9772 | -177.7247 | 6.9 | 2014.0 | 6.129969 | 0.770031 |
| 4997 | -23.0090 | -177.2320 | 7.4 | 2013.0 | 6.648946 | 0.751054 |
| 11365 | 7.8810 | 91.9360 | 7.5 | 2010.0 | 6.759298 | 0.740702 |
| 3723 | -20.5709 | -70.4931 | 7.7 | 2014.0 | 6.991148 | 0.708852 |
| 490 | -3.4870 | 100.0820 | 7.8 | 2010.0 | 7.092844 | 0.707156 |
| 11856 | -34.2900 | -71.8910 | 6.9 | 2010.0 | 6.197441 | 0.702559 |
| 6443 | -21.2220 | -179.2870 | 5.6 | 2012.0 | 4.900729 | 0.699271 |
| 9598 | 36.5690 | 141.4860 | 6.2 | 2011.0 | 5.502811 | 0.697189 |
| 5137 | 30.3080 | 102.8880 | 6.6 | 2013.0 | 5.904218 | 0.695782 |
| 7772 | -28.9930 | -176.2380 | 7.4 | 2011.0 | 6.711309 | 0.688691 |
| 4881 | 10.7010 | -42.5940 | 6.6 | 2013.0 | 5.915735 | 0.684265 |
| 6940 | -35.2000 | -72.2170 | 7.1 | 2012.0 | 6.422078 | 0.677922 |
| 4816 | -60.8570 | -25.0700 | 7.3 | 2013.0 | 6.626735 | 0.673265 |
| 6963 | 16.4930 | -98.2310 | 7.4 | 2012.0 | 6.727272 | 0.672728 |
| 8207 | 36.9420 | 140.9550 | 6.3 | 2011.0 | 5.644833 | 0.655167 |
| 9675 | 38.2970 | 142.3730 | 9.1 | 2011.0 | 8.452726 | 0.647274 |
| 163 | 26.9010 | 143.6980 | 7.4 | 2010.0 | 6.758782 | 0.641218 |
| 7365 | -10.6170 | 165.1600 | 6.4 | 2012.0 | 5.760128 | 0.639872 |
| 19 | -19.6610 | 168.1400 | 6.4 | 2010.0 | 5.761124 | 0.638876 |
| 7739 | -17.9410 | -179.5310 | 6.0 | 2011.0 | 5.361437 | 0.638563 |
| 8787 | -20.1290 | 168.2570 | 5.3 | 2011.0 | 4.674700 | 0.625300 |
| 5447 | -10.9940 | 165.7410 | 6.6 | 2013.0 | 5.975600 | 0.624400 |
| 8094 | -18.3650 | 168.1430 | 7.2 | 2011.0 | 6.578651 | 0.621349 |
| 2699 | -19.6903 | -177.7587 | 7.1 | 2014.0 | 6.485400 | 0.614600 |
| 1751 | -34.3260 | -71.7990 | 7.0 | 2010.0 | 6.386349 | 0.613651 |
| 12429 | 18.4430 | -72.5710 | 7.0 | 2010.0 | 6.386632 | 0.613368 |
| 6307 | 2.1900 | 126.8370 | 6.6 | 2012.0 | 5.993919 | 0.606081 |
| 9366 | 40.0820 | 143.2020 | 5.7 | 2011.0 | 5.096812 | 0.603188 |
| 9867 | -7.1540 | 155.1840 | 6.4 | 2011.0 | 5.798634 | 0.601366 |
| 1753 | -34.2900 | -71.8910 | 6.9 | 2010.0 | 6.310787 | 0.589213 |
| 9050 | -16.5410 | -177.5170 | 6.3 | 2011.0 | 5.717719 | 0.582281 |
| 11823 | -37.5510 | -73.4650 | 5.8 | 2010.0 | 5.219236 | 0.580764 |
outlier_simul_one = (_df['Residual']**2).tolist()outlier_simul_one = list(map(lambda x: -1 if x > 0.04 else 1,outlier_simul_one))pd.concat([_df,pd.DataFrame(_df['Residual']**2).rename(columns={'Residual':'rst'}),pd.DataFrame(outlier_simul_one)],axis=1).\
rename(columns={'Latitude':'Latitude',
'Longitude':'Longitude',
'Magnitude':'Magnitude',
'Year':'Year',
'MagnitudeHat':'MagnitudeHat',
'Residual':'Residual',
'rst':'Anomalious Score',
0:'GODE'})| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.663 | -26.045 | 5.5 | 2010.0 | 5.514405 | -0.014405 | 0.000207 | 1 |
| 1 | -19.209 | 167.902 | 5.1 | 2010.0 | 5.114861 | -0.014861 | 0.000221 | 1 |
| 2 | -31.830 | -178.135 | 5.0 | 2010.0 | 5.159778 | -0.159778 | 0.025529 | 1 |
| 3 | -19.984 | 168.353 | 5.0 | 2010.0 | 5.214340 | -0.214340 | 0.045942 | -1 |
| 4 | 50.380 | 153.964 | 5.0 | 2010.0 | 5.099783 | -0.099783 | 0.009957 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 12493 | -22.874 | 69.345 | 5.2 | 2010.0 | 5.039599 | 0.160401 | 0.025728 | 1 |
| 12494 | 42.360 | -30.462 | 5.0 | 2010.0 | 5.104141 | -0.104141 | 0.010845 | 1 |
| 12495 | 40.726 | 51.925 | 5.0 | 2010.0 | 4.926934 | 0.073066 | 0.005339 | 1 |
| 12496 | 30.646 | 83.791 | 5.2 | 2010.0 | 5.240853 | -0.040853 | 0.001669 | 1 |
| 12497 | 26.290 | 99.866 | 5.0 | 2010.0 | 4.983210 | 0.016790 | 0.000282 | 1 |
12498 rows × 8 columns
_conf = Conf_matrx(outlier_true_one,outlier_simul_one,tab_gode)_conf.conf("GODE")one = _conf.tabLOF
clf = LocalOutlierFactor(n_neighbors=2)lof_rst = clf.fit_predict(_df)pd.concat([_df,pd.DataFrame(_df['Residual']**2).rename(columns={'Residual':'rst'}),pd.DataFrame(outlier_simul_one),
pd.DataFrame(lof_rst).rename(columns={0:'LOF'})],axis=1).\
rename(columns={'Latitude':'Latitude',
'Longitude':'Longitude',
'Magnitude':'Magnitude',
'Year':'Year',
'MagnitudeHat':'MagnitudeHat',
'Residual':'Residual',
'rst':'Anomalious Score',
0:'GODE',
'LOF':'LOF'})| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.663 | -26.045 | 5.5 | 2010.0 | 5.514405 | -0.014405 | 0.000207 | 1 | 1 |
| 1 | -19.209 | 167.902 | 5.1 | 2010.0 | 5.114861 | -0.014861 | 0.000221 | 1 | 1 |
| 2 | -31.830 | -178.135 | 5.0 | 2010.0 | 5.159778 | -0.159778 | 0.025529 | 1 | 1 |
| 3 | -19.984 | 168.353 | 5.0 | 2010.0 | 5.214340 | -0.214340 | 0.045942 | -1 | 1 |
| 4 | 50.380 | 153.964 | 5.0 | 2010.0 | 5.099783 | -0.099783 | 0.009957 | 1 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 12493 | -22.874 | 69.345 | 5.2 | 2010.0 | 5.039599 | 0.160401 | 0.025728 | 1 | 1 |
| 12494 | 42.360 | -30.462 | 5.0 | 2010.0 | 5.104141 | -0.104141 | 0.010845 | 1 | 1 |
| 12495 | 40.726 | 51.925 | 5.0 | 2010.0 | 4.926934 | 0.073066 | 0.005339 | 1 | -1 |
| 12496 | 30.646 | 83.791 | 5.2 | 2010.0 | 5.240853 | -0.040853 | 0.001669 | 1 | 1 |
| 12497 | 26.290 | 99.866 | 5.0 | 2010.0 | 4.983210 | 0.016790 | 0.000282 | 1 | -1 |
12498 rows × 9 columns
_conf = Conf_matrx(outlier_true_one,clf.fit_predict(X),tab_orbit)_conf.conf("LOF (Breunig et al., 2000)")two = one.append(_conf.tab)KNN
clf = KNN()
clf.fit(_df[['Latitude', 'Longitude','Magnitude']])
# _df['knn_clf'] = clf.labels_KNN(algorithm='auto', contamination=0.1, leaf_size=30, method='largest',
metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=5, p=2,
radius=1.0)outlier_KNN_one = list(clf.labels_)outlier_KNN_one = list(map(lambda x: 1 if x==0 else -1,outlier_KNN_one))pd.concat([_df,pd.DataFrame(_df['Residual']**2).rename(columns={'Residual':'rst'}),pd.DataFrame(outlier_simul_one),
pd.DataFrame(lof_rst).rename(columns={0:'LOF'}),
pd.DataFrame(outlier_KNN_one).rename(columns={0:'KNN'})],axis=1).\
rename(columns={'Latitude':'Latitude',
'Longitude':'Longitude',
'Magnitude':'Magnitude',
'Year':'Year',
'MagnitudeHat':'MagnitudeHat',
'Residual':'Residual',
'rst':'Anomalious Score',
0:'GODE',
'LOF':'LOF',
'KNN':'KNN'})| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | KNN | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.663 | -26.045 | 5.5 | 2010.0 | 5.514405 | -0.014405 | 0.000207 | 1 | 1 | 1 |
| 1 | -19.209 | 167.902 | 5.1 | 2010.0 | 5.114861 | -0.014861 | 0.000221 | 1 | 1 | 1 |
| 2 | -31.830 | -178.135 | 5.0 | 2010.0 | 5.159778 | -0.159778 | 0.025529 | 1 | 1 | 1 |
| 3 | -19.984 | 168.353 | 5.0 | 2010.0 | 5.214340 | -0.214340 | 0.045942 | -1 | 1 | 1 |
| 4 | 50.380 | 153.964 | 5.0 | 2010.0 | 5.099783 | -0.099783 | 0.009957 | 1 | 1 | -1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 12493 | -22.874 | 69.345 | 5.2 | 2010.0 | 5.039599 | 0.160401 | 0.025728 | 1 | 1 | 1 |
| 12494 | 42.360 | -30.462 | 5.0 | 2010.0 | 5.104141 | -0.104141 | 0.010845 | 1 | 1 | -1 |
| 12495 | 40.726 | 51.925 | 5.0 | 2010.0 | 4.926934 | 0.073066 | 0.005339 | 1 | -1 | -1 |
| 12496 | 30.646 | 83.791 | 5.2 | 2010.0 | 5.240853 | -0.040853 | 0.001669 | 1 | 1 | -1 |
| 12497 | 26.290 | 99.866 | 5.0 | 2010.0 | 4.983210 | 0.016790 | 0.000282 | 1 | -1 | -1 |
12498 rows × 10 columns
_conf = Conf_matrx(outlier_true_one,outlier_KNN_one,tab_orbit)_conf.conf("kNN (Ramaswamy et al., 2000)")three = two.append(_conf.tab)CBLOF
clf = CBLOF(contamination=0.05,check_estimator=False, random_state=77)
clf.fit(df_global_10[['Latitude', 'Longitude','Magnitude']])
df_global_10['CBLOF_Clf'] = clf.labels_/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/sklearn/cluster/_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning
super()._check_params_vs_input(X, default_n_init=10)outlier_CBLOF_one = list(clf.labels_)outlier_CBLOF_one = list(map(lambda x: 1 if x==0 else -1,outlier_CBLOF_one))outlier_CBLOF_one_t = pd.DataFrame([outlier_CBLOF_one]).T.rename(columns={0:'CBLOF'});outlier_CBLOF_one_t| CBLOF | |
|---|---|
| 0 | 1 |
| 1 | 1 |
| 2 | 1 |
| 3 | 1 |
| 4 | 1 |
| ... | ... |
| 12493 | 1 |
| 12494 | 1 |
| 12495 | 1 |
| 12496 | 1 |
| 12497 | 1 |
12498 rows × 1 columns
# outlier_CBLOF_one_t.to_csv('outlier_CBLOF_one.csv',index=False)OCSVM
clf = svm.OneClassSVM(nu=0.1, kernel="rbf", gamma=0.1)clf.fit(_df)OneClassSVM(gamma=0.1, nu=0.1)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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OneClassSVM(gamma=0.1, nu=0.1)
outlier_OSVM_one = list(clf.predict(_df))pd.concat([_df,pd.DataFrame(_df['Residual']**2).rename(columns={'Residual':'rst'}),pd.DataFrame(outlier_simul_one),
pd.DataFrame(lof_rst).rename(columns={0:'LOF'}),
pd.DataFrame(outlier_KNN_one).rename(columns={0:'KNN'}),
pd.DataFrame(outlier_OSVM_one).rename(columns={0:'OCSVM'})],axis=1).\
rename(columns={'Latitude':'Latitude',
'Longitude':'Longitude',
'Magnitude':'Magnitude',
'Year':'Year',
'MagnitudeHat':'MagnitudeHat',
'Residual':'Residual',
'rst':'Anomalious Score',
0:'GODE',
'LOF':'LOF',
'KNN':'KNN',
'OCSVM':'OCSVM'})| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | KNN | OCSVM | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.663 | -26.045 | 5.5 | 2010.0 | 5.514405 | -0.014405 | 0.000207 | 1 | 1 | 1 | -1 |
| 1 | -19.209 | 167.902 | 5.1 | 2010.0 | 5.114861 | -0.014861 | 0.000221 | 1 | 1 | 1 | 1 |
| 2 | -31.830 | -178.135 | 5.0 | 2010.0 | 5.159778 | -0.159778 | 0.025529 | 1 | 1 | 1 | 1 |
| 3 | -19.984 | 168.353 | 5.0 | 2010.0 | 5.214340 | -0.214340 | 0.045942 | -1 | 1 | 1 | 1 |
| 4 | 50.380 | 153.964 | 5.0 | 2010.0 | 5.099783 | -0.099783 | 0.009957 | 1 | 1 | -1 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 12493 | -22.874 | 69.345 | 5.2 | 2010.0 | 5.039599 | 0.160401 | 0.025728 | 1 | 1 | 1 | 1 |
| 12494 | 42.360 | -30.462 | 5.0 | 2010.0 | 5.104141 | -0.104141 | 0.010845 | 1 | 1 | -1 | 1 |
| 12495 | 40.726 | 51.925 | 5.0 | 2010.0 | 4.926934 | 0.073066 | 0.005339 | 1 | -1 | -1 | -1 |
| 12496 | 30.646 | 83.791 | 5.2 | 2010.0 | 5.240853 | -0.040853 | 0.001669 | 1 | 1 | -1 | 1 |
| 12497 | 26.290 | 99.866 | 5.0 | 2010.0 | 4.983210 | 0.016790 | 0.000282 | 1 | -1 | -1 | 1 |
12498 rows × 11 columns
_conf = Conf_matrx(outlier_true_one,outlier_OSVM_one,tab_orbit)_conf.conf("OCSVM (Sch ̈olkopf et al., 2001)")five = four.append(_conf.tab)MCD
clf = MCD()
clf.fit(_df[['Latitude','Longitude','Magnitude']])
# _df['MCD_clf'] = clf.labels_MCD(assume_centered=False, contamination=0.1, random_state=None,
store_precision=True, support_fraction=None)outlier_MCD_one = list(clf.labels_)outlier_MCD_one = list(map(lambda x: 1 if x==0 else -1,outlier_MCD_one))pd.concat([_df,pd.DataFrame(_df['Residual']**2).rename(columns={'Residual':'rst'}),pd.DataFrame(outlier_simul_one),
pd.DataFrame(lof_rst).rename(columns={0:'LOF'}),
pd.DataFrame(outlier_KNN_one).rename(columns={0:'KNN'}),
pd.DataFrame(outlier_OSVM_one).rename(columns={0:'OCSVM'}),
pd.DataFrame(outlier_MCD_one).rename(columns={0:'MCD'})],axis=1).\
rename(columns={'Latitude':'Latitude',
'Longitude':'Longitude',
'Magnitude':'Magnitude',
'Year':'Year',
'MagnitudeHat':'MagnitudeHat',
'Residual':'Residual',
'rst':'Anomalious Score',
0:'GODE',
'LOF':'LOF',
'KNN':'KNN',
'OCSVM':'OCSVM',
'MCD':'MCD'})| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | KNN | OCSVM | MCD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.663 | -26.045 | 5.5 | 2010.0 | 5.514405 | -0.014405 | 0.000207 | 1 | 1 | 1 | -1 | 1 |
| 1 | -19.209 | 167.902 | 5.1 | 2010.0 | 5.114861 | -0.014861 | 0.000221 | 1 | 1 | 1 | 1 | 1 |
| 2 | -31.830 | -178.135 | 5.0 | 2010.0 | 5.159778 | -0.159778 | 0.025529 | 1 | 1 | 1 | 1 | -1 |
| 3 | -19.984 | 168.353 | 5.0 | 2010.0 | 5.214340 | -0.214340 | 0.045942 | -1 | 1 | 1 | 1 | 1 |
| 4 | 50.380 | 153.964 | 5.0 | 2010.0 | 5.099783 | -0.099783 | 0.009957 | 1 | 1 | -1 | 1 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 12493 | -22.874 | 69.345 | 5.2 | 2010.0 | 5.039599 | 0.160401 | 0.025728 | 1 | 1 | 1 | 1 | 1 |
| 12494 | 42.360 | -30.462 | 5.0 | 2010.0 | 5.104141 | -0.104141 | 0.010845 | 1 | 1 | -1 | 1 | 1 |
| 12495 | 40.726 | 51.925 | 5.0 | 2010.0 | 4.926934 | 0.073066 | 0.005339 | 1 | -1 | -1 | -1 | 1 |
| 12496 | 30.646 | 83.791 | 5.2 | 2010.0 | 5.240853 | -0.040853 | 0.001669 | 1 | 1 | -1 | 1 | 1 |
| 12497 | 26.290 | 99.866 | 5.0 | 2010.0 | 4.983210 | 0.016790 | 0.000282 | 1 | -1 | -1 | 1 | 1 |
12498 rows × 12 columns
_conf = Conf_matrx(outlier_true_one,outlier_MCD_one,tab_orbit)_conf.conf("MCD (Hardin and Rocke, 2004)")six = five.append(_conf.tab)Feature Bagging
clf = FeatureBagging()
clf.fit(_df[['Latitude','Longitude','Magnitude']])
# _df['FeatureBagging_clf'] = clf.labels_FeatureBagging(base_estimator=None, bootstrap_features=False,
check_detector=True, check_estimator=False, combination='average',
contamination=0.1, estimator_params={}, max_features=1.0,
n_estimators=10, n_jobs=1, random_state=None, verbose=0)outlier_FeatureBagging_one = list(clf.labels_)outlier_FeatureBagging_one = list(map(lambda x: 1 if x==0 else -1,outlier_FeatureBagging_one))pd.concat([_df,pd.DataFrame(_df['Residual']**2).rename(columns={'Residual':'rst'}),pd.DataFrame(outlier_simul_one),
pd.DataFrame(lof_rst).rename(columns={0:'LOF'}),
pd.DataFrame(outlier_KNN_one).rename(columns={0:'KNN'}),
pd.DataFrame(outlier_OSVM_one).rename(columns={0:'OCSVM'}),
pd.DataFrame(outlier_MCD_one).rename(columns={0:'MCD'}),
pd.DataFrame(outlier_FeatureBagging_one).rename(columns={0:'Feature Bagging'})],axis=1).\
rename(columns={'Latitude':'Latitude',
'Longitude':'Longitude',
'Magnitude':'Magnitude',
'Year':'Year',
'MagnitudeHat':'MagnitudeHat',
'Residual':'Residual',
'rst':'Anomalious Score',
0:'GODE',
'LOF':'LOF',
'KNN':'KNN',
'OCSVM':'OCSVM',
'MCD':'MCD',
'Feature Bagging':'Feature Bagging'})| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | KNN | OCSVM | MCD | Feature Bagging | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.663 | -26.045 | 5.5 | 2010.0 | 5.514405 | -0.014405 | 0.000207 | 1 | 1 | 1 | -1 | 1 | 1 |
| 1 | -19.209 | 167.902 | 5.1 | 2010.0 | 5.114861 | -0.014861 | 0.000221 | 1 | 1 | 1 | 1 | 1 | 1 |
| 2 | -31.830 | -178.135 | 5.0 | 2010.0 | 5.159778 | -0.159778 | 0.025529 | 1 | 1 | 1 | 1 | -1 | 1 |
| 3 | -19.984 | 168.353 | 5.0 | 2010.0 | 5.214340 | -0.214340 | 0.045942 | -1 | 1 | 1 | 1 | 1 | 1 |
| 4 | 50.380 | 153.964 | 5.0 | 2010.0 | 5.099783 | -0.099783 | 0.009957 | 1 | 1 | -1 | 1 | 1 | -1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 12493 | -22.874 | 69.345 | 5.2 | 2010.0 | 5.039599 | 0.160401 | 0.025728 | 1 | 1 | 1 | 1 | 1 | 1 |
| 12494 | 42.360 | -30.462 | 5.0 | 2010.0 | 5.104141 | -0.104141 | 0.010845 | 1 | 1 | -1 | 1 | 1 | 1 |
| 12495 | 40.726 | 51.925 | 5.0 | 2010.0 | 4.926934 | 0.073066 | 0.005339 | 1 | -1 | -1 | -1 | 1 | 1 |
| 12496 | 30.646 | 83.791 | 5.2 | 2010.0 | 5.240853 | -0.040853 | 0.001669 | 1 | 1 | -1 | 1 | 1 | 1 |
| 12497 | 26.290 | 99.866 | 5.0 | 2010.0 | 4.983210 | 0.016790 | 0.000282 | 1 | -1 | -1 | 1 | 1 | 1 |
12498 rows × 13 columns
_conf = Conf_matrx(outlier_true_one,outlier_FeatureBagging_one,tab_orbit)_conf.conf("Feature Bagging (Lazarevic and Kumar, 2005)")seven = six.append(_conf.tab)ABOD
clf = ABOD(contamination=0.05)
clf.fit(_df[['Latitude','Longitude','Magnitude']])
# _df['ABOD_Clf'] = clf.labels_ABOD(contamination=0.05, method='fast', n_neighbors=5)outlier_ABOD_one = list(clf.labels_)outlier_ABOD_one = list(map(lambda x: 1 if x==0 else -1,outlier_ABOD_one))pd.concat([_df,pd.DataFrame(_df['Residual']**2).rename(columns={'Residual':'rst'}),pd.DataFrame(outlier_simul_one),
pd.DataFrame(lof_rst).rename(columns={0:'LOF'}),
pd.DataFrame(outlier_KNN_one).rename(columns={0:'KNN'}),
pd.DataFrame(outlier_OSVM_one).rename(columns={0:'OCSVM'}),
pd.DataFrame(outlier_MCD_one).rename(columns={0:'MCD'}),
pd.DataFrame(outlier_FeatureBagging_one).rename(columns={0:'Feature Bagging'}),
pd.DataFrame(outlier_ABOD_one).rename(columns={0:'ABOD'})],axis=1).\
rename(columns={'Latitude':'Latitude',
'Longitude':'Longitude',
'Magnitude':'Magnitude',
'Year':'Year',
'MagnitudeHat':'MagnitudeHat',
'Residual':'Residual',
'rst':'Anomalious Score',
0:'GODE',
'LOF':'LOF',
'KNN':'KNN',
'OCSVM':'OCSVM',
'MCD':'MCD',
'Feature Bagging':'Feature Bagging',
'ABOD':'ABOD'})| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | KNN | OCSVM | MCD | Feature Bagging | ABOD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.663 | -26.045 | 5.5 | 2010.0 | 5.514405 | -0.014405 | 0.000207 | 1 | 1 | 1 | -1 | 1 | 1 | 1 |
| 1 | -19.209 | 167.902 | 5.1 | 2010.0 | 5.114861 | -0.014861 | 0.000221 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 2 | -31.830 | -178.135 | 5.0 | 2010.0 | 5.159778 | -0.159778 | 0.025529 | 1 | 1 | 1 | 1 | -1 | 1 | 1 |
| 3 | -19.984 | 168.353 | 5.0 | 2010.0 | 5.214340 | -0.214340 | 0.045942 | -1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 4 | 50.380 | 153.964 | 5.0 | 2010.0 | 5.099783 | -0.099783 | 0.009957 | 1 | 1 | -1 | 1 | 1 | -1 | -1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 12493 | -22.874 | 69.345 | 5.2 | 2010.0 | 5.039599 | 0.160401 | 0.025728 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 12494 | 42.360 | -30.462 | 5.0 | 2010.0 | 5.104141 | -0.104141 | 0.010845 | 1 | 1 | -1 | 1 | 1 | 1 | -1 |
| 12495 | 40.726 | 51.925 | 5.0 | 2010.0 | 4.926934 | 0.073066 | 0.005339 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 12496 | 30.646 | 83.791 | 5.2 | 2010.0 | 5.240853 | -0.040853 | 0.001669 | 1 | 1 | -1 | 1 | 1 | 1 | 1 |
| 12497 | 26.290 | 99.866 | 5.0 | 2010.0 | 4.983210 | 0.016790 | 0.000282 | 1 | -1 | -1 | 1 | 1 | 1 | 1 |
12498 rows × 14 columns
_conf = Conf_matrx(outlier_true_one,outlier_ABOD_one,tab_orbit)_conf.conf("ABOD (Kriegel et al., 2008)")eight = seven.append(_conf.tab)IForest
od = IForest(
threshold=0.,
n_estimators=100
)od.fit(_df[['Latitude','Longitude','Magnitude']])preds = od.predict(
_df[['Latitude','Longitude','Magnitude']],
return_instance_score=True
)# _df['IF_alibi'] = preds['data']['is_outlier']# outlier_alibi_one = _df['IF_alibi']
outlier_alibi_one = preds['data']['is_outlier']outlier_alibi_one = list(map(lambda x: 1 if x==0 else -1,outlier_alibi_one))pd.concat([_df,pd.DataFrame(_df['Residual']**2).rename(columns={'Residual':'rst'}),pd.DataFrame(outlier_simul_one),
pd.DataFrame(lof_rst).rename(columns={0:'LOF'}),
pd.DataFrame(outlier_KNN_one).rename(columns={0:'KNN'}),
pd.DataFrame(outlier_OSVM_one).rename(columns={0:'OCSVM'}),
pd.DataFrame(outlier_MCD_one).rename(columns={0:'MCD'}),
pd.DataFrame(outlier_FeatureBagging_one).rename(columns={0:'Feature Bagging'}),
pd.DataFrame(outlier_ABOD_one).rename(columns={0:'ABOD'}),
pd.DataFrame(outlier_alibi_one).rename(columns={0:'IForest'})],axis=1).\
rename(columns={'Latitude':'Latitude',
'Longitude':'Longitude',
'Magnitude':'Magnitude',
'Year':'Year',
'MagnitudeHat':'MagnitudeHat',
'Residual':'Residual',
'rst':'Anomalious Score',
0:'GODE',
'LOF':'LOF',
'KNN':'KNN',
'OCSVM':'OCSVM',
'MCD':'MCD',
'Feature Bagging':'Feature Bagging',
'ABOD':'ABOD',
'IForest':'IForest'})| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | KNN | OCSVM | MCD | Feature Bagging | ABOD | IForest | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.663 | -26.045 | 5.5 | 2010.0 | 5.514405 | -0.014405 | 0.000207 | 1 | 1 | 1 | -1 | 1 | 1 | 1 | -1 |
| 1 | -19.209 | 167.902 | 5.1 | 2010.0 | 5.114861 | -0.014861 | 0.000221 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 2 | -31.830 | -178.135 | 5.0 | 2010.0 | 5.159778 | -0.159778 | 0.025529 | 1 | 1 | 1 | 1 | -1 | 1 | 1 | -1 |
| 3 | -19.984 | 168.353 | 5.0 | 2010.0 | 5.214340 | -0.214340 | 0.045942 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 4 | 50.380 | 153.964 | 5.0 | 2010.0 | 5.099783 | -0.099783 | 0.009957 | 1 | 1 | -1 | 1 | 1 | -1 | -1 | -1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 12493 | -22.874 | 69.345 | 5.2 | 2010.0 | 5.039599 | 0.160401 | 0.025728 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 12494 | 42.360 | -30.462 | 5.0 | 2010.0 | 5.104141 | -0.104141 | 0.010845 | 1 | 1 | -1 | 1 | 1 | 1 | -1 | -1 |
| 12495 | 40.726 | 51.925 | 5.0 | 2010.0 | 4.926934 | 0.073066 | 0.005339 | 1 | -1 | -1 | -1 | 1 | 1 | 1 | -1 |
| 12496 | 30.646 | 83.791 | 5.2 | 2010.0 | 5.240853 | -0.040853 | 0.001669 | 1 | 1 | -1 | 1 | 1 | 1 | 1 | 1 |
| 12497 | 26.290 | 99.866 | 5.0 | 2010.0 | 4.983210 | 0.016790 | 0.000282 | 1 | -1 | -1 | 1 | 1 | 1 | 1 | 1 |
12498 rows × 15 columns
_conf = Conf_matrx(outlier_true_one,outlier_alibi_one,tab_orbit)_conf.conf("Isolation Forest (Liu et al., 2008)")nine = eight.append(_conf.tab)HBOS
clf = HBOS()
clf.fit(_df[['Latitude','Longitude','Magnitude']])
# _df['HBOS_clf'] = clf.labels_HBOS(alpha=0.1, contamination=0.1, n_bins=10, tol=0.5)outlier_HBOS_one = list(clf.labels_)outlier_HBOS_one = list(map(lambda x: 1 if x==0 else -1,outlier_HBOS_one))pd.concat([_df,pd.DataFrame(_df['Residual']**2).rename(columns={'Residual':'rst'}),pd.DataFrame(outlier_simul_one),
pd.DataFrame(lof_rst).rename(columns={0:'LOF'}),
pd.DataFrame(outlier_KNN_one).rename(columns={0:'KNN'}),
pd.DataFrame(outlier_OSVM_one).rename(columns={0:'OCSVM'}),
pd.DataFrame(outlier_MCD_one).rename(columns={0:'MCD'}),
pd.DataFrame(outlier_FeatureBagging_one).rename(columns={0:'Feature Bagging'}),
pd.DataFrame(outlier_ABOD_one).rename(columns={0:'ABOD'}),
pd.DataFrame(outlier_alibi_one).rename(columns={0:'IForest'}),
pd.DataFrame(outlier_HBOS_one).rename(columns={0:'HBOS'})],axis=1).\
rename(columns={'Latitude':'Latitude',
'Longitude':'Longitude',
'Magnitude':'Magnitude',
'Year':'Year',
'MagnitudeHat':'MagnitudeHat',
'Residual':'Residual',
'rst':'Anomalious Score',
0:'GODE',
'LOF':'LOF',
'KNN':'KNN',
'OCSVM':'OCSVM',
'MCD':'MCD',
'Feature Bagging':'Feature Bagging',
'ABOD':'ABOD',
'IForest':'IForest',
'HBOS':'HBOS'})| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | KNN | OCSVM | MCD | Feature Bagging | ABOD | IForest | HBOS | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.663 | -26.045 | 5.5 | 2010.0 | 5.514405 | -0.014405 | 0.000207 | 1 | 1 | 1 | -1 | 1 | 1 | 1 | -1 | 1 |
| 1 | -19.209 | 167.902 | 5.1 | 2010.0 | 5.114861 | -0.014861 | 0.000221 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 2 | -31.830 | -178.135 | 5.0 | 2010.0 | 5.159778 | -0.159778 | 0.025529 | 1 | 1 | 1 | 1 | -1 | 1 | 1 | -1 | 1 |
| 3 | -19.984 | 168.353 | 5.0 | 2010.0 | 5.214340 | -0.214340 | 0.045942 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 4 | 50.380 | 153.964 | 5.0 | 2010.0 | 5.099783 | -0.099783 | 0.009957 | 1 | 1 | -1 | 1 | 1 | -1 | -1 | -1 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 12493 | -22.874 | 69.345 | 5.2 | 2010.0 | 5.039599 | 0.160401 | 0.025728 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 12494 | 42.360 | -30.462 | 5.0 | 2010.0 | 5.104141 | -0.104141 | 0.010845 | 1 | 1 | -1 | 1 | 1 | 1 | -1 | -1 | 1 |
| 12495 | 40.726 | 51.925 | 5.0 | 2010.0 | 4.926934 | 0.073066 | 0.005339 | 1 | -1 | -1 | -1 | 1 | 1 | 1 | -1 | 1 |
| 12496 | 30.646 | 83.791 | 5.2 | 2010.0 | 5.240853 | -0.040853 | 0.001669 | 1 | 1 | -1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 12497 | 26.290 | 99.866 | 5.0 | 2010.0 | 4.983210 | 0.016790 | 0.000282 | 1 | -1 | -1 | 1 | 1 | 1 | 1 | 1 | 1 |
12498 rows × 16 columns
_conf = Conf_matrx(outlier_true_one,outlier_HBOS_one,tab_orbit)_conf.conf("HBOS (Goldstein and Dengel, 2012)")ten = nine.append(_conf.tab)SOS
outlier_SOS_one = list(clf.labels_)outlier_SOS_one = list(map(lambda x: 1 if x==0 else -1,outlier_SOS_one))clf = SOS()
clf.fit(_df[['Latitude','Longitude','Magnitude']])
# _df['SOS_clf'] = clf.labels_SOS(contamination=0.1, eps=1e-05, metric='euclidean', perplexity=4.5)pd.concat([_df,pd.DataFrame(_df['Residual']**2).rename(columns={'Residual':'rst'}),pd.DataFrame(outlier_simul_one),
pd.DataFrame(lof_rst).rename(columns={0:'LOF'}),
pd.DataFrame(outlier_KNN_one).rename(columns={0:'KNN'}),
pd.DataFrame(outlier_OSVM_one).rename(columns={0:'OCSVM'}),
pd.DataFrame(outlier_MCD_one).rename(columns={0:'MCD'}),
pd.DataFrame(outlier_FeatureBagging_one).rename(columns={0:'Feature Bagging'}),
pd.DataFrame(outlier_ABOD_one).rename(columns={0:'ABOD'}),
pd.DataFrame(outlier_alibi_one).rename(columns={0:'IForest'}),
pd.DataFrame(outlier_HBOS_one).rename(columns={0:'HBOS'}),
pd.DataFrame(outlier_SOS_one).rename(columns={0:'SOS'})],axis=1).\
rename(columns={'Latitude':'Latitude',
'Longitude':'Longitude',
'Magnitude':'Magnitude',
'Year':'Year',
'MagnitudeHat':'MagnitudeHat',
'Residual':'Residual',
'rst':'Anomalious Score',
0:'GODE',
'LOF':'LOF',
'KNN':'KNN',
'OCSVM':'OCSVM',
'MCD':'MCD',
'Feature Bagging':'Feature Bagging',
'ABOD':'ABOD',
'IForest':'IForest',
'HBOS':'HBOS',
'SOS':'SOS'})| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | KNN | OCSVM | MCD | Feature Bagging | ABOD | IForest | HBOS | SOS | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.663 | -26.045 | 5.5 | 2010.0 | 5.514405 | -0.014405 | 0.000207 | 1 | 1 | 1 | -1 | 1 | 1 | 1 | -1 | 1 | 1 |
| 1 | -19.209 | 167.902 | 5.1 | 2010.0 | 5.114861 | -0.014861 | 0.000221 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 2 | -31.830 | -178.135 | 5.0 | 2010.0 | 5.159778 | -0.159778 | 0.025529 | 1 | 1 | 1 | 1 | -1 | 1 | 1 | -1 | 1 | 1 |
| 3 | -19.984 | 168.353 | 5.0 | 2010.0 | 5.214340 | -0.214340 | 0.045942 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 4 | 50.380 | 153.964 | 5.0 | 2010.0 | 5.099783 | -0.099783 | 0.009957 | 1 | 1 | -1 | 1 | 1 | -1 | -1 | -1 | 1 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 12493 | -22.874 | 69.345 | 5.2 | 2010.0 | 5.039599 | 0.160401 | 0.025728 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 12494 | 42.360 | -30.462 | 5.0 | 2010.0 | 5.104141 | -0.104141 | 0.010845 | 1 | 1 | -1 | 1 | 1 | 1 | -1 | -1 | 1 | 1 |
| 12495 | 40.726 | 51.925 | 5.0 | 2010.0 | 4.926934 | 0.073066 | 0.005339 | 1 | -1 | -1 | -1 | 1 | 1 | 1 | -1 | 1 | 1 |
| 12496 | 30.646 | 83.791 | 5.2 | 2010.0 | 5.240853 | -0.040853 | 0.001669 | 1 | 1 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 12497 | 26.290 | 99.866 | 5.0 | 2010.0 | 4.983210 | 0.016790 | 0.000282 | 1 | -1 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
12498 rows × 17 columns
_conf = Conf_matrx(outlier_true_one,outlier_SOS_one,tab_orbit)_conf.conf("SOS (Janssens et al., 2012)")eleven = ten.append(_conf.tab)SO_GAAL
clf = SO_GAAL()
clf.fit(_df[['Latitude','Longitude','Magnitude']])
# _df['SO_GAAL_clf'] = clf.labels_/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/keras/optimizers/legacy/gradient_descent.py:114: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.
super().__init__(name, **kwargs)Epoch 1 of 60
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Epoch 7 of 60
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Epoch 12 of 60
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Epoch 21 of 60
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Epoch 22 of 60
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Epoch 23 of 60
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Epoch 24 of 60
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Epoch 25 of 60
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Epoch 26 of 60
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16/16 [==============================] - 0s 1ms/step - loss: 5.1734
Testing for epoch 26 index 13:
16/16 [==============================] - 0s 1ms/step - loss: 5.1643
Testing for epoch 26 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.1657
Testing for epoch 26 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.1636
Testing for epoch 26 index 16:
16/16 [==============================] - 0s 1ms/step - loss: 5.1958
Testing for epoch 26 index 17:
16/16 [==============================] - 0s 1ms/step - loss: 5.1432
Testing for epoch 26 index 18:
16/16 [==============================] - 0s 1ms/step - loss: 5.1720
Testing for epoch 26 index 19:
16/16 [==============================] - 0s 1ms/step - loss: 5.1909
Testing for epoch 26 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.1622
Testing for epoch 26 index 21:
16/16 [==============================] - 0s 988us/step - loss: 5.1711
Testing for epoch 26 index 22:
16/16 [==============================] - 0s 1ms/step - loss: 5.2015
Testing for epoch 26 index 23:
16/16 [==============================] - 0s 1ms/step - loss: 5.1616
Testing for epoch 26 index 24:
16/16 [==============================] - 0s 1ms/step - loss: 5.1611
Epoch 27 of 60
Testing for epoch 27 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 5.1688
Testing for epoch 27 index 2:
16/16 [==============================] - 0s 973us/step - loss: 5.1927
Testing for epoch 27 index 3:
16/16 [==============================] - 0s 1ms/step - loss: 5.1881
Testing for epoch 27 index 4:
16/16 [==============================] - 0s 1ms/step - loss: 5.2126
Testing for epoch 27 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 5.2083
Testing for epoch 27 index 6:
16/16 [==============================] - 0s 1ms/step - loss: 5.1934
Testing for epoch 27 index 7:
16/16 [==============================] - 0s 736us/step - loss: 5.1712
Testing for epoch 27 index 8:
16/16 [==============================] - 0s 886us/step - loss: 5.2049
Testing for epoch 27 index 9:
16/16 [==============================] - 0s 910us/step - loss: 5.2330
Testing for epoch 27 index 10:
16/16 [==============================] - 0s 896us/step - loss: 5.2123
Testing for epoch 27 index 11:
16/16 [==============================] - 0s 831us/step - loss: 5.2265
Testing for epoch 27 index 12:
16/16 [==============================] - 0s 912us/step - loss: 5.1898
Testing for epoch 27 index 13:
16/16 [==============================] - 0s 917us/step - loss: 5.2358
Testing for epoch 27 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.2279
Testing for epoch 27 index 15:
16/16 [==============================] - 0s 1ms/step - loss: 5.2258
Testing for epoch 27 index 16:
16/16 [==============================] - 0s 1ms/step - loss: 5.2379
Testing for epoch 27 index 17:
16/16 [==============================] - 0s 1ms/step - loss: 5.2032
Testing for epoch 27 index 18:
16/16 [==============================] - 0s 923us/step - loss: 5.2329
Testing for epoch 27 index 19:
16/16 [==============================] - 0s 876us/step - loss: 5.2238
Testing for epoch 27 index 20:
16/16 [==============================] - 0s 845us/step - loss: 5.2310
Testing for epoch 27 index 21:
16/16 [==============================] - 0s 866us/step - loss: 5.2555
Testing for epoch 27 index 22:
16/16 [==============================] - 0s 865us/step - loss: 5.2506
Testing for epoch 27 index 23:
16/16 [==============================] - 0s 861us/step - loss: 5.2298
Testing for epoch 27 index 24:
16/16 [==============================] - 0s 899us/step - loss: 5.2571
Epoch 28 of 60
Testing for epoch 28 index 1:
16/16 [==============================] - 0s 885us/step - loss: 5.2601
Testing for epoch 28 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.2272
Testing for epoch 28 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.2099
Testing for epoch 28 index 4:
16/16 [==============================] - 0s 1ms/step - loss: 5.2475
Testing for epoch 28 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 5.2595
Testing for epoch 28 index 6:
16/16 [==============================] - 0s 1ms/step - loss: 5.2686
Testing for epoch 28 index 7:
16/16 [==============================] - 0s 1ms/step - loss: 5.2621
Testing for epoch 28 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.2553
Testing for epoch 28 index 9:
16/16 [==============================] - 0s 3ms/step - loss: 5.2640
Testing for epoch 28 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 5.2939
Testing for epoch 28 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.2480
Testing for epoch 28 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.2600
Testing for epoch 28 index 13:
16/16 [==============================] - 0s 1ms/step - loss: 5.2769
Testing for epoch 28 index 14:
16/16 [==============================] - 0s 1ms/step - loss: 5.2909
Testing for epoch 28 index 15:
16/16 [==============================] - 0s 1ms/step - loss: 5.3053
Testing for epoch 28 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.2796
Testing for epoch 28 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.3058
Testing for epoch 28 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 5.2567
Testing for epoch 28 index 19:
16/16 [==============================] - 0s 1ms/step - loss: 5.3181
Testing for epoch 28 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 5.2960
Testing for epoch 28 index 21:
16/16 [==============================] - 0s 1ms/step - loss: 5.3114
Testing for epoch 28 index 22:
16/16 [==============================] - 0s 1ms/step - loss: 5.3035
Testing for epoch 28 index 23:
16/16 [==============================] - 0s 1ms/step - loss: 5.2829
Testing for epoch 28 index 24:
16/16 [==============================] - 0s 1ms/step - loss: 5.3213
Epoch 29 of 60
Testing for epoch 29 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.3131
Testing for epoch 29 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 5.2918
Testing for epoch 29 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.3130
Testing for epoch 29 index 4:
16/16 [==============================] - 0s 1ms/step - loss: 5.3074
Testing for epoch 29 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 5.3050
Testing for epoch 29 index 6:
16/16 [==============================] - 0s 1ms/step - loss: 5.3056
Testing for epoch 29 index 7:
16/16 [==============================] - 0s 1ms/step - loss: 5.3180
Testing for epoch 29 index 8:
16/16 [==============================] - 0s 1ms/step - loss: 5.3132
Testing for epoch 29 index 9:
16/16 [==============================] - 0s 1ms/step - loss: 5.3342
Testing for epoch 29 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 5.3181
Testing for epoch 29 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.3207
Testing for epoch 29 index 12:
16/16 [==============================] - 0s 1ms/step - loss: 5.3322
Testing for epoch 29 index 13:
16/16 [==============================] - 0s 1ms/step - loss: 5.3407
Testing for epoch 29 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.2953
Testing for epoch 29 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.3182
Testing for epoch 29 index 16:
16/16 [==============================] - 0s 1ms/step - loss: 5.3612
Testing for epoch 29 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.3317
Testing for epoch 29 index 18:
16/16 [==============================] - 0s 1ms/step - loss: 5.3261
Testing for epoch 29 index 19:
16/16 [==============================] - 0s 1ms/step - loss: 5.3377
Testing for epoch 29 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.3426
Testing for epoch 29 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.3247
Testing for epoch 29 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.3645
Testing for epoch 29 index 23:
16/16 [==============================] - 0s 1ms/step - loss: 5.3567
Testing for epoch 29 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.3648
Epoch 30 of 60
Testing for epoch 30 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.3892
Testing for epoch 30 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 5.3744
Testing for epoch 30 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.3550
Testing for epoch 30 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 5.3625
Testing for epoch 30 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 5.3735
Testing for epoch 30 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.3469
Testing for epoch 30 index 7:
16/16 [==============================] - 0s 1ms/step - loss: 5.3726
Testing for epoch 30 index 8:
16/16 [==============================] - 0s 1ms/step - loss: 5.3694
Testing for epoch 30 index 9:
16/16 [==============================] - 0s 1ms/step - loss: 5.3997
Testing for epoch 30 index 10:
16/16 [==============================] - 0s 954us/step - loss: 5.3930
Testing for epoch 30 index 11:
16/16 [==============================] - 0s 1ms/step - loss: 5.3818
Testing for epoch 30 index 12:
16/16 [==============================] - 0s 1ms/step - loss: 5.3895
Testing for epoch 30 index 13:
16/16 [==============================] - 0s 1ms/step - loss: 5.3934
Testing for epoch 30 index 14:
16/16 [==============================] - 0s 1ms/step - loss: 5.3513
Testing for epoch 30 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.3578
Testing for epoch 30 index 16:
16/16 [==============================] - 0s 4ms/step - loss: 5.3932
Testing for epoch 30 index 17:
16/16 [==============================] - 0s 1ms/step - loss: 5.3803
Testing for epoch 30 index 18:
16/16 [==============================] - 0s 1ms/step - loss: 5.3644
Testing for epoch 30 index 19:
16/16 [==============================] - 0s 1ms/step - loss: 5.3941
Testing for epoch 30 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 5.3916
Testing for epoch 30 index 21:
16/16 [==============================] - 0s 1ms/step - loss: 5.4229
Testing for epoch 30 index 22:
16/16 [==============================] - 0s 1ms/step - loss: 5.3823
Testing for epoch 30 index 23:
16/16 [==============================] - 0s 1ms/step - loss: 5.3990
Testing for epoch 30 index 24:
16/16 [==============================] - 0s 1ms/step - loss: 5.4237
Epoch 31 of 60
Testing for epoch 31 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 5.4052
Testing for epoch 31 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 5.4002
Testing for epoch 31 index 3:
16/16 [==============================] - 0s 1ms/step - loss: 5.4178
Testing for epoch 31 index 4:
16/16 [==============================] - 0s 1ms/step - loss: 5.4004
Testing for epoch 31 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 5.4048
Testing for epoch 31 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.4361
Testing for epoch 31 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.4403
Testing for epoch 31 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.4431
Testing for epoch 31 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.4361
Testing for epoch 31 index 10:
16/16 [==============================] - 0s 4ms/step - loss: 5.4131
Testing for epoch 31 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.4242
Testing for epoch 31 index 12:
16/16 [==============================] - 0s 1ms/step - loss: 5.4213
Testing for epoch 31 index 13:
16/16 [==============================] - 0s 1ms/step - loss: 5.4208
Testing for epoch 31 index 14:
16/16 [==============================] - 0s 1ms/step - loss: 5.4083
Testing for epoch 31 index 15:
16/16 [==============================] - 0s 1ms/step - loss: 5.4338
Testing for epoch 31 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.4388
Testing for epoch 31 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.4298
Testing for epoch 31 index 18:
16/16 [==============================] - 0s 1ms/step - loss: 5.4476
Testing for epoch 31 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.4494
Testing for epoch 31 index 20:
16/16 [==============================] - 0s 895us/step - loss: 5.4731
Testing for epoch 31 index 21:
16/16 [==============================] - 0s 977us/step - loss: 5.4403
Testing for epoch 31 index 22:
16/16 [==============================] - 0s 836us/step - loss: 5.4519
Testing for epoch 31 index 23:
16/16 [==============================] - 0s 921us/step - loss: 5.4354
Testing for epoch 31 index 24:
16/16 [==============================] - 0s 822us/step - loss: 5.4255
Epoch 32 of 60
Testing for epoch 32 index 1:
16/16 [==============================] - 0s 839us/step - loss: 5.4622
Testing for epoch 32 index 2:
16/16 [==============================] - 0s 864us/step - loss: 5.4706
Testing for epoch 32 index 3:
16/16 [==============================] - 0s 849us/step - loss: 5.4524
Testing for epoch 32 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.4741
Testing for epoch 32 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 5.4610
Testing for epoch 32 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 5.4661
Testing for epoch 32 index 7:
16/16 [==============================] - 0s 889us/step - loss: 5.4742
Testing for epoch 32 index 8:
16/16 [==============================] - 0s 1ms/step - loss: 5.4768
Testing for epoch 32 index 9:
16/16 [==============================] - 0s 1ms/step - loss: 5.4899
Testing for epoch 32 index 10:
16/16 [==============================] - 0s 836us/step - loss: 5.4828
Testing for epoch 32 index 11:
16/16 [==============================] - 0s 957us/step - loss: 5.4510
Testing for epoch 32 index 12:
16/16 [==============================] - 0s 836us/step - loss: 5.4928
Testing for epoch 32 index 13:
16/16 [==============================] - 0s 829us/step - loss: 5.5070
Testing for epoch 32 index 14:
16/16 [==============================] - 0s 823us/step - loss: 5.5029
Testing for epoch 32 index 15:
16/16 [==============================] - 0s 854us/step - loss: 5.4948
Testing for epoch 32 index 16:
16/16 [==============================] - 0s 828us/step - loss: 5.4771
Testing for epoch 32 index 17:
16/16 [==============================] - 0s 882us/step - loss: 5.4984
Testing for epoch 32 index 18:
16/16 [==============================] - 0s 857us/step - loss: 5.5006
Testing for epoch 32 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.5135
Testing for epoch 32 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.4983
Testing for epoch 32 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.5173
Testing for epoch 32 index 22:
16/16 [==============================] - 0s 1ms/step - loss: 5.4870
Testing for epoch 32 index 23:
16/16 [==============================] - 0s 1ms/step - loss: 5.5119
Testing for epoch 32 index 24:
16/16 [==============================] - 0s 1ms/step - loss: 5.5019
Epoch 33 of 60
Testing for epoch 33 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.5101
Testing for epoch 33 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 5.4904
Testing for epoch 33 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.4961
Testing for epoch 33 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.5127
Testing for epoch 33 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 5.5139
Testing for epoch 33 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.5097
Testing for epoch 33 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.5135
Testing for epoch 33 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.5580
Testing for epoch 33 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.5463
Testing for epoch 33 index 10:
16/16 [==============================] - 0s 1ms/step - loss: 5.5466
Testing for epoch 33 index 11:
16/16 [==============================] - 0s 1ms/step - loss: 5.5086
Testing for epoch 33 index 12:
16/16 [==============================] - 0s 1ms/step - loss: 5.5324
Testing for epoch 33 index 13:
16/16 [==============================] - 0s 1ms/step - loss: 5.5444
Testing for epoch 33 index 14:
16/16 [==============================] - 0s 1ms/step - loss: 5.5245
Testing for epoch 33 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.5179
Testing for epoch 33 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.5350
Testing for epoch 33 index 17:
16/16 [==============================] - 0s 1ms/step - loss: 5.5319
Testing for epoch 33 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 5.5096
Testing for epoch 33 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.5171
Testing for epoch 33 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.5487
Testing for epoch 33 index 21:
16/16 [==============================] - 0s 1ms/step - loss: 5.5386
Testing for epoch 33 index 22:
16/16 [==============================] - 0s 1ms/step - loss: 5.5608
Testing for epoch 33 index 23:
16/16 [==============================] - 0s 1ms/step - loss: 5.5531
Testing for epoch 33 index 24:
16/16 [==============================] - 0s 1ms/step - loss: 5.5569
Epoch 34 of 60
Testing for epoch 34 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 5.5679
Testing for epoch 34 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 5.5848
Testing for epoch 34 index 3:
16/16 [==============================] - 0s 1ms/step - loss: 5.5654
Testing for epoch 34 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.5561
Testing for epoch 34 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 5.5359
Testing for epoch 34 index 6:
16/16 [==============================] - 0s 1ms/step - loss: 5.5381
Testing for epoch 34 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.5742
Testing for epoch 34 index 8:
16/16 [==============================] - 0s 974us/step - loss: 5.5597
Testing for epoch 34 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.5576
Testing for epoch 34 index 10:
16/16 [==============================] - 0s 1ms/step - loss: 5.5693
Testing for epoch 34 index 11:
16/16 [==============================] - 0s 1ms/step - loss: 5.5456
Testing for epoch 34 index 12:
16/16 [==============================] - 0s 1ms/step - loss: 5.5895
Testing for epoch 34 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.5786
Testing for epoch 34 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.6051
Testing for epoch 34 index 15:
16/16 [==============================] - 0s 1ms/step - loss: 5.5843
Testing for epoch 34 index 16:
16/16 [==============================] - 0s 1ms/step - loss: 5.5701
Testing for epoch 34 index 17:
16/16 [==============================] - 0s 1ms/step - loss: 5.6106
Testing for epoch 34 index 18:
16/16 [==============================] - 0s 1ms/step - loss: 5.6000
Testing for epoch 34 index 19:
16/16 [==============================] - 0s 1ms/step - loss: 5.5551
Testing for epoch 34 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 5.5947
Testing for epoch 34 index 21:
16/16 [==============================] - 0s 1ms/step - loss: 5.5761
Testing for epoch 34 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.5775
Testing for epoch 34 index 23:
16/16 [==============================] - 0s 1ms/step - loss: 5.6234
Testing for epoch 34 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.5912
Epoch 35 of 60
Testing for epoch 35 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 5.5936
Testing for epoch 35 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.5926
Testing for epoch 35 index 3:
16/16 [==============================] - 0s 1ms/step - loss: 5.5801
Testing for epoch 35 index 4:
16/16 [==============================] - 0s 1ms/step - loss: 5.6047
Testing for epoch 35 index 5:
16/16 [==============================] - 0s 5ms/step - loss: 5.6045
Testing for epoch 35 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.6162
Testing for epoch 35 index 7:
16/16 [==============================] - 0s 1ms/step - loss: 5.5970
Testing for epoch 35 index 8:
16/16 [==============================] - 0s 1ms/step - loss: 5.5918
Testing for epoch 35 index 9:
16/16 [==============================] - 0s 984us/step - loss: 5.6380
Testing for epoch 35 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 5.6081
Testing for epoch 35 index 11:
16/16 [==============================] - 0s 1ms/step - loss: 5.6398
Testing for epoch 35 index 12:
16/16 [==============================] - 0s 3ms/step - loss: 5.5785
Testing for epoch 35 index 13:
16/16 [==============================] - 0s 3ms/step - loss: 5.5853
Testing for epoch 35 index 14:
16/16 [==============================] - 0s 1ms/step - loss: 5.6186
Testing for epoch 35 index 15:
16/16 [==============================] - 0s 1ms/step - loss: 5.6222
Testing for epoch 35 index 16:
16/16 [==============================] - 0s 1ms/step - loss: 5.6164
Testing for epoch 35 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.6302
Testing for epoch 35 index 18:
16/16 [==============================] - 0s 1ms/step - loss: 5.6211
Testing for epoch 35 index 19:
16/16 [==============================] - 0s 1ms/step - loss: 5.6531
Testing for epoch 35 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.6420
Testing for epoch 35 index 21:
16/16 [==============================] - 0s 3ms/step - loss: 5.6193
Testing for epoch 35 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.6251
Testing for epoch 35 index 23:
16/16 [==============================] - 0s 1ms/step - loss: 5.6568
Testing for epoch 35 index 24:
16/16 [==============================] - 0s 1ms/step - loss: 5.6580
Epoch 36 of 60
Testing for epoch 36 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.6132
Testing for epoch 36 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 5.6358
Testing for epoch 36 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.6630
Testing for epoch 36 index 4:
16/16 [==============================] - 0s 1ms/step - loss: 5.6440
Testing for epoch 36 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 5.6226
Testing for epoch 36 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.6221
Testing for epoch 36 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.6358
Testing for epoch 36 index 8:
16/16 [==============================] - 0s 1ms/step - loss: 5.6482
Testing for epoch 36 index 9:
16/16 [==============================] - 0s 3ms/step - loss: 5.6486
Testing for epoch 36 index 10:
16/16 [==============================] - 0s 1ms/step - loss: 5.6605
Testing for epoch 36 index 11:
16/16 [==============================] - 0s 891us/step - loss: 5.6862
Testing for epoch 36 index 12:
16/16 [==============================] - 0s 909us/step - loss: 5.6638
Testing for epoch 36 index 13:
16/16 [==============================] - 0s 949us/step - loss: 5.6434
Testing for epoch 36 index 14:
16/16 [==============================] - 0s 1ms/step - loss: 5.6738
Testing for epoch 36 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.6927
Testing for epoch 36 index 16:
16/16 [==============================] - 0s 908us/step - loss: 5.6958
Testing for epoch 36 index 17:
16/16 [==============================] - 0s 1ms/step - loss: 5.6790
Testing for epoch 36 index 18:
16/16 [==============================] - 0s 851us/step - loss: 5.6752
Testing for epoch 36 index 19:
16/16 [==============================] - 0s 819us/step - loss: 5.6844
Testing for epoch 36 index 20:
16/16 [==============================] - 0s 6ms/step - loss: 5.6507
Testing for epoch 36 index 21:
16/16 [==============================] - 0s 864us/step - loss: 5.6467
Testing for epoch 36 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.6941
Testing for epoch 36 index 23:
16/16 [==============================] - 0s 874us/step - loss: 5.6967
Testing for epoch 36 index 24:
16/16 [==============================] - 0s 881us/step - loss: 5.6670
Epoch 37 of 60
Testing for epoch 37 index 1:
16/16 [==============================] - 0s 825us/step - loss: 5.7009
Testing for epoch 37 index 2:
16/16 [==============================] - 0s 831us/step - loss: 5.6850
Testing for epoch 37 index 3:
16/16 [==============================] - 0s 881us/step - loss: 5.6797
Testing for epoch 37 index 4:
16/16 [==============================] - 0s 900us/step - loss: 5.6818
Testing for epoch 37 index 5:
16/16 [==============================] - 0s 893us/step - loss: 5.6605
Testing for epoch 37 index 6:
16/16 [==============================] - 0s 870us/step - loss: 5.7199
Testing for epoch 37 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 5.6550
Testing for epoch 37 index 8:
16/16 [==============================] - 0s 3ms/step - loss: 5.6696
Testing for epoch 37 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.6838
Testing for epoch 37 index 10:
16/16 [==============================] - 0s 3ms/step - loss: 5.7124
Testing for epoch 37 index 11:
16/16 [==============================] - 0s 1ms/step - loss: 5.7032
Testing for epoch 37 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.7217
Testing for epoch 37 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.7134
Testing for epoch 37 index 14:
16/16 [==============================] - 0s 4ms/step - loss: 5.6758
Testing for epoch 37 index 15:
16/16 [==============================] - 0s 5ms/step - loss: 5.7049
Testing for epoch 37 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.7058
Testing for epoch 37 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.6949
Testing for epoch 37 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 5.7414
Testing for epoch 37 index 19:
16/16 [==============================] - 0s 3ms/step - loss: 5.7083
Testing for epoch 37 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.7027
Testing for epoch 37 index 21:
16/16 [==============================] - 0s 3ms/step - loss: 5.7252
Testing for epoch 37 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.7341
Testing for epoch 37 index 23:
16/16 [==============================] - 0s 4ms/step - loss: 5.6999
Testing for epoch 37 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.7178
Epoch 38 of 60
Testing for epoch 38 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 5.7195
Testing for epoch 38 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.7255
Testing for epoch 38 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.7030
Testing for epoch 38 index 4:
16/16 [==============================] - 0s 1ms/step - loss: 5.7160
Testing for epoch 38 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 5.7259
Testing for epoch 38 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 5.7310
Testing for epoch 38 index 7:
16/16 [==============================] - 0s 1ms/step - loss: 5.7167
Testing for epoch 38 index 8:
16/16 [==============================] - 0s 5ms/step - loss: 5.7205
Testing for epoch 38 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.7377
Testing for epoch 38 index 10:
16/16 [==============================] - 0s 5ms/step - loss: 5.7480
Testing for epoch 38 index 11:
16/16 [==============================] - 0s 3ms/step - loss: 5.7311
Testing for epoch 38 index 12:
16/16 [==============================] - 0s 5ms/step - loss: 5.7670
Testing for epoch 38 index 13:
16/16 [==============================] - 0s 5ms/step - loss: 5.7334
Testing for epoch 38 index 14:
16/16 [==============================] - 0s 1ms/step - loss: 5.7235
Testing for epoch 38 index 15:
16/16 [==============================] - 0s 3ms/step - loss: 5.7380
Testing for epoch 38 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.7558
Testing for epoch 38 index 17:
16/16 [==============================] - 0s 1ms/step - loss: 5.7787
Testing for epoch 38 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 5.7349
Testing for epoch 38 index 19:
16/16 [==============================] - 0s 3ms/step - loss: 5.7661
Testing for epoch 38 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.7622
Testing for epoch 38 index 21:
16/16 [==============================] - 0s 4ms/step - loss: 5.7841
Testing for epoch 38 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.7477
Testing for epoch 38 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.7299
Testing for epoch 38 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.7486
Epoch 39 of 60
Testing for epoch 39 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.7355
Testing for epoch 39 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 5.7274
Testing for epoch 39 index 3:
16/16 [==============================] - 0s 1ms/step - loss: 5.7831
Testing for epoch 39 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 5.7784
Testing for epoch 39 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 5.7559
Testing for epoch 39 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 5.7877
Testing for epoch 39 index 7:
16/16 [==============================] - 0s 5ms/step - loss: 5.7659
Testing for epoch 39 index 8:
16/16 [==============================] - 0s 4ms/step - loss: 5.7575
Testing for epoch 39 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.7910
Testing for epoch 39 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 5.7704
Testing for epoch 39 index 11:
16/16 [==============================] - 0s 3ms/step - loss: 5.7690
Testing for epoch 39 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.7950
Testing for epoch 39 index 13:
16/16 [==============================] - 0s 3ms/step - loss: 5.7558
Testing for epoch 39 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.7891
Testing for epoch 39 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.7960
Testing for epoch 39 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.7617
Testing for epoch 39 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.7877
Testing for epoch 39 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 5.7571
Testing for epoch 39 index 19:
16/16 [==============================] - 0s 6ms/step - loss: 5.7956
Testing for epoch 39 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.7831
Testing for epoch 39 index 21:
16/16 [==============================] - 0s 1ms/step - loss: 5.7889
Testing for epoch 39 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.8032
Testing for epoch 39 index 23:
16/16 [==============================] - 0s 1ms/step - loss: 5.7833
Testing for epoch 39 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.8251
Epoch 40 of 60
Testing for epoch 40 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.7939
Testing for epoch 40 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.7849
Testing for epoch 40 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.7914
Testing for epoch 40 index 4:
16/16 [==============================] - 0s 1ms/step - loss: 5.8011
Testing for epoch 40 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 5.7967
Testing for epoch 40 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.7908
Testing for epoch 40 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.8090
Testing for epoch 40 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.8014
Testing for epoch 40 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.7900
Testing for epoch 40 index 10:
16/16 [==============================] - 0s 1ms/step - loss: 5.8104
Testing for epoch 40 index 11:
16/16 [==============================] - 0s 1ms/step - loss: 5.8398
Testing for epoch 40 index 12:
16/16 [==============================] - 0s 3ms/step - loss: 5.8279
Testing for epoch 40 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.7970
Testing for epoch 40 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 5.8229
Testing for epoch 40 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.8302
Testing for epoch 40 index 16:
16/16 [==============================] - 0s 3ms/step - loss: 5.8061
Testing for epoch 40 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.8306
Testing for epoch 40 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.8196
Testing for epoch 40 index 19:
16/16 [==============================] - 0s 1ms/step - loss: 5.8551
Testing for epoch 40 index 20:
16/16 [==============================] - 0s 3ms/step - loss: 5.8235
Testing for epoch 40 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.8419
Testing for epoch 40 index 22:
16/16 [==============================] - 0s 1ms/step - loss: 5.8338
Testing for epoch 40 index 23:
16/16 [==============================] - 0s 1ms/step - loss: 5.8127
Testing for epoch 40 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.8348
Epoch 41 of 60
Testing for epoch 41 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 5.8301
Testing for epoch 41 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 5.8534
Testing for epoch 41 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.8247
Testing for epoch 41 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 5.8221
Testing for epoch 41 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 5.8441
Testing for epoch 41 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 5.8420
Testing for epoch 41 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 5.8326
Testing for epoch 41 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.8481
Testing for epoch 41 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.8424
Testing for epoch 41 index 10:
16/16 [==============================] - 0s 3ms/step - loss: 5.8379
Testing for epoch 41 index 11:
16/16 [==============================] - 0s 3ms/step - loss: 5.8776
Testing for epoch 41 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.8380
Testing for epoch 41 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.8470
Testing for epoch 41 index 14:
16/16 [==============================] - 0s 1ms/step - loss: 5.8805
Testing for epoch 41 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.8361
Testing for epoch 41 index 16:
16/16 [==============================] - 0s 3ms/step - loss: 5.8703
Testing for epoch 41 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.8674
Testing for epoch 41 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.8865
Testing for epoch 41 index 19:
16/16 [==============================] - 0s 4ms/step - loss: 5.8704
Testing for epoch 41 index 20:
16/16 [==============================] - 0s 5ms/step - loss: 5.9158
Testing for epoch 41 index 21:
16/16 [==============================] - 0s 1ms/step - loss: 5.8653
Testing for epoch 41 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.8605
Testing for epoch 41 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.8391
Testing for epoch 41 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.8287
Epoch 42 of 60
Testing for epoch 42 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.8514
Testing for epoch 42 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 5.8873
Testing for epoch 42 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.8739
Testing for epoch 42 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.8964
Testing for epoch 42 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 5.9038
Testing for epoch 42 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 5.8840
Testing for epoch 42 index 7:
16/16 [==============================] - 0s 1ms/step - loss: 5.8768
Testing for epoch 42 index 8:
16/16 [==============================] - 0s 1ms/step - loss: 5.9105
Testing for epoch 42 index 9:
16/16 [==============================] - 0s 1ms/step - loss: 5.9081
Testing for epoch 42 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 5.8595
Testing for epoch 42 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.8721
Testing for epoch 42 index 12:
16/16 [==============================] - 0s 1ms/step - loss: 5.8720
Testing for epoch 42 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.8938
Testing for epoch 42 index 14:
16/16 [==============================] - 0s 1ms/step - loss: 5.8642
Testing for epoch 42 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.8529
Testing for epoch 42 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.9287
Testing for epoch 42 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.8928
Testing for epoch 42 index 18:
16/16 [==============================] - 0s 1ms/step - loss: 5.8888
Testing for epoch 42 index 19:
16/16 [==============================] - 0s 3ms/step - loss: 5.8941
Testing for epoch 42 index 20:
16/16 [==============================] - 0s 3ms/step - loss: 5.9118
Testing for epoch 42 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.9074
Testing for epoch 42 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.8974
Testing for epoch 42 index 23:
16/16 [==============================] - 0s 1ms/step - loss: 5.9163
Testing for epoch 42 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.9176
Epoch 43 of 60
Testing for epoch 43 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 5.9020
Testing for epoch 43 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.8887
Testing for epoch 43 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.8954
Testing for epoch 43 index 4:
16/16 [==============================] - 0s 1ms/step - loss: 5.8828
Testing for epoch 43 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 5.9241
Testing for epoch 43 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.9199
Testing for epoch 43 index 7:
16/16 [==============================] - 0s 1ms/step - loss: 5.9037
Testing for epoch 43 index 8:
16/16 [==============================] - 0s 1ms/step - loss: 5.9194
Testing for epoch 43 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.8892
Testing for epoch 43 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 5.9011
Testing for epoch 43 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.9293
Testing for epoch 43 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.9526
Testing for epoch 43 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.9206
Testing for epoch 43 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 5.9310
Testing for epoch 43 index 15:
16/16 [==============================] - 0s 1ms/step - loss: 5.9005
Testing for epoch 43 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.9265
Testing for epoch 43 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.9172
Testing for epoch 43 index 18:
16/16 [==============================] - 0s 1ms/step - loss: 5.9574
Testing for epoch 43 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.9223
Testing for epoch 43 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 5.9191
Testing for epoch 43 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.9312
Testing for epoch 43 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.9225
Testing for epoch 43 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.9196
Testing for epoch 43 index 24:
16/16 [==============================] - 0s 3ms/step - loss: 5.9712
Epoch 44 of 60
Testing for epoch 44 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 5.9398
Testing for epoch 44 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 5.9369
Testing for epoch 44 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.9296
Testing for epoch 44 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.9298
Testing for epoch 44 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 5.9565
Testing for epoch 44 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.9331
Testing for epoch 44 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 5.9333
Testing for epoch 44 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.9800
Testing for epoch 44 index 9:
16/16 [==============================] - 0s 1ms/step - loss: 5.9548
Testing for epoch 44 index 10:
16/16 [==============================] - 0s 3ms/step - loss: 5.9907
Testing for epoch 44 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.9742
Testing for epoch 44 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.9679
Testing for epoch 44 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.9404
Testing for epoch 44 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.9540
Testing for epoch 44 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.9697
Testing for epoch 44 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.9573
Testing for epoch 44 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.9611
Testing for epoch 44 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.9501
Testing for epoch 44 index 19:
16/16 [==============================] - 0s 1ms/step - loss: 5.9725
Testing for epoch 44 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 5.9704
Testing for epoch 44 index 21:
16/16 [==============================] - 0s 3ms/step - loss: 5.9715
Testing for epoch 44 index 22:
16/16 [==============================] - 0s 3ms/step - loss: 5.9377
Testing for epoch 44 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.9567
Testing for epoch 44 index 24:
16/16 [==============================] - 0s 1ms/step - loss: 5.9600
Epoch 45 of 60
Testing for epoch 45 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.9695
Testing for epoch 45 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 5.9845
Testing for epoch 45 index 3:
16/16 [==============================] - 0s 1ms/step - loss: 5.9872
Testing for epoch 45 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.9660
Testing for epoch 45 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 5.9648
Testing for epoch 45 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.0025
Testing for epoch 45 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.9845
Testing for epoch 45 index 8:
16/16 [==============================] - 0s 3ms/step - loss: 5.9770
Testing for epoch 45 index 9:
16/16 [==============================] - 0s 1ms/step - loss: 5.9950
Testing for epoch 45 index 10:
16/16 [==============================] - 0s 1ms/step - loss: 5.9825
Testing for epoch 45 index 11:
16/16 [==============================] - 0s 1ms/step - loss: 6.0264
Testing for epoch 45 index 12:
16/16 [==============================] - 0s 1ms/step - loss: 5.9860
Testing for epoch 45 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.9844
Testing for epoch 45 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.9831
Testing for epoch 45 index 15:
16/16 [==============================] - 0s 1ms/step - loss: 5.9743
Testing for epoch 45 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.9902
Testing for epoch 45 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.9655
Testing for epoch 45 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 5.9730
Testing for epoch 45 index 19:
16/16 [==============================] - 0s 4ms/step - loss: 5.9888
Testing for epoch 45 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 6.0239
Testing for epoch 45 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.9866
Testing for epoch 45 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.9779
Testing for epoch 45 index 23:
16/16 [==============================] - 0s 6ms/step - loss: 5.9982
Testing for epoch 45 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.0143
Epoch 46 of 60
Testing for epoch 46 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 6.0295
Testing for epoch 46 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.9825
Testing for epoch 46 index 3:
16/16 [==============================] - 0s 4ms/step - loss: 6.0014
Testing for epoch 46 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.0107
Testing for epoch 46 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 6.0311
Testing for epoch 46 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 5.9898
Testing for epoch 46 index 7:
16/16 [==============================] - 0s 4ms/step - loss: 6.0510
Testing for epoch 46 index 8:
16/16 [==============================] - 0s 3ms/step - loss: 6.0030
Testing for epoch 46 index 9:
16/16 [==============================] - 0s 4ms/step - loss: 5.9883
Testing for epoch 46 index 10:
16/16 [==============================] - 0s 1ms/step - loss: 6.0342
Testing for epoch 46 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.0171
Testing for epoch 46 index 12:
16/16 [==============================] - 0s 1ms/step - loss: 6.0030
Testing for epoch 46 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.0223
Testing for epoch 46 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 6.0418
Testing for epoch 46 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.0316
Testing for epoch 46 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.0310
Testing for epoch 46 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 6.0164
Testing for epoch 46 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.0290
Testing for epoch 46 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 6.0211
Testing for epoch 46 index 20:
16/16 [==============================] - 0s 3ms/step - loss: 6.0173
Testing for epoch 46 index 21:
16/16 [==============================] - 0s 1ms/step - loss: 6.0238
Testing for epoch 46 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 6.0549
Testing for epoch 46 index 23:
16/16 [==============================] - 0s 1ms/step - loss: 6.0234
Testing for epoch 46 index 24:
16/16 [==============================] - 0s 3ms/step - loss: 6.0092
Epoch 47 of 60
Testing for epoch 47 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 6.0113
Testing for epoch 47 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 6.0467
Testing for epoch 47 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 6.0790
Testing for epoch 47 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.0722
Testing for epoch 47 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.0378
Testing for epoch 47 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.0637
Testing for epoch 47 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 6.0557
Testing for epoch 47 index 8:
16/16 [==============================] - 0s 3ms/step - loss: 5.9965
Testing for epoch 47 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 6.0327
Testing for epoch 47 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 6.0582
Testing for epoch 47 index 11:
16/16 [==============================] - 0s 1ms/step - loss: 6.0292
Testing for epoch 47 index 12:
16/16 [==============================] - 0s 3ms/step - loss: 6.0484
Testing for epoch 47 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.0690
Testing for epoch 47 index 14:
16/16 [==============================] - 0s 1ms/step - loss: 6.0508
Testing for epoch 47 index 15:
16/16 [==============================] - 0s 1ms/step - loss: 6.0544
Testing for epoch 47 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.0439
Testing for epoch 47 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 6.0742
Testing for epoch 47 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.0572
Testing for epoch 47 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 6.0591
Testing for epoch 47 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 6.0431
Testing for epoch 47 index 21:
16/16 [==============================] - 0s 1ms/step - loss: 6.0831
Testing for epoch 47 index 22:
16/16 [==============================] - 0s 1ms/step - loss: 6.0684
Testing for epoch 47 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.0573
Testing for epoch 47 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.0923
Epoch 48 of 60
Testing for epoch 48 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 6.0847
Testing for epoch 48 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 6.0703
Testing for epoch 48 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 6.0454
Testing for epoch 48 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.0552
Testing for epoch 48 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.0849
Testing for epoch 48 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 6.0517
Testing for epoch 48 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 6.0866
Testing for epoch 48 index 8:
16/16 [==============================] - 0s 1ms/step - loss: 6.0758
Testing for epoch 48 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 6.1111
Testing for epoch 48 index 10:
16/16 [==============================] - 0s 4ms/step - loss: 6.0674
Testing for epoch 48 index 11:
16/16 [==============================] - 0s 1ms/step - loss: 6.0838
Testing for epoch 48 index 12:
16/16 [==============================] - 0s 1ms/step - loss: 6.1128
Testing for epoch 48 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.0590
Testing for epoch 48 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 6.0739
Testing for epoch 48 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.0620
Testing for epoch 48 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.0717
Testing for epoch 48 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 6.0845
Testing for epoch 48 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.0742
Testing for epoch 48 index 19:
16/16 [==============================] - 0s 1ms/step - loss: 6.0991
Testing for epoch 48 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 6.0545
Testing for epoch 48 index 21:
16/16 [==============================] - 0s 3ms/step - loss: 6.1073
Testing for epoch 48 index 22:
16/16 [==============================] - 0s 1ms/step - loss: 6.0958
Testing for epoch 48 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.0572
Testing for epoch 48 index 24:
16/16 [==============================] - 0s 1ms/step - loss: 6.1371
Epoch 49 of 60
Testing for epoch 49 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 6.1035
Testing for epoch 49 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 6.0675
Testing for epoch 49 index 3:
16/16 [==============================] - 0s 1ms/step - loss: 6.0999
Testing for epoch 49 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.1191
Testing for epoch 49 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.1210
Testing for epoch 49 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.1135
Testing for epoch 49 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 6.1262
Testing for epoch 49 index 8:
16/16 [==============================] - 0s 1ms/step - loss: 6.0831
Testing for epoch 49 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 6.1058
Testing for epoch 49 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 6.1090
Testing for epoch 49 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.1057
Testing for epoch 49 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 6.1088
Testing for epoch 49 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.1232
Testing for epoch 49 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 6.0894
Testing for epoch 49 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.1116
Testing for epoch 49 index 16:
16/16 [==============================] - 0s 5ms/step - loss: 6.1392
Testing for epoch 49 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 6.1318
Testing for epoch 49 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 6.1031
Testing for epoch 49 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 6.1547
Testing for epoch 49 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 6.0960
Testing for epoch 49 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 6.1555
Testing for epoch 49 index 22:
16/16 [==============================] - 0s 3ms/step - loss: 6.1379
Testing for epoch 49 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.0967
Testing for epoch 49 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.1399
Epoch 50 of 60
Testing for epoch 50 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 6.0987
Testing for epoch 50 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 6.1329
Testing for epoch 50 index 3:
16/16 [==============================] - 0s 4ms/step - loss: 6.1105
Testing for epoch 50 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.1310
Testing for epoch 50 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 6.0889
Testing for epoch 50 index 6:
16/16 [==============================] - 0s 4ms/step - loss: 6.1469
Testing for epoch 50 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 6.1347
Testing for epoch 50 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.1192
Testing for epoch 50 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 6.1290
Testing for epoch 50 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 6.1286
Testing for epoch 50 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.1321
Testing for epoch 50 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 6.1555
Testing for epoch 50 index 13:
16/16 [==============================] - 0s 1ms/step - loss: 6.1481
Testing for epoch 50 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 6.1589
Testing for epoch 50 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.1314
Testing for epoch 50 index 16:
16/16 [==============================] - 0s 4ms/step - loss: 6.1347
Testing for epoch 50 index 17:
16/16 [==============================] - 0s 1ms/step - loss: 6.1325
Testing for epoch 50 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.1575
Testing for epoch 50 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 6.1620
Testing for epoch 50 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 6.1571
Testing for epoch 50 index 21:
16/16 [==============================] - 0s 3ms/step - loss: 6.0978
Testing for epoch 50 index 22:
16/16 [==============================] - 0s 1ms/step - loss: 6.1696
Testing for epoch 50 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.1205
Testing for epoch 50 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.1326
Epoch 51 of 60
Testing for epoch 51 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 6.1536
Testing for epoch 51 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 6.1668
Testing for epoch 51 index 3:
16/16 [==============================] - 0s 1ms/step - loss: 6.1308
Testing for epoch 51 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.1492
Testing for epoch 51 index 5:
16/16 [==============================] - 0s 4ms/step - loss: 6.1592
Testing for epoch 51 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.1718
Testing for epoch 51 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 6.1811
Testing for epoch 51 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.1576
Testing for epoch 51 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 6.1344
Testing for epoch 51 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 6.1463
Testing for epoch 51 index 11:
16/16 [==============================] - 0s 1ms/step - loss: 6.1708
Testing for epoch 51 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 6.1972
Testing for epoch 51 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.1650
Testing for epoch 51 index 14:
16/16 [==============================] - 0s 1ms/step - loss: 6.1533
Testing for epoch 51 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.1549
Testing for epoch 51 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.1492
Testing for epoch 51 index 17:
16/16 [==============================] - 0s 1ms/step - loss: 6.1474
Testing for epoch 51 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.1446
Testing for epoch 51 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 6.2000
Testing for epoch 51 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 6.1578
Testing for epoch 51 index 21:
16/16 [==============================] - 0s 1ms/step - loss: 6.1328
Testing for epoch 51 index 22:
16/16 [==============================] - 0s 3ms/step - loss: 6.1692
Testing for epoch 51 index 23:
16/16 [==============================] - 0s 3ms/step - loss: 6.1752
Testing for epoch 51 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.1524
Epoch 52 of 60
Testing for epoch 52 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 6.2224
Testing for epoch 52 index 2:
16/16 [==============================] - 0s 4ms/step - loss: 6.1998
Testing for epoch 52 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 6.1916
Testing for epoch 52 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 6.1728
Testing for epoch 52 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.1997
Testing for epoch 52 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.1800
Testing for epoch 52 index 7:
16/16 [==============================] - 0s 1ms/step - loss: 6.1960
Testing for epoch 52 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.1573
Testing for epoch 52 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 6.1822
Testing for epoch 52 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 6.2128
Testing for epoch 52 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.2226
Testing for epoch 52 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 6.2022
Testing for epoch 52 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.1782
Testing for epoch 52 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 6.1693
Testing for epoch 52 index 15:
16/16 [==============================] - 0s 1ms/step - loss: 6.1917
Testing for epoch 52 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.1940
Testing for epoch 52 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 6.1999
Testing for epoch 52 index 18:
16/16 [==============================] - 0s 1ms/step - loss: 6.1842
Testing for epoch 52 index 19:
16/16 [==============================] - 0s 1ms/step - loss: 6.1996
Testing for epoch 52 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 6.2104
Testing for epoch 52 index 21:
16/16 [==============================] - 0s 4ms/step - loss: 6.2201
Testing for epoch 52 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 6.1933
Testing for epoch 52 index 23:
16/16 [==============================] - 0s 3ms/step - loss: 6.1899
Testing for epoch 52 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.1887
Epoch 53 of 60
Testing for epoch 53 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 6.2112
Testing for epoch 53 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 6.2016
Testing for epoch 53 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 6.2237
Testing for epoch 53 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.1912
Testing for epoch 53 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.1927
Testing for epoch 53 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.2141
Testing for epoch 53 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 6.2289
Testing for epoch 53 index 8:
16/16 [==============================] - 0s 3ms/step - loss: 6.1993
Testing for epoch 53 index 9:
16/16 [==============================] - 0s 1ms/step - loss: 6.2175
Testing for epoch 53 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 6.2142
Testing for epoch 53 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.2280
Testing for epoch 53 index 12:
16/16 [==============================] - 0s 3ms/step - loss: 6.2100
Testing for epoch 53 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.2253
Testing for epoch 53 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 6.2261
Testing for epoch 53 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.2624
Testing for epoch 53 index 16:
16/16 [==============================] - 0s 3ms/step - loss: 6.2173
Testing for epoch 53 index 17:
16/16 [==============================] - 0s 1ms/step - loss: 6.2413
Testing for epoch 53 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.2174
Testing for epoch 53 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 6.1991
Testing for epoch 53 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 6.2263
Testing for epoch 53 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 6.2499
Testing for epoch 53 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 6.2003
Testing for epoch 53 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.2449
Testing for epoch 53 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.2249
Epoch 54 of 60
Testing for epoch 54 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 6.2472
Testing for epoch 54 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 6.2382
Testing for epoch 54 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 6.2188
Testing for epoch 54 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.2338
Testing for epoch 54 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.2704
Testing for epoch 54 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.2055
Testing for epoch 54 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 6.2565
Testing for epoch 54 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.2524
Testing for epoch 54 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 6.2573
Testing for epoch 54 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 6.2544
Testing for epoch 54 index 11:
16/16 [==============================] - 0s 5ms/step - loss: 6.2302
Testing for epoch 54 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 6.2331
Testing for epoch 54 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.2060
Testing for epoch 54 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 6.2518
Testing for epoch 54 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.2465
Testing for epoch 54 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.1940
Testing for epoch 54 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 6.2579
Testing for epoch 54 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.2417
Testing for epoch 54 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 6.2534
Testing for epoch 54 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 6.2519
Testing for epoch 54 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 6.2425
Testing for epoch 54 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 6.2399
Testing for epoch 54 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.2673
Testing for epoch 54 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.2722
Epoch 55 of 60
Testing for epoch 55 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 6.2730
Testing for epoch 55 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 6.2662
Testing for epoch 55 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 6.2780
Testing for epoch 55 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.2703
Testing for epoch 55 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.2788
Testing for epoch 55 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.2653
Testing for epoch 55 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 6.2738
Testing for epoch 55 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.2662
Testing for epoch 55 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 6.2842
Testing for epoch 55 index 10:
16/16 [==============================] - 0s 1ms/step - loss: 6.2755
Testing for epoch 55 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.3159
Testing for epoch 55 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 6.2817
Testing for epoch 55 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.2706
Testing for epoch 55 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 6.2826
Testing for epoch 55 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.3087
Testing for epoch 55 index 16:
16/16 [==============================] - 0s 1ms/step - loss: 6.2827
Testing for epoch 55 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 6.2835
Testing for epoch 55 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.2455
Testing for epoch 55 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 6.3109
Testing for epoch 55 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 6.3139
Testing for epoch 55 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 6.2777
Testing for epoch 55 index 22:
16/16 [==============================] - 0s 5ms/step - loss: 6.2460
Testing for epoch 55 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.3135
Testing for epoch 55 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.2767
Epoch 56 of 60
Testing for epoch 56 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 6.2638
Testing for epoch 56 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 6.2505
Testing for epoch 56 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 6.2844
Testing for epoch 56 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.2828
Testing for epoch 56 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 6.2526
Testing for epoch 56 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.2842
Testing for epoch 56 index 7:
16/16 [==============================] - 0s 1ms/step - loss: 6.2845
Testing for epoch 56 index 8:
16/16 [==============================] - 0s 1ms/step - loss: 6.2939
Testing for epoch 56 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 6.3070
Testing for epoch 56 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 6.2890
Testing for epoch 56 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.2758
Testing for epoch 56 index 12:
16/16 [==============================] - 0s 1ms/step - loss: 6.2841
Testing for epoch 56 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.2826
Testing for epoch 56 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 6.3053
Testing for epoch 56 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.2991
Testing for epoch 56 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.3194
Testing for epoch 56 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 6.2705
Testing for epoch 56 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.3355
Testing for epoch 56 index 19:
16/16 [==============================] - 0s 3ms/step - loss: 6.2967
Testing for epoch 56 index 20:
16/16 [==============================] - 0s 3ms/step - loss: 6.3052
Testing for epoch 56 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 6.3010
Testing for epoch 56 index 22:
16/16 [==============================] - 0s 4ms/step - loss: 6.3093
Testing for epoch 56 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.2840
Testing for epoch 56 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.3039
Epoch 57 of 60
Testing for epoch 57 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 6.3050
Testing for epoch 57 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 6.3247
Testing for epoch 57 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 6.2988
Testing for epoch 57 index 4:
16/16 [==============================] - 0s 1ms/step - loss: 6.3270
Testing for epoch 57 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.2958
Testing for epoch 57 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.3076
Testing for epoch 57 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 6.3457
Testing for epoch 57 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.3354
Testing for epoch 57 index 9:
16/16 [==============================] - 0s 1ms/step - loss: 6.2985
Testing for epoch 57 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 6.3025
Testing for epoch 57 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.3405
Testing for epoch 57 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 6.2959
Testing for epoch 57 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.3136
Testing for epoch 57 index 14:
16/16 [==============================] - 0s 1ms/step - loss: 6.2957
Testing for epoch 57 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.3203
Testing for epoch 57 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.3019
Testing for epoch 57 index 17:
16/16 [==============================] - 0s 1ms/step - loss: 6.3213
Testing for epoch 57 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.3553
Testing for epoch 57 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 6.3161
Testing for epoch 57 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 6.3244
Testing for epoch 57 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 6.3466
Testing for epoch 57 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 6.3135
Testing for epoch 57 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.3334
Testing for epoch 57 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.3397
Epoch 58 of 60
Testing for epoch 58 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 6.3440
Testing for epoch 58 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 6.2834
Testing for epoch 58 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 6.3472
Testing for epoch 58 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.3389
Testing for epoch 58 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.3400
Testing for epoch 58 index 6:
16/16 [==============================] - 0s 1ms/step - loss: 6.3246
Testing for epoch 58 index 7:
16/16 [==============================] - 0s 1ms/step - loss: 6.3517
Testing for epoch 58 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.3424
Testing for epoch 58 index 9:
16/16 [==============================] - 0s 1ms/step - loss: 6.3409
Testing for epoch 58 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 6.3381
Testing for epoch 58 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.3355
Testing for epoch 58 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 6.3424
Testing for epoch 58 index 13:
16/16 [==============================] - 0s 3ms/step - loss: 6.3348
Testing for epoch 58 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 6.3517
Testing for epoch 58 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.3255
Testing for epoch 58 index 16:
16/16 [==============================] - 0s 1ms/step - loss: 6.3588
Testing for epoch 58 index 17:
16/16 [==============================] - 0s 1ms/step - loss: 6.3528
Testing for epoch 58 index 18:
16/16 [==============================] - 0s 1ms/step - loss: 6.3602
Testing for epoch 58 index 19:
16/16 [==============================] - 0s 1ms/step - loss: 6.3422
Testing for epoch 58 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 6.3357
Testing for epoch 58 index 21:
16/16 [==============================] - 0s 1ms/step - loss: 6.3733
Testing for epoch 58 index 22:
16/16 [==============================] - 0s 1ms/step - loss: 6.3791
Testing for epoch 58 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.3722
Testing for epoch 58 index 24:
16/16 [==============================] - 0s 3ms/step - loss: 6.3484
Epoch 59 of 60
Testing for epoch 59 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 6.3491
Testing for epoch 59 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 6.3330
Testing for epoch 59 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 6.3484
Testing for epoch 59 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.3475
Testing for epoch 59 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 6.3823
Testing for epoch 59 index 6:
16/16 [==============================] - 0s 1ms/step - loss: 6.3682
Testing for epoch 59 index 7:
16/16 [==============================] - 0s 1ms/step - loss: 6.4005
Testing for epoch 59 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.3112
Testing for epoch 59 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 6.3412
Testing for epoch 59 index 10:
16/16 [==============================] - 0s 3ms/step - loss: 6.3998
Testing for epoch 59 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.3618
Testing for epoch 59 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 6.3380
Testing for epoch 59 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.3868
Testing for epoch 59 index 14:
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Testing for epoch 59 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.3380
Testing for epoch 59 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.3763
Testing for epoch 59 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 6.3430
Testing for epoch 59 index 18:
16/16 [==============================] - 0s 1ms/step - loss: 6.3584
Testing for epoch 59 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 6.3702
Testing for epoch 59 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 6.3720
Testing for epoch 59 index 21:
16/16 [==============================] - 0s 3ms/step - loss: 6.3751
Testing for epoch 59 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 6.3632
Testing for epoch 59 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.3836
Testing for epoch 59 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.3873
Epoch 60 of 60
Testing for epoch 60 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 6.3778
Testing for epoch 60 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 6.3940
Testing for epoch 60 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 6.3929
Testing for epoch 60 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.3982
Testing for epoch 60 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.4078
Testing for epoch 60 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.4026
Testing for epoch 60 index 7:
16/16 [==============================] - 0s 1ms/step - loss: 6.3660
Testing for epoch 60 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.4115
Testing for epoch 60 index 9:
16/16 [==============================] - 0s 1ms/step - loss: 6.3733
Testing for epoch 60 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 6.3655
Testing for epoch 60 index 11:
16/16 [==============================] - 0s 1ms/step - loss: 6.3825
Testing for epoch 60 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 6.4040
Testing for epoch 60 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.3846
Testing for epoch 60 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 6.4046
Testing for epoch 60 index 15:
16/16 [==============================] - 0s 1ms/step - loss: 6.3785
Testing for epoch 60 index 16:
16/16 [==============================] - 0s 3ms/step - loss: 6.3916
Testing for epoch 60 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 6.3746
Testing for epoch 60 index 18:
16/16 [==============================] - 0s 1ms/step - loss: 6.4338
Testing for epoch 60 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 6.4148
Testing for epoch 60 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 6.3923
Testing for epoch 60 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 6.4398
Testing for epoch 60 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 6.3963
Testing for epoch 60 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.3854
Testing for epoch 60 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.3949
391/391 [==============================] - 1s 1ms/stepSO_GAAL(contamination=0.1, lr_d=0.01, lr_g=0.0001, momentum=0.9,
stop_epochs=20)outlier_SO_GAAL_one = list(clf.labels_)outlier_SO_GAAL_one = list(map(lambda x: 1 if x==0 else -1,outlier_SO_GAAL_one))pd.concat([_df,pd.DataFrame(_df['Residual']**2).rename(columns={'Residual':'rst'}),pd.DataFrame(outlier_simul_one),
pd.DataFrame(lof_rst).rename(columns={0:'LOF'}),
pd.DataFrame(outlier_KNN_one).rename(columns={0:'KNN'}),
pd.DataFrame(outlier_OSVM_one).rename(columns={0:'OCSVM'}),
pd.DataFrame(outlier_MCD_one).rename(columns={0:'MCD'}),
pd.DataFrame(outlier_FeatureBagging_one).rename(columns={0:'Feature Bagging'}),
pd.DataFrame(outlier_ABOD_one).rename(columns={0:'ABOD'}),
pd.DataFrame(outlier_alibi_one).rename(columns={0:'IForest'}),
pd.DataFrame(outlier_HBOS_one).rename(columns={0:'HBOS'}),
pd.DataFrame(outlier_SOS_one).rename(columns={0:'SOS'}),
pd.DataFrame(outlier_SO_GAAL_one).rename(columns={0:'SO_GAAL'})],axis=1).\
rename(columns={'Latitude':'Latitude',
'Longitude':'Longitude',
'Magnitude':'Magnitude',
'Year':'Year',
'MagnitudeHat':'MagnitudeHat',
'Residual':'Residual',
'rst':'Anomalious Score',
0:'GODE',
'LOF':'LOF',
'KNN':'KNN',
'OCSVM':'OCSVM',
'MCD':'MCD',
'Feature Bagging':'Feature Bagging',
'ABOD':'ABOD',
'IForest':'IForest',
'HBOS':'HBOS',
'SOS':'SOS',
'SO_GAAL':'SO_GAAL'})| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | KNN | OCSVM | MCD | Feature Bagging | ABOD | IForest | HBOS | SOS | SO_GAAL | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.663 | -26.045 | 5.5 | 2010.0 | 5.514405 | -0.014405 | 0.000207 | 1 | 1 | 1 | -1 | 1 | 1 | 1 | -1 | 1 | 1 | 1 |
| 1 | -19.209 | 167.902 | 5.1 | 2010.0 | 5.114861 | -0.014861 | 0.000221 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 2 | -31.830 | -178.135 | 5.0 | 2010.0 | 5.159778 | -0.159778 | 0.025529 | 1 | 1 | 1 | 1 | -1 | 1 | 1 | -1 | 1 | 1 | 1 |
| 3 | -19.984 | 168.353 | 5.0 | 2010.0 | 5.214340 | -0.214340 | 0.045942 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 4 | 50.380 | 153.964 | 5.0 | 2010.0 | 5.099783 | -0.099783 | 0.009957 | 1 | 1 | -1 | 1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 12493 | -22.874 | 69.345 | 5.2 | 2010.0 | 5.039599 | 0.160401 | 0.025728 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 12494 | 42.360 | -30.462 | 5.0 | 2010.0 | 5.104141 | -0.104141 | 0.010845 | 1 | 1 | -1 | 1 | 1 | 1 | -1 | -1 | 1 | 1 | 1 |
| 12495 | 40.726 | 51.925 | 5.0 | 2010.0 | 4.926934 | 0.073066 | 0.005339 | 1 | -1 | -1 | -1 | 1 | 1 | 1 | -1 | 1 | 1 | 1 |
| 12496 | 30.646 | 83.791 | 5.2 | 2010.0 | 5.240853 | -0.040853 | 0.001669 | 1 | 1 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 12497 | 26.290 | 99.866 | 5.0 | 2010.0 | 4.983210 | 0.016790 | 0.000282 | 1 | -1 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
12498 rows × 18 columns
_conf = Conf_matrx(outlier_true_one,outlier_SO_GAAL_one,tab_orbit)_conf.conf("SO-GAAL (Liu et al., 2019)")twelve = eleven.append(_conf.tab)MO_GAAL
clf = MO_GAAL()
clf.fit(_df[['Latitude','Longitude','Magnitude']])
# _df['MO_GAAL_clf'] = clf.labels_/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/keras/optimizers/legacy/gradient_descent.py:114: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.
super().__init__(name, **kwargs)Epoch 1 of 60
Testing for epoch 1 index 1:
WARNING:tensorflow:5 out of the last 401 calls to <function Model.make_predict_function.<locals>.predict_function at 0x7f42a90bb9d0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.
WARNING:tensorflow:5 out of the last 12 calls to <function Model.make_predict_function.<locals>.predict_function at 0x7f42a90bb8b0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.
391/391 [==============================] - 1s 1ms/step
WARNING:tensorflow:5 out of the last 1947 calls to <function Model.make_train_function.<locals>.train_function at 0x7f428c173040> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.
WARNING:tensorflow:6 out of the last 1948 calls to <function Model.make_train_function.<locals>.train_function at 0x7f42d2fba040> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.
Testing for epoch 1 index 2:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 1 index 3:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 1 index 4:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 1 index 5:
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Testing for epoch 1 index 6:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 1 index 7:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 1 index 8:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 1 index 9:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 1 index 10:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 1 index 11:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 1 index 12:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 1 index 13:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 1 index 14:
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Testing for epoch 1 index 15:
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Testing for epoch 1 index 16:
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Testing for epoch 1 index 17:
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Testing for epoch 1 index 18:
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Testing for epoch 1 index 19:
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Testing for epoch 1 index 20:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 1 index 21:
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Testing for epoch 1 index 22:
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Testing for epoch 1 index 23:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 1 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 2 of 60
Testing for epoch 2 index 1:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 2 index 2:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 2 index 3:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 2 index 4:
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Testing for epoch 2 index 5:
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Testing for epoch 2 index 6:
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Testing for epoch 2 index 7:
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Testing for epoch 2 index 8:
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Testing for epoch 2 index 9:
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Testing for epoch 2 index 10:
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Testing for epoch 2 index 11:
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Testing for epoch 2 index 12:
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Testing for epoch 2 index 13:
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Testing for epoch 2 index 15:
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Testing for epoch 2 index 16:
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Testing for epoch 2 index 17:
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Testing for epoch 2 index 18:
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Testing for epoch 2 index 19:
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Testing for epoch 2 index 20:
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Testing for epoch 2 index 21:
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Testing for epoch 2 index 22:
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Testing for epoch 2 index 23:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 2 index 24:
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Epoch 3 of 60
Testing for epoch 3 index 1:
391/391 [==============================] - 0s 942us/step
Testing for epoch 3 index 2:
391/391 [==============================] - 0s 967us/step
Testing for epoch 3 index 3:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 3 index 4:
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Testing for epoch 3 index 5:
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Testing for epoch 3 index 6:
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Testing for epoch 3 index 7:
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Testing for epoch 3 index 8:
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Testing for epoch 3 index 9:
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Testing for epoch 3 index 10:
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Testing for epoch 3 index 11:
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Testing for epoch 3 index 12:
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Testing for epoch 3 index 13:
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Testing for epoch 3 index 14:
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Testing for epoch 3 index 16:
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Testing for epoch 3 index 17:
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Testing for epoch 3 index 18:
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Testing for epoch 3 index 19:
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Testing for epoch 3 index 21:
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Testing for epoch 3 index 23:
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Testing for epoch 3 index 24:
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Epoch 4 of 60
Testing for epoch 4 index 1:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 4 index 2:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 4 index 3:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 4 index 4:
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Testing for epoch 4 index 5:
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Testing for epoch 4 index 6:
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Testing for epoch 4 index 7:
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Testing for epoch 4 index 8:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 4 index 9:
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Testing for epoch 4 index 10:
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Testing for epoch 4 index 11:
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Testing for epoch 4 index 12:
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Testing for epoch 4 index 13:
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Testing for epoch 4 index 14:
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Testing for epoch 4 index 15:
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Testing for epoch 4 index 16:
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Testing for epoch 4 index 17:
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Testing for epoch 4 index 18:
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Testing for epoch 4 index 19:
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Testing for epoch 4 index 20:
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Testing for epoch 4 index 21:
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Testing for epoch 4 index 22:
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Testing for epoch 4 index 23:
391/391 [==============================] - 0s 887us/step
Testing for epoch 4 index 24:
391/391 [==============================] - 0s 976us/step
Epoch 5 of 60
Testing for epoch 5 index 1:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 5 index 2:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 5 index 3:
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Testing for epoch 5 index 4:
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Testing for epoch 5 index 5:
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Testing for epoch 5 index 6:
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Testing for epoch 5 index 7:
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Testing for epoch 5 index 8:
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Testing for epoch 5 index 9:
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Testing for epoch 5 index 10:
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Testing for epoch 5 index 11:
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Testing for epoch 5 index 12:
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Testing for epoch 5 index 13:
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Testing for epoch 5 index 14:
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Testing for epoch 5 index 15:
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Testing for epoch 5 index 16:
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Testing for epoch 5 index 18:
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Testing for epoch 5 index 19:
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Testing for epoch 5 index 21:
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Testing for epoch 5 index 22:
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Testing for epoch 5 index 23:
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Testing for epoch 5 index 24:
391/391 [==============================] - 0s 930us/step
Epoch 6 of 60
Testing for epoch 6 index 1:
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Testing for epoch 6 index 2:
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Testing for epoch 6 index 3:
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Testing for epoch 6 index 4:
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Testing for epoch 6 index 5:
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Testing for epoch 6 index 6:
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Testing for epoch 6 index 7:
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Testing for epoch 6 index 8:
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Testing for epoch 6 index 24:
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Epoch 7 of 60
Testing for epoch 7 index 1:
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Testing for epoch 7 index 2:
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Testing for epoch 7 index 3:
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Testing for epoch 7 index 6:
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Testing for epoch 7 index 7:
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Testing for epoch 7 index 23:
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Testing for epoch 7 index 24:
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Epoch 8 of 60
Testing for epoch 8 index 1:
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Testing for epoch 8 index 2:
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Testing for epoch 8 index 3:
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Testing for epoch 8 index 4:
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Testing for epoch 8 index 5:
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Testing for epoch 8 index 6:
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Testing for epoch 8 index 7:
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Testing for epoch 8 index 8:
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Testing for epoch 8 index 9:
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Testing for epoch 8 index 10:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 8 index 11:
391/391 [==============================] - 0s 848us/step
Testing for epoch 8 index 12:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 8 index 13:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 8 index 14:
391/391 [==============================] - 0s 938us/step
Testing for epoch 8 index 15:
391/391 [==============================] - 0s 993us/step
Testing for epoch 8 index 16:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 8 index 17:
391/391 [==============================] - 0s 823us/step
Testing for epoch 8 index 18:
391/391 [==============================] - 0s 783us/step
Testing for epoch 8 index 19:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 8 index 20:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 8 index 21:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 8 index 22:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 8 index 23:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 8 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 9 of 60
Testing for epoch 9 index 1:
391/391 [==============================] - 0s 948us/step
Testing for epoch 9 index 2:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 9 index 3:
391/391 [==============================] - 0s 894us/step
Testing for epoch 9 index 4:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 9 index 5:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 9 index 6:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 9 index 7:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 9 index 8:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 9 index 9:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 9 index 10:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 9 index 11:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 9 index 12:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 9 index 13:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 9 index 14:
391/391 [==============================] - 0s 916us/step
Testing for epoch 9 index 15:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 9 index 16:
391/391 [==============================] - 0s 964us/step
Testing for epoch 9 index 17:
391/391 [==============================] - 0s 951us/step
Testing for epoch 9 index 18:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 9 index 19:
391/391 [==============================] - 0s 985us/step
Testing for epoch 9 index 20:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 9 index 21:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 9 index 22:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 9 index 23:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 9 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 10 of 60
Testing for epoch 10 index 1:
391/391 [==============================] - 0s 999us/step
Testing for epoch 10 index 2:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 10 index 3:
391/391 [==============================] - 0s 932us/step
Testing for epoch 10 index 4:
391/391 [==============================] - 0s 981us/step
Testing for epoch 10 index 5:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 10 index 6:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 10 index 7:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 10 index 8:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 10 index 9:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 10 index 10:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 10 index 11:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 10 index 12:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 10 index 13:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 10 index 14:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 10 index 15:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 10 index 16:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 10 index 17:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 10 index 18:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 10 index 19:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 10 index 20:
391/391 [==============================] - 0s 945us/step
Testing for epoch 10 index 21:
391/391 [==============================] - 0s 880us/step
Testing for epoch 10 index 22:
391/391 [==============================] - 0s 875us/step
Testing for epoch 10 index 23:
391/391 [==============================] - 0s 959us/step
Testing for epoch 10 index 24:
391/391 [==============================] - 0s 987us/step
Epoch 11 of 60
Testing for epoch 11 index 1:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 11 index 2:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 11 index 3:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 11 index 4:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 11 index 5:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 11 index 6:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 11 index 7:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 11 index 8:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 11 index 9:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 11 index 10:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 11 index 11:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 11 index 12:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 11 index 13:
391/391 [==============================] - 0s 980us/step
Testing for epoch 11 index 14:
391/391 [==============================] - 0s 952us/step
Testing for epoch 11 index 15:
391/391 [==============================] - 0s 1000us/step
Testing for epoch 11 index 16:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 11 index 17:
391/391 [==============================] - 0s 832us/step
Testing for epoch 11 index 18:
391/391 [==============================] - 0s 890us/step
Testing for epoch 11 index 19:
391/391 [==============================] - 0s 921us/step
Testing for epoch 11 index 20:
391/391 [==============================] - 0s 996us/step
Testing for epoch 11 index 21:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 11 index 22:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 11 index 23:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 11 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 12 of 60
Testing for epoch 12 index 1:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 2:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 3:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 4:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 5:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 6:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 7:
391/391 [==============================] - 0s 901us/step
Testing for epoch 12 index 8:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 9:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 10:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 11:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 12:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 13:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 14:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 15:
391/391 [==============================] - 0s 956us/step
Testing for epoch 12 index 16:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 17:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 18:
391/391 [==============================] - 0s 902us/step
Testing for epoch 12 index 19:
391/391 [==============================] - 0s 976us/step
Testing for epoch 12 index 20:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 21:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 22:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 23:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 12 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 13 of 60
Testing for epoch 13 index 1:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 13 index 2:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 13 index 3:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 13 index 4:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 13 index 5:
391/391 [==============================] - 0s 938us/step
Testing for epoch 13 index 6:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 13 index 7:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 13 index 8:
391/391 [==============================] - 0s 876us/step
Testing for epoch 13 index 9:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 13 index 10:
391/391 [==============================] - 0s 912us/step
Testing for epoch 13 index 11:
391/391 [==============================] - 0s 930us/step
Testing for epoch 13 index 12:
391/391 [==============================] - 0s 980us/step
Testing for epoch 13 index 13:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 13 index 14:
391/391 [==============================] - 0s 940us/step
Testing for epoch 13 index 15:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 13 index 16:
391/391 [==============================] - 0s 843us/step
Testing for epoch 13 index 17:
391/391 [==============================] - 0s 870us/step
Testing for epoch 13 index 18:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 13 index 19:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 13 index 20:
391/391 [==============================] - 0s 918us/step
Testing for epoch 13 index 21:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 13 index 22:
391/391 [==============================] - 0s 635us/step
Testing for epoch 13 index 23:
391/391 [==============================] - 0s 644us/step
Testing for epoch 13 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 14 of 60
Testing for epoch 14 index 1:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 14 index 2:
391/391 [==============================] - 0s 867us/step
Testing for epoch 14 index 3:
391/391 [==============================] - 1s 2ms/step
Testing for epoch 14 index 4:
391/391 [==============================] - 0s 992us/step
Testing for epoch 14 index 5:
391/391 [==============================] - 0s 892us/step
Testing for epoch 14 index 6:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 14 index 7:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 14 index 8:
391/391 [==============================] - 0s 966us/step
Testing for epoch 14 index 9:
391/391 [==============================] - 0s 993us/step
Testing for epoch 14 index 10:
391/391 [==============================] - 0s 988us/step
Testing for epoch 14 index 11:
391/391 [==============================] - 0s 919us/step
Testing for epoch 14 index 12:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 14 index 13:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 14 index 14:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 14 index 15:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 14 index 16:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 14 index 17:
391/391 [==============================] - 0s 982us/step
Testing for epoch 14 index 18:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 14 index 19:
391/391 [==============================] - 0s 994us/step
Testing for epoch 14 index 20:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 14 index 21:
391/391 [==============================] - 0s 895us/step
Testing for epoch 14 index 22:
391/391 [==============================] - 0s 894us/step
Testing for epoch 14 index 23:
391/391 [==============================] - 0s 966us/step
Testing for epoch 14 index 24:
391/391 [==============================] - 0s 891us/step
Epoch 15 of 60
Testing for epoch 15 index 1:
391/391 [==============================] - 0s 999us/step
Testing for epoch 15 index 2:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 15 index 3:
391/391 [==============================] - 0s 981us/step
Testing for epoch 15 index 4:
391/391 [==============================] - 0s 967us/step
Testing for epoch 15 index 5:
391/391 [==============================] - 0s 928us/step
Testing for epoch 15 index 6:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 15 index 7:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 15 index 8:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 15 index 9:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 15 index 10:
391/391 [==============================] - 0s 951us/step
Testing for epoch 15 index 11:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 15 index 12:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 15 index 13:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 15 index 14:
391/391 [==============================] - 0s 982us/step
Testing for epoch 15 index 15:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 15 index 16:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 15 index 17:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 15 index 18:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 15 index 19:
391/391 [==============================] - 0s 963us/step
Testing for epoch 15 index 20:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 15 index 21:
391/391 [==============================] - 0s 978us/step
Testing for epoch 15 index 22:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 15 index 23:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 15 index 24:
391/391 [==============================] - 0s 969us/step
Epoch 16 of 60
Testing for epoch 16 index 1:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 2:
391/391 [==============================] - 0s 998us/step
Testing for epoch 16 index 3:
391/391 [==============================] - 0s 897us/step
Testing for epoch 16 index 4:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 5:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 6:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 7:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 8:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 9:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 10:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 11:
391/391 [==============================] - 0s 933us/step
Testing for epoch 16 index 12:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 13:
391/391 [==============================] - 0s 987us/step
Testing for epoch 16 index 14:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 15:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 16:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 17:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 18:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 19:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 20:
391/391 [==============================] - 0s 895us/step
Testing for epoch 16 index 21:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 22:
391/391 [==============================] - 0s 882us/step
Testing for epoch 16 index 23:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 16 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 17 of 60
Testing for epoch 17 index 1:
391/391 [==============================] - 0s 992us/step
Testing for epoch 17 index 2:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 17 index 3:
391/391 [==============================] - 0s 916us/step
Testing for epoch 17 index 4:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 17 index 5:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 17 index 6:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 17 index 7:
391/391 [==============================] - 0s 854us/step
Testing for epoch 17 index 8:
391/391 [==============================] - 0s 640us/step
Testing for epoch 17 index 9:
391/391 [==============================] - 0s 931us/step
Testing for epoch 17 index 10:
391/391 [==============================] - 0s 615us/step
Testing for epoch 17 index 11:
391/391 [==============================] - 0s 636us/step
Testing for epoch 17 index 12:
391/391 [==============================] - 0s 624us/step
Testing for epoch 17 index 13:
391/391 [==============================] - 0s 645us/step
Testing for epoch 17 index 14:
391/391 [==============================] - 0s 624us/step
Testing for epoch 17 index 15:
391/391 [==============================] - 0s 638us/step
Testing for epoch 17 index 16:
391/391 [==============================] - 0s 635us/step
Testing for epoch 17 index 17:
391/391 [==============================] - 0s 632us/step
Testing for epoch 17 index 18:
391/391 [==============================] - 0s 620us/step
Testing for epoch 17 index 19:
391/391 [==============================] - 0s 640us/step
Testing for epoch 17 index 20:
391/391 [==============================] - 0s 612us/step
Testing for epoch 17 index 21:
391/391 [==============================] - 0s 613us/step
Testing for epoch 17 index 22:
391/391 [==============================] - 0s 601us/step
Testing for epoch 17 index 23:
391/391 [==============================] - 0s 608us/step
Testing for epoch 17 index 24:
391/391 [==============================] - 0s 598us/step
Epoch 18 of 60
Testing for epoch 18 index 1:
391/391 [==============================] - 0s 781us/step
Testing for epoch 18 index 2:
391/391 [==============================] - 0s 656us/step
Testing for epoch 18 index 3:
391/391 [==============================] - 0s 604us/step
Testing for epoch 18 index 4:
391/391 [==============================] - 0s 611us/step
Testing for epoch 18 index 5:
391/391 [==============================] - 0s 619us/step
Testing for epoch 18 index 6:
391/391 [==============================] - 0s 613us/step
Testing for epoch 18 index 7:
391/391 [==============================] - 0s 645us/step
Testing for epoch 18 index 8:
391/391 [==============================] - 0s 625us/step
Testing for epoch 18 index 9:
391/391 [==============================] - 0s 619us/step
Testing for epoch 18 index 10:
391/391 [==============================] - 0s 603us/step
Testing for epoch 18 index 11:
391/391 [==============================] - 0s 606us/step
Testing for epoch 18 index 12:
391/391 [==============================] - 0s 662us/step
Testing for epoch 18 index 13:
391/391 [==============================] - 0s 643us/step
Testing for epoch 18 index 14:
391/391 [==============================] - 0s 826us/step
Testing for epoch 18 index 15:
391/391 [==============================] - 0s 638us/step
Testing for epoch 18 index 16:
391/391 [==============================] - 0s 631us/step
Testing for epoch 18 index 17:
391/391 [==============================] - 0s 640us/step
Testing for epoch 18 index 18:
391/391 [==============================] - 0s 688us/step
Testing for epoch 18 index 19:
391/391 [==============================] - 0s 603us/step
Testing for epoch 18 index 20:
391/391 [==============================] - 0s 633us/step
Testing for epoch 18 index 21:
391/391 [==============================] - 0s 630us/step
Testing for epoch 18 index 22:
391/391 [==============================] - 0s 655us/step
Testing for epoch 18 index 23:
391/391 [==============================] - 0s 608us/step
Testing for epoch 18 index 24:
391/391 [==============================] - 0s 602us/step
Epoch 19 of 60
Testing for epoch 19 index 1:
391/391 [==============================] - 0s 617us/step
Testing for epoch 19 index 2:
391/391 [==============================] - 0s 610us/step
Testing for epoch 19 index 3:
391/391 [==============================] - 0s 624us/step
Testing for epoch 19 index 4:
391/391 [==============================] - 0s 609us/step
Testing for epoch 19 index 5:
391/391 [==============================] - 0s 639us/step
Testing for epoch 19 index 6:
391/391 [==============================] - 0s 618us/step
Testing for epoch 19 index 7:
391/391 [==============================] - 0s 630us/step
Testing for epoch 19 index 8:
391/391 [==============================] - 0s 624us/step
Testing for epoch 19 index 9:
391/391 [==============================] - 0s 764us/step
Testing for epoch 19 index 10:
391/391 [==============================] - 0s 610us/step
Testing for epoch 19 index 11:
391/391 [==============================] - 0s 738us/step
Testing for epoch 19 index 12:
391/391 [==============================] - 0s 629us/step
Testing for epoch 19 index 13:
391/391 [==============================] - 0s 831us/step
Testing for epoch 19 index 14:
391/391 [==============================] - 0s 621us/step
Testing for epoch 19 index 15:
391/391 [==============================] - 0s 636us/step
Testing for epoch 19 index 16:
391/391 [==============================] - 0s 652us/step
Testing for epoch 19 index 17:
391/391 [==============================] - 0s 646us/step
Testing for epoch 19 index 18:
391/391 [==============================] - 0s 652us/step
Testing for epoch 19 index 19:
391/391 [==============================] - 0s 639us/step
Testing for epoch 19 index 20:
391/391 [==============================] - 0s 649us/step
Testing for epoch 19 index 21:
391/391 [==============================] - 0s 659us/step
Testing for epoch 19 index 22:
391/391 [==============================] - 0s 836us/step
Testing for epoch 19 index 23:
391/391 [==============================] - 0s 655us/step
Testing for epoch 19 index 24:
391/391 [==============================] - 0s 640us/step
Epoch 20 of 60
Testing for epoch 20 index 1:
391/391 [==============================] - 0s 618us/step
Testing for epoch 20 index 2:
391/391 [==============================] - 0s 649us/step
Testing for epoch 20 index 3:
391/391 [==============================] - 0s 628us/step
Testing for epoch 20 index 4:
391/391 [==============================] - 0s 688us/step
Testing for epoch 20 index 5:
391/391 [==============================] - 0s 610us/step
Testing for epoch 20 index 6:
391/391 [==============================] - 0s 622us/step
Testing for epoch 20 index 7:
391/391 [==============================] - 0s 654us/step
Testing for epoch 20 index 8:
391/391 [==============================] - 0s 634us/step
Testing for epoch 20 index 9:
391/391 [==============================] - 0s 628us/step
Testing for epoch 20 index 10:
391/391 [==============================] - 0s 667us/step
Testing for epoch 20 index 11:
391/391 [==============================] - 0s 673us/step
Testing for epoch 20 index 12:
391/391 [==============================] - 0s 672us/step
Testing for epoch 20 index 13:
391/391 [==============================] - 0s 646us/step
Testing for epoch 20 index 14:
391/391 [==============================] - 0s 628us/step
Testing for epoch 20 index 15:
391/391 [==============================] - 0s 635us/step
Testing for epoch 20 index 16:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 20 index 17:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 20 index 18:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 20 index 19:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 20 index 20:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 20 index 21:
391/391 [==============================] - 1s 1ms/step
Testing for epoch 20 index 22:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 20 index 23:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 20 index 24:
391/391 [==============================] - 1s 1ms/step
Epoch 21 of 60
Testing for epoch 21 index 1:
391/391 [==============================] - 0s 1ms/step
Testing for epoch 21 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0053
16/16 [==============================] - 0s 3ms/step - loss: 4.1893
16/16 [==============================] - 0s 4ms/step - loss: 4.1896
16/16 [==============================] - 0s 1ms/step - loss: 4.5660
16/16 [==============================] - 0s 1ms/step - loss: 4.5671
16/16 [==============================] - 0s 1ms/step - loss: 4.5671
16/16 [==============================] - 0s 2ms/step - loss: 4.5671
16/16 [==============================] - 0s 2ms/step - loss: 4.5671
16/16 [==============================] - 0s 2ms/step - loss: 4.5671
16/16 [==============================] - 0s 4ms/step - loss: 4.5671
Testing for epoch 21 index 3:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0072
16/16 [==============================] - 0s 3ms/step - loss: 4.2069
16/16 [==============================] - 0s 3ms/step - loss: 4.2071
16/16 [==============================] - 0s 5ms/step - loss: 4.5838
16/16 [==============================] - 0s 2ms/step - loss: 4.5849
16/16 [==============================] - 0s 2ms/step - loss: 4.5849
16/16 [==============================] - 0s 3ms/step - loss: 4.5849
16/16 [==============================] - 0s 3ms/step - loss: 4.5849
16/16 [==============================] - 0s 2ms/step - loss: 4.5849
16/16 [==============================] - 0s 2ms/step - loss: 4.5849
Testing for epoch 21 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0059
16/16 [==============================] - 0s 3ms/step - loss: 4.1521
16/16 [==============================] - 0s 930us/step - loss: 4.1524
16/16 [==============================] - 0s 1ms/step - loss: 4.5355
16/16 [==============================] - 0s 827us/step - loss: 4.5366
16/16 [==============================] - 0s 907us/step - loss: 4.5366
16/16 [==============================] - 0s 974us/step - loss: 4.5366
16/16 [==============================] - 0s 1ms/step - loss: 4.5366
16/16 [==============================] - 0s 987us/step - loss: 4.5366
16/16 [==============================] - 0s 1ms/step - loss: 4.5366
Testing for epoch 21 index 5:
391/391 [==============================] - 0s 673us/step
16/16 [==============================] - 0s 968us/step - loss: 0.0049
16/16 [==============================] - 0s 1ms/step - loss: 4.1369
16/16 [==============================] - 0s 1ms/step - loss: 4.1371
16/16 [==============================] - 0s 1ms/step - loss: 4.5217
16/16 [==============================] - 0s 1ms/step - loss: 4.5228
16/16 [==============================] - 0s 1ms/step - loss: 4.5228
16/16 [==============================] - 0s 997us/step - loss: 4.5228
16/16 [==============================] - 0s 3ms/step - loss: 4.5228
16/16 [==============================] - 0s 3ms/step - loss: 4.5228
16/16 [==============================] - 0s 2ms/step - loss: 4.5228
Testing for epoch 21 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0067
16/16 [==============================] - 0s 3ms/step - loss: 4.1889
16/16 [==============================] - 0s 2ms/step - loss: 4.1892
16/16 [==============================] - 0s 2ms/step - loss: 4.5693
16/16 [==============================] - 0s 3ms/step - loss: 4.5704
16/16 [==============================] - 0s 2ms/step - loss: 4.5704
16/16 [==============================] - 0s 2ms/step - loss: 4.5704
16/16 [==============================] - 0s 3ms/step - loss: 4.5704
16/16 [==============================] - 0s 3ms/step - loss: 4.5704
16/16 [==============================] - 0s 4ms/step - loss: 4.5704
Testing for epoch 21 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0053
16/16 [==============================] - 0s 4ms/step - loss: 4.1930
16/16 [==============================] - 0s 2ms/step - loss: 4.1932
16/16 [==============================] - 0s 3ms/step - loss: 4.5745
16/16 [==============================] - 0s 2ms/step - loss: 4.5756
16/16 [==============================] - 0s 3ms/step - loss: 4.5756
16/16 [==============================] - 0s 2ms/step - loss: 4.5756
16/16 [==============================] - 0s 2ms/step - loss: 4.5756
16/16 [==============================] - 0s 3ms/step - loss: 4.5756
16/16 [==============================] - 0s 5ms/step - loss: 4.5756
Testing for epoch 21 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0054
16/16 [==============================] - 0s 2ms/step - loss: 4.1874
16/16 [==============================] - 0s 2ms/step - loss: 4.1877
16/16 [==============================] - 0s 2ms/step - loss: 4.5691
16/16 [==============================] - 0s 3ms/step - loss: 4.5702
16/16 [==============================] - 0s 2ms/step - loss: 4.5702
16/16 [==============================] - 0s 4ms/step - loss: 4.5702
16/16 [==============================] - 0s 2ms/step - loss: 4.5702
16/16 [==============================] - 0s 2ms/step - loss: 4.5702
16/16 [==============================] - 0s 2ms/step - loss: 4.5702
Testing for epoch 21 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0052
16/16 [==============================] - 0s 2ms/step - loss: 4.1984
16/16 [==============================] - 0s 2ms/step - loss: 4.1986
16/16 [==============================] - 0s 2ms/step - loss: 4.5770
16/16 [==============================] - 0s 3ms/step - loss: 4.5781
16/16 [==============================] - 0s 2ms/step - loss: 4.5781
16/16 [==============================] - 0s 1ms/step - loss: 4.5781
16/16 [==============================] - 0s 2ms/step - loss: 4.5781
16/16 [==============================] - 0s 1ms/step - loss: 4.5781
16/16 [==============================] - 0s 2ms/step - loss: 4.5781
Testing for epoch 21 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0049
16/16 [==============================] - 0s 2ms/step - loss: 4.1775
16/16 [==============================] - 0s 2ms/step - loss: 4.1778
16/16 [==============================] - 0s 3ms/step - loss: 4.5610
16/16 [==============================] - 0s 1ms/step - loss: 4.5621
16/16 [==============================] - 0s 3ms/step - loss: 4.5621
16/16 [==============================] - 0s 2ms/step - loss: 4.5621
16/16 [==============================] - 0s 1ms/step - loss: 4.5621
16/16 [==============================] - 0s 2ms/step - loss: 4.5621
16/16 [==============================] - 0s 2ms/step - loss: 4.5621
Testing for epoch 21 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0052
16/16 [==============================] - 0s 2ms/step - loss: 4.1644
16/16 [==============================] - 0s 2ms/step - loss: 4.1646
16/16 [==============================] - 0s 2ms/step - loss: 4.5477
16/16 [==============================] - 0s 2ms/step - loss: 4.5488
16/16 [==============================] - 0s 2ms/step - loss: 4.5488
16/16 [==============================] - 0s 2ms/step - loss: 4.5488
16/16 [==============================] - 0s 2ms/step - loss: 4.5488
16/16 [==============================] - 0s 2ms/step - loss: 4.5488
16/16 [==============================] - 0s 1ms/step - loss: 4.5488
Testing for epoch 21 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0051
16/16 [==============================] - 0s 2ms/step - loss: 4.1831
16/16 [==============================] - 0s 2ms/step - loss: 4.1833
16/16 [==============================] - 0s 3ms/step - loss: 4.5658
16/16 [==============================] - 0s 2ms/step - loss: 4.5669
16/16 [==============================] - 0s 2ms/step - loss: 4.5669
16/16 [==============================] - 0s 2ms/step - loss: 4.5669
16/16 [==============================] - 0s 2ms/step - loss: 4.5669
16/16 [==============================] - 0s 4ms/step - loss: 4.5669
16/16 [==============================] - 0s 1ms/step - loss: 4.5669
Testing for epoch 21 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0057
16/16 [==============================] - 0s 2ms/step - loss: 4.2442
16/16 [==============================] - 0s 3ms/step - loss: 4.2445
16/16 [==============================] - 0s 1ms/step - loss: 4.6221
16/16 [==============================] - 0s 2ms/step - loss: 4.6232
16/16 [==============================] - 0s 1ms/step - loss: 4.6232
16/16 [==============================] - 0s 1ms/step - loss: 4.6232
16/16 [==============================] - 0s 2ms/step - loss: 4.6232
16/16 [==============================] - 0s 2ms/step - loss: 4.6232
16/16 [==============================] - 0s 2ms/step - loss: 4.6232
Testing for epoch 21 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0063
16/16 [==============================] - 0s 1ms/step - loss: 4.2739
16/16 [==============================] - 0s 2ms/step - loss: 4.2742
16/16 [==============================] - 0s 2ms/step - loss: 4.6488
16/16 [==============================] - 0s 2ms/step - loss: 4.6499
16/16 [==============================] - 0s 2ms/step - loss: 4.6499
16/16 [==============================] - 0s 2ms/step - loss: 4.6499
16/16 [==============================] - 0s 2ms/step - loss: 4.6499
16/16 [==============================] - 0s 2ms/step - loss: 4.6499
16/16 [==============================] - 0s 4ms/step - loss: 4.6499
Testing for epoch 21 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0056
16/16 [==============================] - 0s 3ms/step - loss: 4.2872
16/16 [==============================] - 0s 2ms/step - loss: 4.2875
16/16 [==============================] - 0s 2ms/step - loss: 4.6619
16/16 [==============================] - 0s 2ms/step - loss: 4.6629
16/16 [==============================] - 0s 2ms/step - loss: 4.6629
16/16 [==============================] - 0s 2ms/step - loss: 4.6629
16/16 [==============================] - 0s 1ms/step - loss: 4.6629
16/16 [==============================] - 0s 5ms/step - loss: 4.6629
16/16 [==============================] - 0s 2ms/step - loss: 4.6629
Testing for epoch 21 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0054
16/16 [==============================] - 0s 2ms/step - loss: 4.2823
16/16 [==============================] - 0s 2ms/step - loss: 4.2825
16/16 [==============================] - 0s 2ms/step - loss: 4.6577
16/16 [==============================] - 0s 2ms/step - loss: 4.6588
16/16 [==============================] - 0s 2ms/step - loss: 4.6588
16/16 [==============================] - 0s 2ms/step - loss: 4.6588
16/16 [==============================] - 0s 2ms/step - loss: 4.6588
16/16 [==============================] - 0s 2ms/step - loss: 4.6588
16/16 [==============================] - 0s 2ms/step - loss: 4.6588
Testing for epoch 21 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0051
16/16 [==============================] - 0s 1ms/step - loss: 4.2732
16/16 [==============================] - 0s 2ms/step - loss: 4.2735
16/16 [==============================] - 0s 2ms/step - loss: 4.6472
16/16 [==============================] - 0s 3ms/step - loss: 4.6483
16/16 [==============================] - 0s 2ms/step - loss: 4.6483
16/16 [==============================] - 0s 1ms/step - loss: 4.6483
16/16 [==============================] - 0s 2ms/step - loss: 4.6483
16/16 [==============================] - 0s 4ms/step - loss: 4.6483
16/16 [==============================] - 0s 3ms/step - loss: 4.6483
Testing for epoch 21 index 18:
391/391 [==============================] - 0s 945us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0051
16/16 [==============================] - 0s 2ms/step - loss: 4.3485
16/16 [==============================] - 0s 2ms/step - loss: 4.3488
16/16 [==============================] - 0s 2ms/step - loss: 4.7173
16/16 [==============================] - 0s 2ms/step - loss: 4.7184
16/16 [==============================] - 0s 3ms/step - loss: 4.7184
16/16 [==============================] - 0s 1ms/step - loss: 4.7184
16/16 [==============================] - 0s 1ms/step - loss: 4.7184
16/16 [==============================] - 0s 4ms/step - loss: 4.7184
16/16 [==============================] - 0s 2ms/step - loss: 4.7184
Testing for epoch 21 index 19:
391/391 [==============================] - 0s 983us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0049
16/16 [==============================] - 0s 2ms/step - loss: 4.3035
16/16 [==============================] - 0s 2ms/step - loss: 4.3038
16/16 [==============================] - 0s 2ms/step - loss: 4.6748
16/16 [==============================] - 0s 2ms/step - loss: 4.6758
16/16 [==============================] - 0s 2ms/step - loss: 4.6758
16/16 [==============================] - 0s 2ms/step - loss: 4.6758
16/16 [==============================] - 0s 2ms/step - loss: 4.6758
16/16 [==============================] - 0s 2ms/step - loss: 4.6758
16/16 [==============================] - 0s 2ms/step - loss: 4.6758
Testing for epoch 21 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0055
16/16 [==============================] - 0s 2ms/step - loss: 4.3505
16/16 [==============================] - 0s 2ms/step - loss: 4.3507
16/16 [==============================] - 0s 2ms/step - loss: 4.7176
16/16 [==============================] - 0s 1ms/step - loss: 4.7187
16/16 [==============================] - 0s 2ms/step - loss: 4.7187
16/16 [==============================] - 0s 1ms/step - loss: 4.7187
16/16 [==============================] - 0s 1ms/step - loss: 4.7187
16/16 [==============================] - 0s 2ms/step - loss: 4.7187
16/16 [==============================] - 0s 1ms/step - loss: 4.7187
Testing for epoch 21 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0064
16/16 [==============================] - 0s 2ms/step - loss: 4.3991
16/16 [==============================] - 0s 4ms/step - loss: 4.3993
16/16 [==============================] - 0s 2ms/step - loss: 4.7654
16/16 [==============================] - 0s 2ms/step - loss: 4.7665
16/16 [==============================] - 0s 3ms/step - loss: 4.7665
16/16 [==============================] - 0s 3ms/step - loss: 4.7665
16/16 [==============================] - 0s 2ms/step - loss: 4.7665
16/16 [==============================] - 0s 2ms/step - loss: 4.7665
16/16 [==============================] - 0s 3ms/step - loss: 4.7665
Testing for epoch 21 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0057
16/16 [==============================] - 0s 2ms/step - loss: 4.3672
16/16 [==============================] - 0s 3ms/step - loss: 4.3675
16/16 [==============================] - 0s 2ms/step - loss: 4.7352
16/16 [==============================] - 0s 2ms/step - loss: 4.7362
16/16 [==============================] - 0s 2ms/step - loss: 4.7362
16/16 [==============================] - 0s 1ms/step - loss: 4.7362
16/16 [==============================] - 0s 3ms/step - loss: 4.7362
16/16 [==============================] - 0s 2ms/step - loss: 4.7362
16/16 [==============================] - 0s 2ms/step - loss: 4.7362
Testing for epoch 21 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0048
16/16 [==============================] - 0s 1ms/step - loss: 4.3807
16/16 [==============================] - 0s 2ms/step - loss: 4.3810
16/16 [==============================] - 0s 2ms/step - loss: 4.7456
16/16 [==============================] - 0s 2ms/step - loss: 4.7467
16/16 [==============================] - 0s 1ms/step - loss: 4.7467
16/16 [==============================] - 0s 2ms/step - loss: 4.7467
16/16 [==============================] - 0s 1ms/step - loss: 4.7467
16/16 [==============================] - 0s 1ms/step - loss: 4.7467
16/16 [==============================] - 0s 1ms/step - loss: 4.7467
Testing for epoch 21 index 24:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0046
16/16 [==============================] - 0s 2ms/step - loss: 4.3179
16/16 [==============================] - 0s 2ms/step - loss: 4.3181
16/16 [==============================] - 0s 2ms/step - loss: 4.6918
16/16 [==============================] - 0s 2ms/step - loss: 4.6929
16/16 [==============================] - 0s 3ms/step - loss: 4.6929
16/16 [==============================] - 0s 1ms/step - loss: 4.6929
16/16 [==============================] - 0s 1ms/step - loss: 4.6929
16/16 [==============================] - 0s 2ms/step - loss: 4.6929
16/16 [==============================] - 0s 2ms/step - loss: 4.6929
Epoch 22 of 60
Testing for epoch 22 index 1:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0048
16/16 [==============================] - 0s 2ms/step - loss: 4.3862
16/16 [==============================] - 0s 2ms/step - loss: 4.3865
16/16 [==============================] - 0s 2ms/step - loss: 4.7532
16/16 [==============================] - 0s 2ms/step - loss: 4.7542
16/16 [==============================] - 0s 2ms/step - loss: 4.7542
16/16 [==============================] - 0s 2ms/step - loss: 4.7542
16/16 [==============================] - 0s 2ms/step - loss: 4.7542
16/16 [==============================] - 0s 2ms/step - loss: 4.7542
16/16 [==============================] - 0s 2ms/step - loss: 4.7542
Testing for epoch 22 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0051
16/16 [==============================] - 0s 2ms/step - loss: 4.3229
16/16 [==============================] - 0s 2ms/step - loss: 4.3231
16/16 [==============================] - 0s 2ms/step - loss: 4.6981
16/16 [==============================] - 0s 2ms/step - loss: 4.6992
16/16 [==============================] - 0s 2ms/step - loss: 4.6992
16/16 [==============================] - 0s 1ms/step - loss: 4.6992
16/16 [==============================] - 0s 2ms/step - loss: 4.6992
16/16 [==============================] - 0s 2ms/step - loss: 4.6992
16/16 [==============================] - 0s 2ms/step - loss: 4.6992
Testing for epoch 22 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0050
16/16 [==============================] - 0s 2ms/step - loss: 4.2999
16/16 [==============================] - 0s 1ms/step - loss: 4.3002
16/16 [==============================] - 0s 1ms/step - loss: 4.6792
16/16 [==============================] - 0s 2ms/step - loss: 4.6803
16/16 [==============================] - 0s 2ms/step - loss: 4.6803
16/16 [==============================] - 0s 3ms/step - loss: 4.6803
16/16 [==============================] - 0s 3ms/step - loss: 4.6803
16/16 [==============================] - 0s 2ms/step - loss: 4.6803
16/16 [==============================] - 0s 2ms/step - loss: 4.6803
Testing for epoch 22 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0042
16/16 [==============================] - 0s 2ms/step - loss: 4.2638
16/16 [==============================] - 0s 2ms/step - loss: 4.2640
16/16 [==============================] - 0s 2ms/step - loss: 4.6468
16/16 [==============================] - 0s 2ms/step - loss: 4.6479
16/16 [==============================] - 0s 2ms/step - loss: 4.6479
16/16 [==============================] - 0s 2ms/step - loss: 4.6479
16/16 [==============================] - 0s 2ms/step - loss: 4.6479
16/16 [==============================] - 0s 1ms/step - loss: 4.6479
16/16 [==============================] - 0s 1ms/step - loss: 4.6479
Testing for epoch 22 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0052
16/16 [==============================] - 0s 3ms/step - loss: 4.2638
16/16 [==============================] - 0s 2ms/step - loss: 4.2641
16/16 [==============================] - 0s 2ms/step - loss: 4.6476
16/16 [==============================] - 0s 2ms/step - loss: 4.6487
16/16 [==============================] - 0s 1ms/step - loss: 4.6487
16/16 [==============================] - 0s 2ms/step - loss: 4.6487
16/16 [==============================] - 0s 2ms/step - loss: 4.6487
16/16 [==============================] - 0s 1ms/step - loss: 4.6487
16/16 [==============================] - 0s 2ms/step - loss: 4.6487
Testing for epoch 22 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0049
16/16 [==============================] - 0s 2ms/step - loss: 4.2891
16/16 [==============================] - 0s 1ms/step - loss: 4.2893
16/16 [==============================] - 0s 2ms/step - loss: 4.6713
16/16 [==============================] - 0s 2ms/step - loss: 4.6724
16/16 [==============================] - 0s 3ms/step - loss: 4.6724
16/16 [==============================] - 0s 2ms/step - loss: 4.6724
16/16 [==============================] - 0s 3ms/step - loss: 4.6724
16/16 [==============================] - 0s 2ms/step - loss: 4.6724
16/16 [==============================] - 0s 3ms/step - loss: 4.6724
Testing for epoch 22 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0047
16/16 [==============================] - 0s 2ms/step - loss: 4.2911
16/16 [==============================] - 0s 2ms/step - loss: 4.2914
16/16 [==============================] - 0s 2ms/step - loss: 4.6719
16/16 [==============================] - 0s 2ms/step - loss: 4.6730
16/16 [==============================] - 0s 1ms/step - loss: 4.6730
16/16 [==============================] - 0s 2ms/step - loss: 4.6730
16/16 [==============================] - 0s 1ms/step - loss: 4.6730
16/16 [==============================] - 0s 2ms/step - loss: 4.6730
16/16 [==============================] - 0s 2ms/step - loss: 4.6730
Testing for epoch 22 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0051
16/16 [==============================] - 0s 2ms/step - loss: 4.3165
16/16 [==============================] - 0s 2ms/step - loss: 4.3168
16/16 [==============================] - 0s 2ms/step - loss: 4.6965
16/16 [==============================] - 0s 2ms/step - loss: 4.6976
16/16 [==============================] - 0s 2ms/step - loss: 4.6976
16/16 [==============================] - 0s 1ms/step - loss: 4.6976
16/16 [==============================] - 0s 1ms/step - loss: 4.6976
16/16 [==============================] - 0s 2ms/step - loss: 4.6976
16/16 [==============================] - 0s 1ms/step - loss: 4.6976
Testing for epoch 22 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0053
16/16 [==============================] - 0s 1ms/step - loss: 4.3859
16/16 [==============================] - 0s 2ms/step - loss: 4.3862
16/16 [==============================] - 0s 3ms/step - loss: 4.7585
16/16 [==============================] - 0s 2ms/step - loss: 4.7596
16/16 [==============================] - 0s 2ms/step - loss: 4.7596
16/16 [==============================] - 0s 2ms/step - loss: 4.7596
16/16 [==============================] - 0s 1ms/step - loss: 4.7596
16/16 [==============================] - 0s 2ms/step - loss: 4.7596
16/16 [==============================] - 0s 1ms/step - loss: 4.7596
Testing for epoch 22 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0048
16/16 [==============================] - 0s 2ms/step - loss: 4.3127
16/16 [==============================] - 0s 1ms/step - loss: 4.3130
16/16 [==============================] - 0s 1ms/step - loss: 4.6926
16/16 [==============================] - 0s 2ms/step - loss: 4.6937
16/16 [==============================] - 0s 1ms/step - loss: 4.6937
16/16 [==============================] - 0s 2ms/step - loss: 4.6937
16/16 [==============================] - 0s 1ms/step - loss: 4.6937
16/16 [==============================] - 0s 3ms/step - loss: 4.6937
16/16 [==============================] - 0s 2ms/step - loss: 4.6937
Testing for epoch 22 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0052
16/16 [==============================] - 0s 1ms/step - loss: 4.3202
16/16 [==============================] - 0s 2ms/step - loss: 4.3205
16/16 [==============================] - 0s 2ms/step - loss: 4.7029
16/16 [==============================] - 0s 2ms/step - loss: 4.7040
16/16 [==============================] - 0s 2ms/step - loss: 4.7040
16/16 [==============================] - 0s 2ms/step - loss: 4.7040
16/16 [==============================] - 0s 3ms/step - loss: 4.7040
16/16 [==============================] - 0s 2ms/step - loss: 4.7040
16/16 [==============================] - 0s 3ms/step - loss: 4.7040
Testing for epoch 22 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0051
16/16 [==============================] - 0s 2ms/step - loss: 4.2978
16/16 [==============================] - 0s 2ms/step - loss: 4.2981
16/16 [==============================] - 0s 2ms/step - loss: 4.6837
16/16 [==============================] - 0s 1ms/step - loss: 4.6848
16/16 [==============================] - 0s 3ms/step - loss: 4.6848
16/16 [==============================] - 0s 2ms/step - loss: 4.6848
16/16 [==============================] - 0s 1ms/step - loss: 4.6848
16/16 [==============================] - 0s 2ms/step - loss: 4.6848
16/16 [==============================] - 0s 1ms/step - loss: 4.6848
Testing for epoch 22 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0050
16/16 [==============================] - 0s 2ms/step - loss: 4.3087
16/16 [==============================] - 0s 3ms/step - loss: 4.3090
16/16 [==============================] - 0s 3ms/step - loss: 4.6928
16/16 [==============================] - 0s 1ms/step - loss: 4.6939
16/16 [==============================] - 0s 2ms/step - loss: 4.6939
16/16 [==============================] - 0s 1ms/step - loss: 4.6939
16/16 [==============================] - 0s 2ms/step - loss: 4.6939
16/16 [==============================] - 0s 2ms/step - loss: 4.6939
16/16 [==============================] - 0s 2ms/step - loss: 4.6939
Testing for epoch 22 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0047
16/16 [==============================] - 0s 2ms/step - loss: 4.3293
16/16 [==============================] - 0s 3ms/step - loss: 4.3296
16/16 [==============================] - 0s 2ms/step - loss: 4.7114
16/16 [==============================] - 0s 2ms/step - loss: 4.7125
16/16 [==============================] - 0s 2ms/step - loss: 4.7125
16/16 [==============================] - 0s 2ms/step - loss: 4.7125
16/16 [==============================] - 0s 2ms/step - loss: 4.7125
16/16 [==============================] - 0s 2ms/step - loss: 4.7125
16/16 [==============================] - 0s 2ms/step - loss: 4.7125
Testing for epoch 22 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0051
16/16 [==============================] - 0s 2ms/step - loss: 4.3222
16/16 [==============================] - 0s 2ms/step - loss: 4.3225
16/16 [==============================] - 0s 2ms/step - loss: 4.7039
16/16 [==============================] - 0s 2ms/step - loss: 4.7050
16/16 [==============================] - 0s 2ms/step - loss: 4.7050
16/16 [==============================] - 0s 2ms/step - loss: 4.7050
16/16 [==============================] - 0s 3ms/step - loss: 4.7050
16/16 [==============================] - 0s 3ms/step - loss: 4.7050
16/16 [==============================] - 0s 2ms/step - loss: 4.7050
Testing for epoch 22 index 16:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0049
16/16 [==============================] - 0s 2ms/step - loss: 4.3243
16/16 [==============================] - 0s 2ms/step - loss: 4.3246
16/16 [==============================] - 0s 2ms/step - loss: 4.7087
16/16 [==============================] - 0s 2ms/step - loss: 4.7098
16/16 [==============================] - 0s 1ms/step - loss: 4.7098
16/16 [==============================] - 0s 2ms/step - loss: 4.7098
16/16 [==============================] - 0s 1ms/step - loss: 4.7098
16/16 [==============================] - 0s 1ms/step - loss: 4.7098
16/16 [==============================] - 0s 2ms/step - loss: 4.7098
Testing for epoch 22 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0047
16/16 [==============================] - 0s 2ms/step - loss: 4.3615
16/16 [==============================] - 0s 2ms/step - loss: 4.3617
16/16 [==============================] - 0s 3ms/step - loss: 4.7409
16/16 [==============================] - 0s 1ms/step - loss: 4.7420
16/16 [==============================] - 0s 2ms/step - loss: 4.7420
16/16 [==============================] - 0s 2ms/step - loss: 4.7420
16/16 [==============================] - 0s 2ms/step - loss: 4.7420
16/16 [==============================] - 0s 2ms/step - loss: 4.7420
16/16 [==============================] - 0s 1ms/step - loss: 4.7420
Testing for epoch 22 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0053
16/16 [==============================] - 0s 2ms/step - loss: 4.3704
16/16 [==============================] - 0s 2ms/step - loss: 4.3707
16/16 [==============================] - 0s 2ms/step - loss: 4.7505
16/16 [==============================] - 0s 4ms/step - loss: 4.7516
16/16 [==============================] - 0s 2ms/step - loss: 4.7516
16/16 [==============================] - 0s 3ms/step - loss: 4.7516
16/16 [==============================] - 0s 1ms/step - loss: 4.7516
16/16 [==============================] - 0s 2ms/step - loss: 4.7516
16/16 [==============================] - 0s 3ms/step - loss: 4.7516
Testing for epoch 22 index 19:
391/391 [==============================] - 0s 993us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0045
16/16 [==============================] - 0s 1ms/step - loss: 4.3239
16/16 [==============================] - 0s 1ms/step - loss: 4.3242
16/16 [==============================] - 0s 3ms/step - loss: 4.7060
16/16 [==============================] - 0s 3ms/step - loss: 4.7071
16/16 [==============================] - 0s 2ms/step - loss: 4.7071
16/16 [==============================] - 0s 2ms/step - loss: 4.7071
16/16 [==============================] - 0s 2ms/step - loss: 4.7071
16/16 [==============================] - 0s 3ms/step - loss: 4.7071
16/16 [==============================] - 0s 2ms/step - loss: 4.7071
Testing for epoch 22 index 20:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0045
16/16 [==============================] - 0s 2ms/step - loss: 4.3742
16/16 [==============================] - 0s 2ms/step - loss: 4.3744
16/16 [==============================] - 0s 2ms/step - loss: 4.7507
16/16 [==============================] - 0s 1ms/step - loss: 4.7518
16/16 [==============================] - 0s 3ms/step - loss: 4.7518
16/16 [==============================] - 0s 1ms/step - loss: 4.7518
16/16 [==============================] - 0s 1ms/step - loss: 4.7518
16/16 [==============================] - 0s 2ms/step - loss: 4.7518
16/16 [==============================] - 0s 1ms/step - loss: 4.7518
Testing for epoch 22 index 21:
391/391 [==============================] - 0s 918us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0049
16/16 [==============================] - 0s 1ms/step - loss: 4.4461
16/16 [==============================] - 0s 1ms/step - loss: 4.4464
16/16 [==============================] - 0s 2ms/step - loss: 4.8190
16/16 [==============================] - 0s 2ms/step - loss: 4.8201
16/16 [==============================] - 0s 2ms/step - loss: 4.8201
16/16 [==============================] - 0s 2ms/step - loss: 4.8201
16/16 [==============================] - 0s 3ms/step - loss: 4.8201
16/16 [==============================] - 0s 2ms/step - loss: 4.8201
16/16 [==============================] - 0s 1ms/step - loss: 4.8201
Testing for epoch 22 index 22:
391/391 [==============================] - 0s 965us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0043
16/16 [==============================] - 0s 2ms/step - loss: 4.4383
16/16 [==============================] - 0s 2ms/step - loss: 4.4386
16/16 [==============================] - 0s 2ms/step - loss: 4.8103
16/16 [==============================] - 0s 2ms/step - loss: 4.8114
16/16 [==============================] - 0s 2ms/step - loss: 4.8114
16/16 [==============================] - 0s 2ms/step - loss: 4.8114
16/16 [==============================] - 0s 3ms/step - loss: 4.8114
16/16 [==============================] - 0s 2ms/step - loss: 4.8114
16/16 [==============================] - 0s 2ms/step - loss: 4.8114
Testing for epoch 22 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0044
16/16 [==============================] - 0s 4ms/step - loss: 4.4555
16/16 [==============================] - 0s 1ms/step - loss: 4.4558
16/16 [==============================] - 0s 2ms/step - loss: 4.8272
16/16 [==============================] - 0s 1ms/step - loss: 4.8283
16/16 [==============================] - 0s 1ms/step - loss: 4.8283
16/16 [==============================] - 0s 2ms/step - loss: 4.8283
16/16 [==============================] - 0s 4ms/step - loss: 4.8283
16/16 [==============================] - 0s 1ms/step - loss: 4.8283
16/16 [==============================] - 0s 1ms/step - loss: 4.8283
Testing for epoch 22 index 24:
391/391 [==============================] - 0s 989us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0048
16/16 [==============================] - 0s 2ms/step - loss: 4.4925
16/16 [==============================] - 0s 3ms/step - loss: 4.4928
16/16 [==============================] - 0s 3ms/step - loss: 4.8605
16/16 [==============================] - 0s 2ms/step - loss: 4.8615
16/16 [==============================] - 0s 2ms/step - loss: 4.8615
16/16 [==============================] - 0s 1ms/step - loss: 4.8615
16/16 [==============================] - 0s 2ms/step - loss: 4.8615
16/16 [==============================] - 0s 2ms/step - loss: 4.8615
16/16 [==============================] - 0s 2ms/step - loss: 4.8615
Epoch 23 of 60
Testing for epoch 23 index 1:
391/391 [==============================] - 0s 982us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0049
16/16 [==============================] - 0s 3ms/step - loss: 4.4335
16/16 [==============================] - 0s 1ms/step - loss: 4.4337
16/16 [==============================] - 0s 2ms/step - loss: 4.8087
16/16 [==============================] - 0s 2ms/step - loss: 4.8098
16/16 [==============================] - 0s 3ms/step - loss: 4.8098
16/16 [==============================] - 0s 3ms/step - loss: 4.8098
16/16 [==============================] - 0s 3ms/step - loss: 4.8098
16/16 [==============================] - 0s 3ms/step - loss: 4.8098
16/16 [==============================] - 0s 2ms/step - loss: 4.8098
Testing for epoch 23 index 2:
391/391 [==============================] - 0s 951us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0047
16/16 [==============================] - 0s 1ms/step - loss: 4.4281
16/16 [==============================] - 0s 1ms/step - loss: 4.4284
16/16 [==============================] - 0s 1ms/step - loss: 4.8030
16/16 [==============================] - 0s 2ms/step - loss: 4.8041
16/16 [==============================] - 0s 2ms/step - loss: 4.8041
16/16 [==============================] - 0s 1ms/step - loss: 4.8041
16/16 [==============================] - 0s 2ms/step - loss: 4.8041
16/16 [==============================] - 0s 2ms/step - loss: 4.8041
16/16 [==============================] - 0s 2ms/step - loss: 4.8041
Testing for epoch 23 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0047
16/16 [==============================] - 0s 1ms/step - loss: 4.4436
16/16 [==============================] - 0s 2ms/step - loss: 4.4439
16/16 [==============================] - 0s 2ms/step - loss: 4.8185
16/16 [==============================] - 0s 3ms/step - loss: 4.8196
16/16 [==============================] - 0s 1ms/step - loss: 4.8196
16/16 [==============================] - 0s 2ms/step - loss: 4.8196
16/16 [==============================] - 0s 2ms/step - loss: 4.8196
16/16 [==============================] - 0s 2ms/step - loss: 4.8196
16/16 [==============================] - 0s 2ms/step - loss: 4.8196
Testing for epoch 23 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0049
16/16 [==============================] - 0s 1ms/step - loss: 4.4666
16/16 [==============================] - 0s 1ms/step - loss: 4.4669
16/16 [==============================] - 0s 1ms/step - loss: 4.8390
16/16 [==============================] - 0s 2ms/step - loss: 4.8401
16/16 [==============================] - 0s 4ms/step - loss: 4.8401
16/16 [==============================] - 0s 3ms/step - loss: 4.8401
16/16 [==============================] - 0s 2ms/step - loss: 4.8401
16/16 [==============================] - 0s 1ms/step - loss: 4.8401
16/16 [==============================] - 0s 2ms/step - loss: 4.8401
Testing for epoch 23 index 5:
391/391 [==============================] - 0s 997us/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0046
16/16 [==============================] - 0s 1ms/step - loss: 4.4613
16/16 [==============================] - 0s 2ms/step - loss: 4.4616
16/16 [==============================] - 0s 1ms/step - loss: 4.8346
16/16 [==============================] - 0s 2ms/step - loss: 4.8357
16/16 [==============================] - 0s 1ms/step - loss: 4.8357
16/16 [==============================] - 0s 1ms/step - loss: 4.8357
16/16 [==============================] - 0s 2ms/step - loss: 4.8357
16/16 [==============================] - 0s 3ms/step - loss: 4.8357
16/16 [==============================] - 0s 2ms/step - loss: 4.8357
Testing for epoch 23 index 6:
391/391 [==============================] - 0s 986us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0042
16/16 [==============================] - 0s 2ms/step - loss: 4.4197
16/16 [==============================] - 0s 1ms/step - loss: 4.4200
16/16 [==============================] - 0s 2ms/step - loss: 4.7974
16/16 [==============================] - 0s 2ms/step - loss: 4.7984
16/16 [==============================] - 0s 2ms/step - loss: 4.7984
16/16 [==============================] - 0s 2ms/step - loss: 4.7984
16/16 [==============================] - 0s 2ms/step - loss: 4.7984
16/16 [==============================] - 0s 2ms/step - loss: 4.7984
16/16 [==============================] - 0s 2ms/step - loss: 4.7984
Testing for epoch 23 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0049
16/16 [==============================] - 0s 2ms/step - loss: 4.4492
16/16 [==============================] - 0s 2ms/step - loss: 4.4495
16/16 [==============================] - 0s 2ms/step - loss: 4.8234
16/16 [==============================] - 0s 1ms/step - loss: 4.8245
16/16 [==============================] - 0s 1ms/step - loss: 4.8245
16/16 [==============================] - 0s 1ms/step - loss: 4.8245
16/16 [==============================] - 0s 1ms/step - loss: 4.8245
16/16 [==============================] - 0s 1ms/step - loss: 4.8245
16/16 [==============================] - 0s 4ms/step - loss: 4.8245
Testing for epoch 23 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0050
16/16 [==============================] - 0s 2ms/step - loss: 4.4667
16/16 [==============================] - 0s 3ms/step - loss: 4.4670
16/16 [==============================] - 0s 3ms/step - loss: 4.8407
16/16 [==============================] - 0s 1ms/step - loss: 4.8418
16/16 [==============================] - 0s 3ms/step - loss: 4.8418
16/16 [==============================] - 0s 2ms/step - loss: 4.8418
16/16 [==============================] - 0s 2ms/step - loss: 4.8418
16/16 [==============================] - 0s 1ms/step - loss: 4.8418
16/16 [==============================] - 0s 2ms/step - loss: 4.8418
Testing for epoch 23 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0046
16/16 [==============================] - 0s 1ms/step - loss: 4.4875
16/16 [==============================] - 0s 3ms/step - loss: 4.4878
16/16 [==============================] - 0s 2ms/step - loss: 4.8594
16/16 [==============================] - 0s 1ms/step - loss: 4.8605
16/16 [==============================] - 0s 3ms/step - loss: 4.8605
16/16 [==============================] - 0s 1ms/step - loss: 4.8605
16/16 [==============================] - 0s 2ms/step - loss: 4.8605
16/16 [==============================] - 0s 1ms/step - loss: 4.8605
16/16 [==============================] - 0s 5ms/step - loss: 4.8605
Testing for epoch 23 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0044
16/16 [==============================] - 0s 1ms/step - loss: 4.4148
16/16 [==============================] - 0s 2ms/step - loss: 4.4150
16/16 [==============================] - 0s 2ms/step - loss: 4.7937
16/16 [==============================] - 0s 2ms/step - loss: 4.7948
16/16 [==============================] - 0s 2ms/step - loss: 4.7948
16/16 [==============================] - 0s 2ms/step - loss: 4.7948
16/16 [==============================] - 0s 4ms/step - loss: 4.7948
16/16 [==============================] - 0s 2ms/step - loss: 4.7948
16/16 [==============================] - 0s 3ms/step - loss: 4.7948
Testing for epoch 23 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0047
16/16 [==============================] - 0s 2ms/step - loss: 4.3964
16/16 [==============================] - 0s 2ms/step - loss: 4.3967
16/16 [==============================] - 0s 1ms/step - loss: 4.7782
16/16 [==============================] - 0s 1ms/step - loss: 4.7793
16/16 [==============================] - 0s 2ms/step - loss: 4.7793
16/16 [==============================] - 0s 2ms/step - loss: 4.7793
16/16 [==============================] - 0s 4ms/step - loss: 4.7793
16/16 [==============================] - 0s 2ms/step - loss: 4.7793
16/16 [==============================] - 0s 2ms/step - loss: 4.7793
Testing for epoch 23 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0047
16/16 [==============================] - 0s 3ms/step - loss: 4.4029
16/16 [==============================] - 0s 2ms/step - loss: 4.4032
16/16 [==============================] - 0s 1ms/step - loss: 4.7863
16/16 [==============================] - 0s 2ms/step - loss: 4.7874
16/16 [==============================] - 0s 1ms/step - loss: 4.7874
16/16 [==============================] - 0s 4ms/step - loss: 4.7874
16/16 [==============================] - 0s 2ms/step - loss: 4.7874
16/16 [==============================] - 0s 2ms/step - loss: 4.7874
16/16 [==============================] - 0s 1ms/step - loss: 4.7874
Testing for epoch 23 index 13:
391/391 [==============================] - 0s 982us/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0058
16/16 [==============================] - 0s 2ms/step - loss: 4.4024
16/16 [==============================] - 0s 2ms/step - loss: 4.4027
16/16 [==============================] - 0s 2ms/step - loss: 4.7849
16/16 [==============================] - 0s 1ms/step - loss: 4.7860
16/16 [==============================] - 0s 2ms/step - loss: 4.7860
16/16 [==============================] - 0s 2ms/step - loss: 4.7860
16/16 [==============================] - 0s 2ms/step - loss: 4.7860
16/16 [==============================] - 0s 2ms/step - loss: 4.7860
16/16 [==============================] - 0s 1ms/step - loss: 4.7860
Testing for epoch 23 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0057
16/16 [==============================] - 0s 1ms/step - loss: 4.4157
16/16 [==============================] - 0s 2ms/step - loss: 4.4160
16/16 [==============================] - 0s 2ms/step - loss: 4.7979
16/16 [==============================] - 0s 2ms/step - loss: 4.7990
16/16 [==============================] - 0s 2ms/step - loss: 4.7990
16/16 [==============================] - 0s 2ms/step - loss: 4.7990
16/16 [==============================] - 0s 2ms/step - loss: 4.7990
16/16 [==============================] - 0s 2ms/step - loss: 4.7990
16/16 [==============================] - 0s 2ms/step - loss: 4.7990
Testing for epoch 23 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0050
16/16 [==============================] - 0s 2ms/step - loss: 4.4537
16/16 [==============================] - 0s 1ms/step - loss: 4.4539
16/16 [==============================] - 0s 2ms/step - loss: 4.8338
16/16 [==============================] - 0s 1ms/step - loss: 4.8349
16/16 [==============================] - 0s 2ms/step - loss: 4.8349
16/16 [==============================] - 0s 2ms/step - loss: 4.8349
16/16 [==============================] - 0s 2ms/step - loss: 4.8349
16/16 [==============================] - 0s 2ms/step - loss: 4.8349
16/16 [==============================] - 0s 3ms/step - loss: 4.8349
Testing for epoch 23 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0058
16/16 [==============================] - 0s 2ms/step - loss: 4.4932
16/16 [==============================] - 0s 2ms/step - loss: 4.4934
16/16 [==============================] - 0s 1ms/step - loss: 4.8687
16/16 [==============================] - 0s 3ms/step - loss: 4.8697
16/16 [==============================] - 0s 2ms/step - loss: 4.8697
16/16 [==============================] - 0s 2ms/step - loss: 4.8697
16/16 [==============================] - 0s 2ms/step - loss: 4.8697
16/16 [==============================] - 0s 3ms/step - loss: 4.8697
16/16 [==============================] - 0s 2ms/step - loss: 4.8697
Testing for epoch 23 index 17:
391/391 [==============================] - 0s 1000us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0044
16/16 [==============================] - 0s 1ms/step - loss: 4.4651
16/16 [==============================] - 0s 1ms/step - loss: 4.4654
16/16 [==============================] - 0s 1ms/step - loss: 4.8447
16/16 [==============================] - 0s 1ms/step - loss: 4.8458
16/16 [==============================] - 0s 2ms/step - loss: 4.8458
16/16 [==============================] - 0s 1ms/step - loss: 4.8458
16/16 [==============================] - 0s 3ms/step - loss: 4.8458
16/16 [==============================] - 0s 1ms/step - loss: 4.8458
16/16 [==============================] - 0s 2ms/step - loss: 4.8458
Testing for epoch 23 index 18:
391/391 [==============================] - 0s 936us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0047
16/16 [==============================] - 0s 1ms/step - loss: 4.4351
16/16 [==============================] - 0s 1ms/step - loss: 4.4354
16/16 [==============================] - 0s 2ms/step - loss: 4.8153
16/16 [==============================] - 0s 2ms/step - loss: 4.8164
16/16 [==============================] - 0s 1ms/step - loss: 4.8164
16/16 [==============================] - 0s 1ms/step - loss: 4.8164
16/16 [==============================] - 0s 1ms/step - loss: 4.8164
16/16 [==============================] - 0s 2ms/step - loss: 4.8164
16/16 [==============================] - 0s 2ms/step - loss: 4.8164
Testing for epoch 23 index 19:
391/391 [==============================] - 0s 952us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0048
16/16 [==============================] - 0s 2ms/step - loss: 4.5066
16/16 [==============================] - 0s 2ms/step - loss: 4.5068
16/16 [==============================] - 0s 2ms/step - loss: 4.8831
16/16 [==============================] - 0s 1ms/step - loss: 4.8842
16/16 [==============================] - 0s 2ms/step - loss: 4.8842
16/16 [==============================] - 0s 2ms/step - loss: 4.8842
16/16 [==============================] - 0s 2ms/step - loss: 4.8842
16/16 [==============================] - 0s 2ms/step - loss: 4.8842
16/16 [==============================] - 0s 3ms/step - loss: 4.8842
Testing for epoch 23 index 20:
391/391 [==============================] - 0s 939us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0055
16/16 [==============================] - 0s 2ms/step - loss: 4.4556
16/16 [==============================] - 0s 2ms/step - loss: 4.4559
16/16 [==============================] - 0s 2ms/step - loss: 4.8344
16/16 [==============================] - 0s 3ms/step - loss: 4.8355
16/16 [==============================] - 0s 3ms/step - loss: 4.8355
16/16 [==============================] - 0s 2ms/step - loss: 4.8355
16/16 [==============================] - 0s 1ms/step - loss: 4.8355
16/16 [==============================] - 0s 1ms/step - loss: 4.8355
16/16 [==============================] - 0s 2ms/step - loss: 4.8355
Testing for epoch 23 index 21:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0043
16/16 [==============================] - 0s 1ms/step - loss: 4.5131
16/16 [==============================] - 0s 1ms/step - loss: 4.5133
16/16 [==============================] - 0s 728us/step - loss: 4.8877
16/16 [==============================] - 0s 1ms/step - loss: 4.8887
16/16 [==============================] - 0s 2ms/step - loss: 4.8887
16/16 [==============================] - 0s 889us/step - loss: 4.8887
16/16 [==============================] - 0s 772us/step - loss: 4.8887
16/16 [==============================] - 0s 838us/step - loss: 4.8887
16/16 [==============================] - 0s 849us/step - loss: 4.8887
Testing for epoch 23 index 22:
391/391 [==============================] - 0s 893us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0048
16/16 [==============================] - 0s 1ms/step - loss: 4.4867
16/16 [==============================] - 0s 1ms/step - loss: 4.4870
16/16 [==============================] - 0s 902us/step - loss: 4.8632
16/16 [==============================] - 0s 2ms/step - loss: 4.8643
16/16 [==============================] - 0s 1ms/step - loss: 4.8643
16/16 [==============================] - 0s 3ms/step - loss: 4.8643
16/16 [==============================] - 0s 3ms/step - loss: 4.8643
16/16 [==============================] - 0s 2ms/step - loss: 4.8643
16/16 [==============================] - 0s 928us/step - loss: 4.8643
Testing for epoch 23 index 23:
391/391 [==============================] - 0s 903us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0052
16/16 [==============================] - 0s 1ms/step - loss: 4.5020
16/16 [==============================] - 0s 778us/step - loss: 4.5023
16/16 [==============================] - 0s 851us/step - loss: 4.8761
16/16 [==============================] - 0s 917us/step - loss: 4.8772
16/16 [==============================] - 0s 969us/step - loss: 4.8772
16/16 [==============================] - 0s 1ms/step - loss: 4.8772
16/16 [==============================] - 0s 935us/step - loss: 4.8772
16/16 [==============================] - 0s 4ms/step - loss: 4.8772
16/16 [==============================] - 0s 3ms/step - loss: 4.8772
Testing for epoch 23 index 24:
391/391 [==============================] - 0s 647us/step
16/16 [==============================] - 0s 955us/step - loss: 0.0041
16/16 [==============================] - 0s 2ms/step - loss: 4.5345
16/16 [==============================] - 0s 909us/step - loss: 4.5348
16/16 [==============================] - 0s 2ms/step - loss: 4.9093
16/16 [==============================] - 0s 867us/step - loss: 4.9104
16/16 [==============================] - 0s 2ms/step - loss: 4.9104
16/16 [==============================] - 0s 2ms/step - loss: 4.9104
16/16 [==============================] - 0s 2ms/step - loss: 4.9104
16/16 [==============================] - 0s 3ms/step - loss: 4.9104
16/16 [==============================] - 0s 1ms/step - loss: 4.9104
Epoch 24 of 60
Testing for epoch 24 index 1:
391/391 [==============================] - 0s 672us/step
16/16 [==============================] - 0s 927us/step - loss: 0.0042
16/16 [==============================] - 0s 916us/step - loss: 4.5175
16/16 [==============================] - 0s 913us/step - loss: 4.5178
16/16 [==============================] - 0s 900us/step - loss: 4.8923
16/16 [==============================] - 0s 892us/step - loss: 4.8934
16/16 [==============================] - 0s 925us/step - loss: 4.8934
16/16 [==============================] - 0s 879us/step - loss: 4.8934
16/16 [==============================] - 0s 876us/step - loss: 4.8934
16/16 [==============================] - 0s 881us/step - loss: 4.8934
16/16 [==============================] - 0s 879us/step - loss: 4.8934
Testing for epoch 24 index 2:
391/391 [==============================] - 0s 633us/step
16/16 [==============================] - 0s 902us/step - loss: 0.0049
16/16 [==============================] - 0s 904us/step - loss: 4.5500
16/16 [==============================] - 0s 916us/step - loss: 4.5503
16/16 [==============================] - 0s 944us/step - loss: 4.9224
16/16 [==============================] - 0s 910us/step - loss: 4.9234
16/16 [==============================] - 0s 918us/step - loss: 4.9234
16/16 [==============================] - 0s 2ms/step - loss: 4.9234
16/16 [==============================] - 0s 6ms/step - loss: 4.9234
16/16 [==============================] - 0s 2ms/step - loss: 4.9234
16/16 [==============================] - 0s 2ms/step - loss: 4.9234
Testing for epoch 24 index 3:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0046
16/16 [==============================] - 0s 5ms/step - loss: 4.5574
16/16 [==============================] - 0s 2ms/step - loss: 4.5577
16/16 [==============================] - 0s 2ms/step - loss: 4.9311
16/16 [==============================] - 0s 3ms/step - loss: 4.9322
16/16 [==============================] - 0s 2ms/step - loss: 4.9322
16/16 [==============================] - 0s 3ms/step - loss: 4.9322
16/16 [==============================] - 0s 2ms/step - loss: 4.9322
16/16 [==============================] - 0s 1ms/step - loss: 4.9322
16/16 [==============================] - 0s 994us/step - loss: 4.9322
Testing for epoch 24 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0041
16/16 [==============================] - 0s 5ms/step - loss: 4.5304
16/16 [==============================] - 0s 2ms/step - loss: 4.5307
16/16 [==============================] - 0s 2ms/step - loss: 4.9069
16/16 [==============================] - 0s 4ms/step - loss: 4.9079
16/16 [==============================] - 0s 2ms/step - loss: 4.9079
16/16 [==============================] - 0s 5ms/step - loss: 4.9079
16/16 [==============================] - 0s 4ms/step - loss: 4.9079
16/16 [==============================] - 0s 3ms/step - loss: 4.9079
16/16 [==============================] - 0s 2ms/step - loss: 4.9079
Testing for epoch 24 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 982us/step - loss: 0.0047
16/16 [==============================] - 0s 1ms/step - loss: 4.4956
16/16 [==============================] - 0s 796us/step - loss: 4.4959
16/16 [==============================] - 0s 758us/step - loss: 4.8745
16/16 [==============================] - 0s 754us/step - loss: 4.8756
16/16 [==============================] - 0s 768us/step - loss: 4.8756
16/16 [==============================] - 0s 726us/step - loss: 4.8756
16/16 [==============================] - 0s 842us/step - loss: 4.8756
16/16 [==============================] - 0s 4ms/step - loss: 4.8756
16/16 [==============================] - 0s 2ms/step - loss: 4.8756
Testing for epoch 24 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0053
16/16 [==============================] - 0s 1ms/step - loss: 4.5620
16/16 [==============================] - 0s 991us/step - loss: 4.5623
16/16 [==============================] - 0s 1ms/step - loss: 4.9368
16/16 [==============================] - 0s 2ms/step - loss: 4.9379
16/16 [==============================] - 0s 2ms/step - loss: 4.9379
16/16 [==============================] - 0s 1ms/step - loss: 4.9379
16/16 [==============================] - 0s 1ms/step - loss: 4.9379
16/16 [==============================] - 0s 2ms/step - loss: 4.9379
16/16 [==============================] - 0s 1ms/step - loss: 4.9379
Testing for epoch 24 index 7:
391/391 [==============================] - 0s 914us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0048
16/16 [==============================] - 0s 2ms/step - loss: 4.5452
16/16 [==============================] - 0s 2ms/step - loss: 4.5454
16/16 [==============================] - 0s 2ms/step - loss: 4.9175
16/16 [==============================] - 0s 3ms/step - loss: 4.9186
16/16 [==============================] - 0s 2ms/step - loss: 4.9186
16/16 [==============================] - 0s 1ms/step - loss: 4.9186
16/16 [==============================] - 0s 2ms/step - loss: 4.9186
16/16 [==============================] - 0s 2ms/step - loss: 4.9186
16/16 [==============================] - 0s 2ms/step - loss: 4.9186
Testing for epoch 24 index 8:
391/391 [==============================] - 0s 881us/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0044
16/16 [==============================] - 0s 2ms/step - loss: 4.5784
16/16 [==============================] - 0s 3ms/step - loss: 4.5786
16/16 [==============================] - 0s 3ms/step - loss: 4.9519
16/16 [==============================] - 0s 2ms/step - loss: 4.9530
16/16 [==============================] - 0s 3ms/step - loss: 4.9530
16/16 [==============================] - 0s 2ms/step - loss: 4.9530
16/16 [==============================] - 0s 2ms/step - loss: 4.9530
16/16 [==============================] - 0s 2ms/step - loss: 4.9530
16/16 [==============================] - 0s 2ms/step - loss: 4.9530
Testing for epoch 24 index 9:
391/391 [==============================] - 0s 954us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0041
16/16 [==============================] - 0s 2ms/step - loss: 4.5186
16/16 [==============================] - 0s 1ms/step - loss: 4.5188
16/16 [==============================] - 0s 1ms/step - loss: 4.8953
16/16 [==============================] - 0s 2ms/step - loss: 4.8963
16/16 [==============================] - 0s 3ms/step - loss: 4.8963
16/16 [==============================] - 0s 2ms/step - loss: 4.8963
16/16 [==============================] - 0s 2ms/step - loss: 4.8963
16/16 [==============================] - 0s 2ms/step - loss: 4.8963
16/16 [==============================] - 0s 4ms/step - loss: 4.8963
Testing for epoch 24 index 10:
391/391 [==============================] - 0s 903us/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0037
16/16 [==============================] - 0s 3ms/step - loss: 4.4716
16/16 [==============================] - 0s 2ms/step - loss: 4.4719
16/16 [==============================] - 0s 1ms/step - loss: 4.8556
16/16 [==============================] - 0s 2ms/step - loss: 4.8567
16/16 [==============================] - 0s 1ms/step - loss: 4.8567
16/16 [==============================] - 0s 1ms/step - loss: 4.8567
16/16 [==============================] - 0s 2ms/step - loss: 4.8567
16/16 [==============================] - 0s 3ms/step - loss: 4.8567
16/16 [==============================] - 0s 2ms/step - loss: 4.8567
Testing for epoch 24 index 11:
391/391 [==============================] - 0s 949us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0048
16/16 [==============================] - 0s 2ms/step - loss: 4.5166
16/16 [==============================] - 0s 3ms/step - loss: 4.5169
16/16 [==============================] - 0s 2ms/step - loss: 4.8974
16/16 [==============================] - 0s 1ms/step - loss: 4.8985
16/16 [==============================] - 0s 2ms/step - loss: 4.8985
16/16 [==============================] - 0s 2ms/step - loss: 4.8985
16/16 [==============================] - 0s 3ms/step - loss: 4.8985
16/16 [==============================] - 0s 2ms/step - loss: 4.8985
16/16 [==============================] - 0s 2ms/step - loss: 4.8985
Testing for epoch 24 index 12:
391/391 [==============================] - 0s 967us/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0044
16/16 [==============================] - 0s 3ms/step - loss: 4.5020
16/16 [==============================] - 0s 2ms/step - loss: 4.5023
16/16 [==============================] - 0s 2ms/step - loss: 4.8845
16/16 [==============================] - 0s 1ms/step - loss: 4.8856
16/16 [==============================] - 0s 2ms/step - loss: 4.8856
16/16 [==============================] - 0s 2ms/step - loss: 4.8856
16/16 [==============================] - 0s 1ms/step - loss: 4.8856
16/16 [==============================] - 0s 3ms/step - loss: 4.8856
16/16 [==============================] - 0s 2ms/step - loss: 4.8856
Testing for epoch 24 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0049
16/16 [==============================] - 0s 3ms/step - loss: 4.5226
16/16 [==============================] - 0s 2ms/step - loss: 4.5229
16/16 [==============================] - 0s 1ms/step - loss: 4.9059
16/16 [==============================] - 0s 2ms/step - loss: 4.9070
16/16 [==============================] - 0s 2ms/step - loss: 4.9070
16/16 [==============================] - 0s 2ms/step - loss: 4.9070
16/16 [==============================] - 0s 2ms/step - loss: 4.9070
16/16 [==============================] - 0s 2ms/step - loss: 4.9070
16/16 [==============================] - 0s 2ms/step - loss: 4.9070
Testing for epoch 24 index 14:
391/391 [==============================] - 0s 960us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0044
16/16 [==============================] - 0s 2ms/step - loss: 4.4661
16/16 [==============================] - 0s 1ms/step - loss: 4.4663
16/16 [==============================] - 0s 2ms/step - loss: 4.8525
16/16 [==============================] - 0s 2ms/step - loss: 4.8536
16/16 [==============================] - 0s 2ms/step - loss: 4.8536
16/16 [==============================] - 0s 1ms/step - loss: 4.8536
16/16 [==============================] - 0s 2ms/step - loss: 4.8536
16/16 [==============================] - 0s 2ms/step - loss: 4.8536
16/16 [==============================] - 0s 2ms/step - loss: 4.8536
Testing for epoch 24 index 15:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0054
16/16 [==============================] - 0s 1ms/step - loss: 4.5250
16/16 [==============================] - 0s 1ms/step - loss: 4.5253
16/16 [==============================] - 0s 2ms/step - loss: 4.9072
16/16 [==============================] - 0s 2ms/step - loss: 4.9083
16/16 [==============================] - 0s 2ms/step - loss: 4.9083
16/16 [==============================] - 0s 2ms/step - loss: 4.9083
16/16 [==============================] - 0s 1ms/step - loss: 4.9083
16/16 [==============================] - 0s 3ms/step - loss: 4.9083
16/16 [==============================] - 0s 3ms/step - loss: 4.9083
Testing for epoch 24 index 16:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0045
16/16 [==============================] - 0s 2ms/step - loss: 4.5276
16/16 [==============================] - 0s 3ms/step - loss: 4.5278
16/16 [==============================] - 0s 3ms/step - loss: 4.9098
16/16 [==============================] - 0s 2ms/step - loss: 4.9109
16/16 [==============================] - 0s 2ms/step - loss: 4.9109
16/16 [==============================] - 0s 2ms/step - loss: 4.9109
16/16 [==============================] - 0s 2ms/step - loss: 4.9109
16/16 [==============================] - 0s 3ms/step - loss: 4.9109
16/16 [==============================] - 0s 3ms/step - loss: 4.9109
Testing for epoch 24 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.0050
16/16 [==============================] - 0s 4ms/step - loss: 4.5145
16/16 [==============================] - 0s 2ms/step - loss: 4.5148
16/16 [==============================] - 0s 2ms/step - loss: 4.8985
16/16 [==============================] - 0s 4ms/step - loss: 4.8996
16/16 [==============================] - 0s 1ms/step - loss: 4.8996
16/16 [==============================] - 0s 2ms/step - loss: 4.8996
16/16 [==============================] - 0s 1ms/step - loss: 4.8996
16/16 [==============================] - 0s 2ms/step - loss: 4.8996
16/16 [==============================] - 0s 2ms/step - loss: 4.8996
Testing for epoch 24 index 18:
391/391 [==============================] - 0s 969us/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0042
16/16 [==============================] - 0s 3ms/step - loss: 4.5528
16/16 [==============================] - 0s 2ms/step - loss: 4.5531
16/16 [==============================] - 0s 2ms/step - loss: 4.9327
16/16 [==============================] - 0s 4ms/step - loss: 4.9338
16/16 [==============================] - 0s 3ms/step - loss: 4.9338
16/16 [==============================] - 0s 3ms/step - loss: 4.9338
16/16 [==============================] - 0s 3ms/step - loss: 4.9338
16/16 [==============================] - 0s 4ms/step - loss: 4.9338
16/16 [==============================] - 0s 2ms/step - loss: 4.9338
Testing for epoch 24 index 19:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0042
16/16 [==============================] - 0s 2ms/step - loss: 4.5499
16/16 [==============================] - 0s 4ms/step - loss: 4.5501
16/16 [==============================] - 0s 3ms/step - loss: 4.9307
16/16 [==============================] - 0s 1ms/step - loss: 4.9318
16/16 [==============================] - 0s 3ms/step - loss: 4.9318
16/16 [==============================] - 0s 4ms/step - loss: 4.9318
16/16 [==============================] - 0s 4ms/step - loss: 4.9318
16/16 [==============================] - 0s 4ms/step - loss: 4.9318
16/16 [==============================] - 0s 3ms/step - loss: 4.9318
Testing for epoch 24 index 20:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0043
16/16 [==============================] - 0s 2ms/step - loss: 4.5648
16/16 [==============================] - 0s 4ms/step - loss: 4.5651
16/16 [==============================] - 0s 4ms/step - loss: 4.9456
16/16 [==============================] - 0s 1ms/step - loss: 4.9467
16/16 [==============================] - 0s 4ms/step - loss: 4.9467
16/16 [==============================] - 0s 2ms/step - loss: 4.9467
16/16 [==============================] - 0s 1ms/step - loss: 4.9467
16/16 [==============================] - 0s 3ms/step - loss: 4.9467
16/16 [==============================] - 0s 2ms/step - loss: 4.9467
Testing for epoch 24 index 21:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0040
16/16 [==============================] - 0s 2ms/step - loss: 4.5633
16/16 [==============================] - 0s 2ms/step - loss: 4.5635
16/16 [==============================] - 0s 2ms/step - loss: 4.9406
16/16 [==============================] - 0s 3ms/step - loss: 4.9417
16/16 [==============================] - 0s 4ms/step - loss: 4.9417
16/16 [==============================] - 0s 1ms/step - loss: 4.9417
16/16 [==============================] - 0s 2ms/step - loss: 4.9417
16/16 [==============================] - 0s 4ms/step - loss: 4.9417
16/16 [==============================] - 0s 2ms/step - loss: 4.9417
Testing for epoch 24 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0042
16/16 [==============================] - 0s 3ms/step - loss: 4.6313
16/16 [==============================] - 0s 2ms/step - loss: 4.6316
16/16 [==============================] - 0s 1ms/step - loss: 5.0046
16/16 [==============================] - 0s 2ms/step - loss: 5.0056
16/16 [==============================] - 0s 2ms/step - loss: 5.0056
16/16 [==============================] - 0s 6ms/step - loss: 5.0056
16/16 [==============================] - 0s 3ms/step - loss: 5.0056
16/16 [==============================] - 0s 4ms/step - loss: 5.0056
16/16 [==============================] - 0s 3ms/step - loss: 5.0056
Testing for epoch 24 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0043
16/16 [==============================] - 0s 2ms/step - loss: 4.5702
16/16 [==============================] - 0s 4ms/step - loss: 4.5705
16/16 [==============================] - 0s 4ms/step - loss: 4.9485
16/16 [==============================] - 0s 5ms/step - loss: 4.9496
16/16 [==============================] - 0s 6ms/step - loss: 4.9496
16/16 [==============================] - 0s 2ms/step - loss: 4.9496
16/16 [==============================] - 0s 1ms/step - loss: 4.9496
16/16 [==============================] - 0s 2ms/step - loss: 4.9496
16/16 [==============================] - 0s 2ms/step - loss: 4.9496
Testing for epoch 24 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0046
16/16 [==============================] - 0s 4ms/step - loss: 4.6156
16/16 [==============================] - 0s 2ms/step - loss: 4.6158
16/16 [==============================] - 0s 3ms/step - loss: 4.9893
16/16 [==============================] - 0s 2ms/step - loss: 4.9903
16/16 [==============================] - 0s 2ms/step - loss: 4.9903
16/16 [==============================] - 0s 2ms/step - loss: 4.9903
16/16 [==============================] - 0s 3ms/step - loss: 4.9903
16/16 [==============================] - 0s 3ms/step - loss: 4.9903
16/16 [==============================] - 0s 2ms/step - loss: 4.9903
Epoch 25 of 60
Testing for epoch 25 index 1:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0046
16/16 [==============================] - 0s 2ms/step - loss: 4.5986
16/16 [==============================] - 0s 1ms/step - loss: 4.5989
16/16 [==============================] - 0s 2ms/step - loss: 4.9743
16/16 [==============================] - 0s 4ms/step - loss: 4.9754
16/16 [==============================] - 0s 2ms/step - loss: 4.9754
16/16 [==============================] - 0s 1ms/step - loss: 4.9754
16/16 [==============================] - 0s 2ms/step - loss: 4.9754
16/16 [==============================] - 0s 3ms/step - loss: 4.9754
16/16 [==============================] - 0s 2ms/step - loss: 4.9754
Testing for epoch 25 index 2:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0041
16/16 [==============================] - 0s 2ms/step - loss: 4.6342
16/16 [==============================] - 0s 3ms/step - loss: 4.6345
16/16 [==============================] - 0s 2ms/step - loss: 5.0044
16/16 [==============================] - 0s 2ms/step - loss: 5.0054
16/16 [==============================] - 0s 4ms/step - loss: 5.0054
16/16 [==============================] - 0s 2ms/step - loss: 5.0054
16/16 [==============================] - 0s 2ms/step - loss: 5.0054
16/16 [==============================] - 0s 2ms/step - loss: 5.0054
16/16 [==============================] - 0s 3ms/step - loss: 5.0054
Testing for epoch 25 index 3:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0041
16/16 [==============================] - 0s 3ms/step - loss: 4.5546
16/16 [==============================] - 0s 2ms/step - loss: 4.5548
16/16 [==============================] - 0s 2ms/step - loss: 4.9358
16/16 [==============================] - 0s 3ms/step - loss: 4.9369
16/16 [==============================] - 0s 3ms/step - loss: 4.9369
16/16 [==============================] - 0s 2ms/step - loss: 4.9369
16/16 [==============================] - 0s 4ms/step - loss: 4.9369
16/16 [==============================] - 0s 3ms/step - loss: 4.9369
16/16 [==============================] - 0s 2ms/step - loss: 4.9369
Testing for epoch 25 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0045
16/16 [==============================] - 0s 4ms/step - loss: 4.5968
16/16 [==============================] - 0s 2ms/step - loss: 4.5971
16/16 [==============================] - 0s 2ms/step - loss: 4.9745
16/16 [==============================] - 0s 2ms/step - loss: 4.9755
16/16 [==============================] - 0s 2ms/step - loss: 4.9755
16/16 [==============================] - 0s 3ms/step - loss: 4.9755
16/16 [==============================] - 0s 2ms/step - loss: 4.9755
16/16 [==============================] - 0s 2ms/step - loss: 4.9755
16/16 [==============================] - 0s 3ms/step - loss: 4.9755
Testing for epoch 25 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0046
16/16 [==============================] - 0s 2ms/step - loss: 4.6556
16/16 [==============================] - 0s 2ms/step - loss: 4.6558
16/16 [==============================] - 0s 2ms/step - loss: 5.0294
16/16 [==============================] - 0s 2ms/step - loss: 5.0305
16/16 [==============================] - 0s 3ms/step - loss: 5.0305
16/16 [==============================] - 0s 4ms/step - loss: 5.0305
16/16 [==============================] - 0s 2ms/step - loss: 5.0305
16/16 [==============================] - 0s 2ms/step - loss: 5.0305
16/16 [==============================] - 0s 2ms/step - loss: 5.0305
Testing for epoch 25 index 6:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0042
16/16 [==============================] - 0s 3ms/step - loss: 4.6253
16/16 [==============================] - 0s 1ms/step - loss: 4.6255
16/16 [==============================] - 0s 3ms/step - loss: 5.0007
16/16 [==============================] - 0s 2ms/step - loss: 5.0018
16/16 [==============================] - 0s 2ms/step - loss: 5.0018
16/16 [==============================] - 0s 4ms/step - loss: 5.0018
16/16 [==============================] - 0s 2ms/step - loss: 5.0018
16/16 [==============================] - 0s 2ms/step - loss: 5.0018
16/16 [==============================] - 0s 4ms/step - loss: 5.0018
Testing for epoch 25 index 7:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0040
16/16 [==============================] - 0s 3ms/step - loss: 4.6650
16/16 [==============================] - 0s 2ms/step - loss: 4.6652
16/16 [==============================] - 0s 3ms/step - loss: 5.0360
16/16 [==============================] - 0s 2ms/step - loss: 5.0371
16/16 [==============================] - 0s 2ms/step - loss: 5.0371
16/16 [==============================] - 0s 2ms/step - loss: 5.0371
16/16 [==============================] - 0s 2ms/step - loss: 5.0371
16/16 [==============================] - 0s 3ms/step - loss: 5.0371
16/16 [==============================] - 0s 2ms/step - loss: 5.0371
Testing for epoch 25 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0046
16/16 [==============================] - 0s 2ms/step - loss: 4.6731
16/16 [==============================] - 0s 2ms/step - loss: 4.6734
16/16 [==============================] - 0s 2ms/step - loss: 5.0440
16/16 [==============================] - 0s 4ms/step - loss: 5.0451
16/16 [==============================] - 0s 2ms/step - loss: 5.0451
16/16 [==============================] - 0s 2ms/step - loss: 5.0451
16/16 [==============================] - 0s 1ms/step - loss: 5.0451
16/16 [==============================] - 0s 1ms/step - loss: 5.0451
16/16 [==============================] - 0s 3ms/step - loss: 5.0451
Testing for epoch 25 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0039
16/16 [==============================] - 0s 2ms/step - loss: 4.6489
16/16 [==============================] - 0s 2ms/step - loss: 4.6492
16/16 [==============================] - 0s 3ms/step - loss: 5.0231
16/16 [==============================] - 0s 2ms/step - loss: 5.0242
16/16 [==============================] - 0s 2ms/step - loss: 5.0242
16/16 [==============================] - 0s 2ms/step - loss: 5.0242
16/16 [==============================] - 0s 3ms/step - loss: 5.0242
16/16 [==============================] - 0s 2ms/step - loss: 5.0242
16/16 [==============================] - 0s 2ms/step - loss: 5.0242
Testing for epoch 25 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0047
16/16 [==============================] - 0s 2ms/step - loss: 4.6536
16/16 [==============================] - 0s 2ms/step - loss: 4.6538
16/16 [==============================] - 0s 1ms/step - loss: 5.0274
16/16 [==============================] - 0s 2ms/step - loss: 5.0285
16/16 [==============================] - 0s 2ms/step - loss: 5.0285
16/16 [==============================] - 0s 4ms/step - loss: 5.0285
16/16 [==============================] - 0s 3ms/step - loss: 5.0285
16/16 [==============================] - 0s 2ms/step - loss: 5.0285
16/16 [==============================] - 0s 2ms/step - loss: 5.0285
Testing for epoch 25 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0042
16/16 [==============================] - 0s 1ms/step - loss: 4.6177
16/16 [==============================] - 0s 3ms/step - loss: 4.6180
16/16 [==============================] - 0s 2ms/step - loss: 4.9958
16/16 [==============================] - 0s 1ms/step - loss: 4.9969
16/16 [==============================] - 0s 3ms/step - loss: 4.9969
16/16 [==============================] - 0s 3ms/step - loss: 4.9969
16/16 [==============================] - 0s 3ms/step - loss: 4.9969
16/16 [==============================] - 0s 2ms/step - loss: 4.9969
16/16 [==============================] - 0s 2ms/step - loss: 4.9969
Testing for epoch 25 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0047
16/16 [==============================] - 0s 2ms/step - loss: 4.5564
16/16 [==============================] - 0s 2ms/step - loss: 4.5567
16/16 [==============================] - 0s 2ms/step - loss: 4.9399
16/16 [==============================] - 0s 2ms/step - loss: 4.9410
16/16 [==============================] - 0s 3ms/step - loss: 4.9410
16/16 [==============================] - 0s 2ms/step - loss: 4.9410
16/16 [==============================] - 0s 2ms/step - loss: 4.9410
16/16 [==============================] - 0s 5ms/step - loss: 4.9410
16/16 [==============================] - 0s 1ms/step - loss: 4.9410
Testing for epoch 25 index 13:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0054
16/16 [==============================] - 0s 4ms/step - loss: 4.5990
16/16 [==============================] - 0s 1ms/step - loss: 4.5992
16/16 [==============================] - 0s 2ms/step - loss: 4.9798
16/16 [==============================] - 0s 2ms/step - loss: 4.9809
16/16 [==============================] - 0s 2ms/step - loss: 4.9809
16/16 [==============================] - 0s 2ms/step - loss: 4.9809
16/16 [==============================] - 0s 2ms/step - loss: 4.9809
16/16 [==============================] - 0s 2ms/step - loss: 4.9809
16/16 [==============================] - 0s 2ms/step - loss: 4.9809
Testing for epoch 25 index 14:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.0040
16/16 [==============================] - 0s 3ms/step - loss: 4.5691
16/16 [==============================] - 0s 3ms/step - loss: 4.5694
16/16 [==============================] - 0s 1ms/step - loss: 4.9532
16/16 [==============================] - 0s 3ms/step - loss: 4.9543
16/16 [==============================] - 0s 2ms/step - loss: 4.9543
16/16 [==============================] - 0s 2ms/step - loss: 4.9543
16/16 [==============================] - 0s 2ms/step - loss: 4.9543
16/16 [==============================] - 0s 2ms/step - loss: 4.9543
16/16 [==============================] - 0s 1ms/step - loss: 4.9543
Testing for epoch 25 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0038
16/16 [==============================] - 0s 1ms/step - loss: 4.5771
16/16 [==============================] - 0s 2ms/step - loss: 4.5773
16/16 [==============================] - 0s 3ms/step - loss: 4.9612
16/16 [==============================] - 0s 6ms/step - loss: 4.9623
16/16 [==============================] - 0s 1ms/step - loss: 4.9623
16/16 [==============================] - 0s 4ms/step - loss: 4.9623
16/16 [==============================] - 0s 2ms/step - loss: 4.9623
16/16 [==============================] - 0s 4ms/step - loss: 4.9623
16/16 [==============================] - 0s 2ms/step - loss: 4.9623
Testing for epoch 25 index 16:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0043
16/16 [==============================] - 0s 2ms/step - loss: 4.6363
16/16 [==============================] - 0s 3ms/step - loss: 4.6366
16/16 [==============================] - 0s 2ms/step - loss: 5.0167
16/16 [==============================] - 0s 2ms/step - loss: 5.0178
16/16 [==============================] - 0s 4ms/step - loss: 5.0178
16/16 [==============================] - 0s 4ms/step - loss: 5.0178
16/16 [==============================] - 0s 3ms/step - loss: 5.0178
16/16 [==============================] - 0s 2ms/step - loss: 5.0178
16/16 [==============================] - 0s 2ms/step - loss: 5.0178
Testing for epoch 25 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0042
16/16 [==============================] - 0s 2ms/step - loss: 4.5898
16/16 [==============================] - 0s 4ms/step - loss: 4.5900
16/16 [==============================] - 0s 2ms/step - loss: 4.9764
16/16 [==============================] - 0s 2ms/step - loss: 4.9775
16/16 [==============================] - 0s 2ms/step - loss: 4.9775
16/16 [==============================] - 0s 2ms/step - loss: 4.9775
16/16 [==============================] - 0s 2ms/step - loss: 4.9775
16/16 [==============================] - 0s 2ms/step - loss: 4.9775
16/16 [==============================] - 0s 5ms/step - loss: 4.9775
Testing for epoch 25 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0052
16/16 [==============================] - 0s 2ms/step - loss: 4.6715
16/16 [==============================] - 0s 1ms/step - loss: 4.6718
16/16 [==============================] - 0s 4ms/step - loss: 5.0505
16/16 [==============================] - 0s 2ms/step - loss: 5.0516
16/16 [==============================] - 0s 1ms/step - loss: 5.0516
16/16 [==============================] - 0s 2ms/step - loss: 5.0516
16/16 [==============================] - 0s 2ms/step - loss: 5.0516
16/16 [==============================] - 0s 2ms/step - loss: 5.0516
16/16 [==============================] - 0s 2ms/step - loss: 5.0516
Testing for epoch 25 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0040
16/16 [==============================] - 0s 2ms/step - loss: 4.5936
16/16 [==============================] - 0s 3ms/step - loss: 4.5939
16/16 [==============================] - 0s 3ms/step - loss: 4.9759
16/16 [==============================] - 0s 2ms/step - loss: 4.9770
16/16 [==============================] - 0s 2ms/step - loss: 4.9770
16/16 [==============================] - 0s 2ms/step - loss: 4.9770
16/16 [==============================] - 0s 3ms/step - loss: 4.9770
16/16 [==============================] - 0s 3ms/step - loss: 4.9770
16/16 [==============================] - 0s 2ms/step - loss: 4.9770
Testing for epoch 25 index 20:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0037
16/16 [==============================] - 0s 2ms/step - loss: 4.6637
16/16 [==============================] - 0s 2ms/step - loss: 4.6639
16/16 [==============================] - 0s 1ms/step - loss: 5.0420
16/16 [==============================] - 0s 1ms/step - loss: 5.0431
16/16 [==============================] - 0s 3ms/step - loss: 5.0431
16/16 [==============================] - 0s 2ms/step - loss: 5.0431
16/16 [==============================] - 0s 2ms/step - loss: 5.0431
16/16 [==============================] - 0s 2ms/step - loss: 5.0431
16/16 [==============================] - 0s 3ms/step - loss: 5.0431
Testing for epoch 25 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0044
16/16 [==============================] - 0s 2ms/step - loss: 4.6343
16/16 [==============================] - 0s 2ms/step - loss: 4.6346
16/16 [==============================] - 0s 2ms/step - loss: 5.0134
16/16 [==============================] - 0s 2ms/step - loss: 5.0145
16/16 [==============================] - 0s 3ms/step - loss: 5.0145
16/16 [==============================] - 0s 5ms/step - loss: 5.0145
16/16 [==============================] - 0s 4ms/step - loss: 5.0145
16/16 [==============================] - 0s 2ms/step - loss: 5.0145
16/16 [==============================] - 0s 3ms/step - loss: 5.0145
Testing for epoch 25 index 22:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0041
16/16 [==============================] - 0s 5ms/step - loss: 4.6510
16/16 [==============================] - 0s 1ms/step - loss: 4.6513
16/16 [==============================] - 0s 2ms/step - loss: 5.0289
16/16 [==============================] - 0s 2ms/step - loss: 5.0300
16/16 [==============================] - 0s 2ms/step - loss: 5.0300
16/16 [==============================] - 0s 2ms/step - loss: 5.0300
16/16 [==============================] - 0s 2ms/step - loss: 5.0300
16/16 [==============================] - 0s 2ms/step - loss: 5.0300
16/16 [==============================] - 0s 3ms/step - loss: 5.0300
Testing for epoch 25 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0040
16/16 [==============================] - 0s 3ms/step - loss: 4.6468
16/16 [==============================] - 0s 2ms/step - loss: 4.6470
16/16 [==============================] - 0s 2ms/step - loss: 5.0261
16/16 [==============================] - 0s 2ms/step - loss: 5.0272
16/16 [==============================] - 0s 2ms/step - loss: 5.0272
16/16 [==============================] - 0s 4ms/step - loss: 5.0272
16/16 [==============================] - 0s 3ms/step - loss: 5.0272
16/16 [==============================] - 0s 2ms/step - loss: 5.0272
16/16 [==============================] - 0s 2ms/step - loss: 5.0272
Testing for epoch 25 index 24:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0038
16/16 [==============================] - 0s 3ms/step - loss: 4.6585
16/16 [==============================] - 0s 2ms/step - loss: 4.6588
16/16 [==============================] - 0s 3ms/step - loss: 5.0362
16/16 [==============================] - 0s 3ms/step - loss: 5.0373
16/16 [==============================] - 0s 3ms/step - loss: 5.0373
16/16 [==============================] - 0s 3ms/step - loss: 5.0373
16/16 [==============================] - 0s 2ms/step - loss: 5.0373
16/16 [==============================] - 0s 2ms/step - loss: 5.0373
16/16 [==============================] - 0s 2ms/step - loss: 5.0373
Epoch 26 of 60
Testing for epoch 26 index 1:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0040
16/16 [==============================] - 0s 3ms/step - loss: 4.6691
16/16 [==============================] - 0s 4ms/step - loss: 4.6694
16/16 [==============================] - 0s 1ms/step - loss: 5.0468
16/16 [==============================] - 0s 3ms/step - loss: 5.0479
16/16 [==============================] - 0s 2ms/step - loss: 5.0479
16/16 [==============================] - 0s 2ms/step - loss: 5.0479
16/16 [==============================] - 0s 2ms/step - loss: 5.0479
16/16 [==============================] - 0s 2ms/step - loss: 5.0479
16/16 [==============================] - 0s 4ms/step - loss: 5.0479
Testing for epoch 26 index 2:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0037
16/16 [==============================] - 0s 2ms/step - loss: 4.7218
16/16 [==============================] - 0s 2ms/step - loss: 4.7221
16/16 [==============================] - 0s 3ms/step - loss: 5.0958
16/16 [==============================] - 0s 4ms/step - loss: 5.0969
16/16 [==============================] - 0s 1ms/step - loss: 5.0969
16/16 [==============================] - 0s 2ms/step - loss: 5.0969
16/16 [==============================] - 0s 2ms/step - loss: 5.0969
16/16 [==============================] - 0s 2ms/step - loss: 5.0969
16/16 [==============================] - 0s 3ms/step - loss: 5.0969
Testing for epoch 26 index 3:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0040
16/16 [==============================] - 0s 2ms/step - loss: 4.7019
16/16 [==============================] - 0s 2ms/step - loss: 4.7021
16/16 [==============================] - 0s 2ms/step - loss: 5.0772
16/16 [==============================] - 0s 2ms/step - loss: 5.0783
16/16 [==============================] - 0s 3ms/step - loss: 5.0783
16/16 [==============================] - 0s 3ms/step - loss: 5.0783
16/16 [==============================] - 0s 2ms/step - loss: 5.0783
16/16 [==============================] - 0s 2ms/step - loss: 5.0783
16/16 [==============================] - 0s 3ms/step - loss: 5.0783
Testing for epoch 26 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0044
16/16 [==============================] - 0s 2ms/step - loss: 4.7218
16/16 [==============================] - 0s 3ms/step - loss: 4.7220
16/16 [==============================] - 0s 1ms/step - loss: 5.0965
16/16 [==============================] - 0s 2ms/step - loss: 5.0976
16/16 [==============================] - 0s 4ms/step - loss: 5.0976
16/16 [==============================] - 0s 2ms/step - loss: 5.0976
16/16 [==============================] - 0s 2ms/step - loss: 5.0976
16/16 [==============================] - 0s 4ms/step - loss: 5.0976
16/16 [==============================] - 0s 3ms/step - loss: 5.0976
Testing for epoch 26 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0045
16/16 [==============================] - 0s 3ms/step - loss: 4.6918
16/16 [==============================] - 0s 4ms/step - loss: 4.6921
16/16 [==============================] - 0s 3ms/step - loss: 5.0687
16/16 [==============================] - 0s 1ms/step - loss: 5.0698
16/16 [==============================] - 0s 3ms/step - loss: 5.0698
16/16 [==============================] - 0s 2ms/step - loss: 5.0698
16/16 [==============================] - 0s 2ms/step - loss: 5.0698
16/16 [==============================] - 0s 2ms/step - loss: 5.0698
16/16 [==============================] - 0s 3ms/step - loss: 5.0698
Testing for epoch 26 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0042
16/16 [==============================] - 0s 2ms/step - loss: 4.6579
16/16 [==============================] - 0s 3ms/step - loss: 4.6582
16/16 [==============================] - 0s 2ms/step - loss: 5.0385
16/16 [==============================] - 0s 4ms/step - loss: 5.0396
16/16 [==============================] - 0s 3ms/step - loss: 5.0396
16/16 [==============================] - 0s 2ms/step - loss: 5.0396
16/16 [==============================] - 0s 3ms/step - loss: 5.0396
16/16 [==============================] - 0s 3ms/step - loss: 5.0396
16/16 [==============================] - 0s 2ms/step - loss: 5.0396
Testing for epoch 26 index 7:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0039
16/16 [==============================] - 0s 2ms/step - loss: 4.7216
16/16 [==============================] - 0s 2ms/step - loss: 4.7219
16/16 [==============================] - 0s 4ms/step - loss: 5.0961
16/16 [==============================] - 0s 2ms/step - loss: 5.0972
16/16 [==============================] - 0s 4ms/step - loss: 5.0972
16/16 [==============================] - 0s 2ms/step - loss: 5.0972
16/16 [==============================] - 0s 4ms/step - loss: 5.0972
16/16 [==============================] - 0s 2ms/step - loss: 5.0972
16/16 [==============================] - 0s 2ms/step - loss: 5.0972
Testing for epoch 26 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0041
16/16 [==============================] - 0s 2ms/step - loss: 4.7682
16/16 [==============================] - 0s 2ms/step - loss: 4.7685
16/16 [==============================] - 0s 2ms/step - loss: 5.1377
16/16 [==============================] - 0s 2ms/step - loss: 5.1387
16/16 [==============================] - 0s 2ms/step - loss: 5.1387
16/16 [==============================] - 0s 2ms/step - loss: 5.1387
16/16 [==============================] - 0s 2ms/step - loss: 5.1387
16/16 [==============================] - 0s 2ms/step - loss: 5.1387
16/16 [==============================] - 0s 3ms/step - loss: 5.1387
Testing for epoch 26 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0042
16/16 [==============================] - 0s 2ms/step - loss: 4.7503
16/16 [==============================] - 0s 2ms/step - loss: 4.7506
16/16 [==============================] - 0s 2ms/step - loss: 5.1235
16/16 [==============================] - 0s 2ms/step - loss: 5.1245
16/16 [==============================] - 0s 3ms/step - loss: 5.1245
16/16 [==============================] - 0s 2ms/step - loss: 5.1245
16/16 [==============================] - 0s 2ms/step - loss: 5.1245
16/16 [==============================] - 0s 2ms/step - loss: 5.1245
16/16 [==============================] - 0s 3ms/step - loss: 5.1245
Testing for epoch 26 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0046
16/16 [==============================] - 0s 3ms/step - loss: 4.7142
16/16 [==============================] - 0s 4ms/step - loss: 4.7145
16/16 [==============================] - 0s 2ms/step - loss: 5.0894
16/16 [==============================] - 0s 2ms/step - loss: 5.0905
16/16 [==============================] - 0s 3ms/step - loss: 5.0905
16/16 [==============================] - 0s 2ms/step - loss: 5.0905
16/16 [==============================] - 0s 2ms/step - loss: 5.0905
16/16 [==============================] - 0s 2ms/step - loss: 5.0905
16/16 [==============================] - 0s 2ms/step - loss: 5.0905
Testing for epoch 26 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0045
16/16 [==============================] - 0s 2ms/step - loss: 4.6726
16/16 [==============================] - 0s 3ms/step - loss: 4.6729
16/16 [==============================] - 0s 3ms/step - loss: 5.0553
16/16 [==============================] - 0s 2ms/step - loss: 5.0564
16/16 [==============================] - 0s 2ms/step - loss: 5.0564
16/16 [==============================] - 0s 2ms/step - loss: 5.0564
16/16 [==============================] - 0s 2ms/step - loss: 5.0564
16/16 [==============================] - 0s 2ms/step - loss: 5.0564
16/16 [==============================] - 0s 2ms/step - loss: 5.0564
Testing for epoch 26 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0042
16/16 [==============================] - 0s 3ms/step - loss: 4.6940
16/16 [==============================] - 0s 2ms/step - loss: 4.6943
16/16 [==============================] - 0s 5ms/step - loss: 5.0759
16/16 [==============================] - 0s 2ms/step - loss: 5.0770
16/16 [==============================] - 0s 1ms/step - loss: 5.0770
16/16 [==============================] - 0s 2ms/step - loss: 5.0770
16/16 [==============================] - 0s 2ms/step - loss: 5.0770
16/16 [==============================] - 0s 1ms/step - loss: 5.0770
16/16 [==============================] - 0s 2ms/step - loss: 5.0770
Testing for epoch 26 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0040
16/16 [==============================] - 0s 1ms/step - loss: 4.6016
16/16 [==============================] - 0s 4ms/step - loss: 4.6019
16/16 [==============================] - 0s 2ms/step - loss: 4.9925
16/16 [==============================] - 0s 2ms/step - loss: 4.9937
16/16 [==============================] - 0s 2ms/step - loss: 4.9937
16/16 [==============================] - 0s 2ms/step - loss: 4.9937
16/16 [==============================] - 0s 2ms/step - loss: 4.9937
16/16 [==============================] - 0s 2ms/step - loss: 4.9937
16/16 [==============================] - 0s 2ms/step - loss: 4.9937
Testing for epoch 26 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0043
16/16 [==============================] - 0s 2ms/step - loss: 4.7050
16/16 [==============================] - 0s 2ms/step - loss: 4.7053
16/16 [==============================] - 0s 1ms/step - loss: 5.0868
16/16 [==============================] - 0s 2ms/step - loss: 5.0879
16/16 [==============================] - 0s 2ms/step - loss: 5.0879
16/16 [==============================] - 0s 1ms/step - loss: 5.0879
16/16 [==============================] - 0s 2ms/step - loss: 5.0879
16/16 [==============================] - 0s 2ms/step - loss: 5.0879
16/16 [==============================] - 0s 2ms/step - loss: 5.0879
Testing for epoch 26 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0039
16/16 [==============================] - 0s 1ms/step - loss: 4.5845
16/16 [==============================] - 0s 2ms/step - loss: 4.5848
16/16 [==============================] - 0s 2ms/step - loss: 4.9755
16/16 [==============================] - 0s 1ms/step - loss: 4.9766
16/16 [==============================] - 0s 3ms/step - loss: 4.9766
16/16 [==============================] - 0s 2ms/step - loss: 4.9766
16/16 [==============================] - 0s 1ms/step - loss: 4.9766
16/16 [==============================] - 0s 2ms/step - loss: 4.9766
16/16 [==============================] - 0s 1ms/step - loss: 4.9766
Testing for epoch 26 index 16:
391/391 [==============================] - 0s 870us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0045
16/16 [==============================] - 0s 3ms/step - loss: 4.6562
16/16 [==============================] - 0s 2ms/step - loss: 4.6565
16/16 [==============================] - 0s 2ms/step - loss: 5.0419
16/16 [==============================] - 0s 1ms/step - loss: 5.0430
16/16 [==============================] - 0s 2ms/step - loss: 5.0430
16/16 [==============================] - 0s 2ms/step - loss: 5.0430
16/16 [==============================] - 0s 1ms/step - loss: 5.0430
16/16 [==============================] - 0s 1ms/step - loss: 5.0430
16/16 [==============================] - 0s 1ms/step - loss: 5.0430
Testing for epoch 26 index 17:
391/391 [==============================] - 0s 995us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0040
16/16 [==============================] - 0s 1ms/step - loss: 4.6432
16/16 [==============================] - 0s 1ms/step - loss: 4.6435
16/16 [==============================] - 0s 4ms/step - loss: 5.0313
16/16 [==============================] - 0s 1ms/step - loss: 5.0325
16/16 [==============================] - 0s 2ms/step - loss: 5.0325
16/16 [==============================] - 0s 2ms/step - loss: 5.0325
16/16 [==============================] - 0s 2ms/step - loss: 5.0325
16/16 [==============================] - 0s 2ms/step - loss: 5.0325
16/16 [==============================] - 0s 2ms/step - loss: 5.0325
Testing for epoch 26 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0041
16/16 [==============================] - 0s 1ms/step - loss: 4.6592
16/16 [==============================] - 0s 3ms/step - loss: 4.6595
16/16 [==============================] - 0s 2ms/step - loss: 5.0458
16/16 [==============================] - 0s 3ms/step - loss: 5.0469
16/16 [==============================] - 0s 2ms/step - loss: 5.0469
16/16 [==============================] - 0s 1ms/step - loss: 5.0469
16/16 [==============================] - 0s 1ms/step - loss: 5.0469
16/16 [==============================] - 0s 2ms/step - loss: 5.0469
16/16 [==============================] - 0s 2ms/step - loss: 5.0469
Testing for epoch 26 index 19:
391/391 [==============================] - 0s 958us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0045
16/16 [==============================] - 0s 2ms/step - loss: 4.6840
16/16 [==============================] - 0s 3ms/step - loss: 4.6842
16/16 [==============================] - 0s 1ms/step - loss: 5.0688
16/16 [==============================] - 0s 1ms/step - loss: 5.0699
16/16 [==============================] - 0s 2ms/step - loss: 5.0699
16/16 [==============================] - 0s 2ms/step - loss: 5.0699
16/16 [==============================] - 0s 2ms/step - loss: 5.0699
16/16 [==============================] - 0s 3ms/step - loss: 5.0699
16/16 [==============================] - 0s 2ms/step - loss: 5.0699
Testing for epoch 26 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0041
16/16 [==============================] - 0s 2ms/step - loss: 4.6582
16/16 [==============================] - 0s 2ms/step - loss: 4.6584
16/16 [==============================] - 0s 2ms/step - loss: 5.0441
16/16 [==============================] - 0s 2ms/step - loss: 5.0452
16/16 [==============================] - 0s 3ms/step - loss: 5.0452
16/16 [==============================] - 0s 1ms/step - loss: 5.0452
16/16 [==============================] - 0s 2ms/step - loss: 5.0452
16/16 [==============================] - 0s 2ms/step - loss: 5.0452
16/16 [==============================] - 0s 2ms/step - loss: 5.0452
Testing for epoch 26 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0037
16/16 [==============================] - 0s 2ms/step - loss: 4.7166
16/16 [==============================] - 0s 2ms/step - loss: 4.7169
16/16 [==============================] - 0s 2ms/step - loss: 5.0947
16/16 [==============================] - 0s 2ms/step - loss: 5.0958
16/16 [==============================] - 0s 2ms/step - loss: 5.0958
16/16 [==============================] - 0s 2ms/step - loss: 5.0958
16/16 [==============================] - 0s 2ms/step - loss: 5.0958
16/16 [==============================] - 0s 2ms/step - loss: 5.0958
16/16 [==============================] - 0s 2ms/step - loss: 5.0958
Testing for epoch 26 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0036
16/16 [==============================] - 0s 2ms/step - loss: 4.7097
16/16 [==============================] - 0s 1ms/step - loss: 4.7099
16/16 [==============================] - 0s 2ms/step - loss: 5.0892
16/16 [==============================] - 0s 2ms/step - loss: 5.0903
16/16 [==============================] - 0s 3ms/step - loss: 5.0903
16/16 [==============================] - 0s 2ms/step - loss: 5.0903
16/16 [==============================] - 0s 1ms/step - loss: 5.0903
16/16 [==============================] - 0s 2ms/step - loss: 5.0903
16/16 [==============================] - 0s 3ms/step - loss: 5.0903
Testing for epoch 26 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0042
16/16 [==============================] - 0s 1ms/step - loss: 4.7441
16/16 [==============================] - 0s 3ms/step - loss: 4.7444
16/16 [==============================] - 0s 1ms/step - loss: 5.1225
16/16 [==============================] - 0s 2ms/step - loss: 5.1236
16/16 [==============================] - 0s 1ms/step - loss: 5.1236
16/16 [==============================] - 0s 1ms/step - loss: 5.1236
16/16 [==============================] - 0s 3ms/step - loss: 5.1236
16/16 [==============================] - 0s 2ms/step - loss: 5.1236
16/16 [==============================] - 0s 4ms/step - loss: 5.1236
Testing for epoch 26 index 24:
391/391 [==============================] - 0s 961us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0042
16/16 [==============================] - 0s 2ms/step - loss: 4.6765
16/16 [==============================] - 0s 2ms/step - loss: 4.6768
16/16 [==============================] - 0s 2ms/step - loss: 5.0600
16/16 [==============================] - 0s 2ms/step - loss: 5.0611
16/16 [==============================] - 0s 1ms/step - loss: 5.0611
16/16 [==============================] - 0s 1ms/step - loss: 5.0611
16/16 [==============================] - 0s 1ms/step - loss: 5.0611
16/16 [==============================] - 0s 1ms/step - loss: 5.0611
16/16 [==============================] - 0s 2ms/step - loss: 5.0611
Epoch 27 of 60
Testing for epoch 27 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0040
16/16 [==============================] - 0s 1ms/step - loss: 4.7939
16/16 [==============================] - 0s 1ms/step - loss: 4.7942
16/16 [==============================] - 0s 2ms/step - loss: 5.1696
16/16 [==============================] - 0s 1ms/step - loss: 5.1707
16/16 [==============================] - 0s 2ms/step - loss: 5.1707
16/16 [==============================] - 0s 2ms/step - loss: 5.1707
16/16 [==============================] - 0s 2ms/step - loss: 5.1707
16/16 [==============================] - 0s 1ms/step - loss: 5.1707
16/16 [==============================] - 0s 2ms/step - loss: 5.1707
Testing for epoch 27 index 2:
391/391 [==============================] - 0s 971us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0041
16/16 [==============================] - 0s 1ms/step - loss: 4.7837
16/16 [==============================] - 0s 1ms/step - loss: 4.7840
16/16 [==============================] - 0s 1ms/step - loss: 5.1585
16/16 [==============================] - 0s 1ms/step - loss: 5.1595
16/16 [==============================] - 0s 2ms/step - loss: 5.1595
16/16 [==============================] - 0s 3ms/step - loss: 5.1595
16/16 [==============================] - 0s 2ms/step - loss: 5.1595
16/16 [==============================] - 0s 3ms/step - loss: 5.1595
16/16 [==============================] - 0s 1ms/step - loss: 5.1595
Testing for epoch 27 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0036
16/16 [==============================] - 0s 2ms/step - loss: 4.7597
16/16 [==============================] - 0s 2ms/step - loss: 4.7600
16/16 [==============================] - 0s 2ms/step - loss: 5.1369
16/16 [==============================] - 0s 2ms/step - loss: 5.1380
16/16 [==============================] - 0s 2ms/step - loss: 5.1380
16/16 [==============================] - 0s 2ms/step - loss: 5.1380
16/16 [==============================] - 0s 2ms/step - loss: 5.1380
16/16 [==============================] - 0s 2ms/step - loss: 5.1380
16/16 [==============================] - 0s 2ms/step - loss: 5.1380
Testing for epoch 27 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0041
16/16 [==============================] - 0s 1ms/step - loss: 4.7954
16/16 [==============================] - 0s 1ms/step - loss: 4.7957
16/16 [==============================] - 0s 1ms/step - loss: 5.1705
16/16 [==============================] - 0s 3ms/step - loss: 5.1716
16/16 [==============================] - 0s 1ms/step - loss: 5.1716
16/16 [==============================] - 0s 2ms/step - loss: 5.1716
16/16 [==============================] - 0s 3ms/step - loss: 5.1716
16/16 [==============================] - 0s 1ms/step - loss: 5.1716
16/16 [==============================] - 0s 1ms/step - loss: 5.1716
Testing for epoch 27 index 5:
391/391 [==============================] - 0s 919us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0035
16/16 [==============================] - 0s 2ms/step - loss: 4.7403
16/16 [==============================] - 0s 1ms/step - loss: 4.7406
16/16 [==============================] - 0s 2ms/step - loss: 5.1187
16/16 [==============================] - 0s 2ms/step - loss: 5.1198
16/16 [==============================] - 0s 2ms/step - loss: 5.1198
16/16 [==============================] - 0s 2ms/step - loss: 5.1198
16/16 [==============================] - 0s 3ms/step - loss: 5.1198
16/16 [==============================] - 0s 3ms/step - loss: 5.1198
16/16 [==============================] - 0s 2ms/step - loss: 5.1198
Testing for epoch 27 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0040
16/16 [==============================] - 0s 1ms/step - loss: 4.7506
16/16 [==============================] - 0s 3ms/step - loss: 4.7508
16/16 [==============================] - 0s 2ms/step - loss: 5.1292
16/16 [==============================] - 0s 2ms/step - loss: 5.1303
16/16 [==============================] - 0s 2ms/step - loss: 5.1303
16/16 [==============================] - 0s 1ms/step - loss: 5.1303
16/16 [==============================] - 0s 2ms/step - loss: 5.1303
16/16 [==============================] - 0s 2ms/step - loss: 5.1303
16/16 [==============================] - 0s 2ms/step - loss: 5.1303
Testing for epoch 27 index 7:
391/391 [==============================] - 0s 995us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0044
16/16 [==============================] - 0s 1ms/step - loss: 4.8474
16/16 [==============================] - 0s 1ms/step - loss: 4.8477
16/16 [==============================] - 0s 2ms/step - loss: 5.2182
16/16 [==============================] - 0s 1ms/step - loss: 5.2193
16/16 [==============================] - 0s 1ms/step - loss: 5.2193
16/16 [==============================] - 0s 2ms/step - loss: 5.2193
16/16 [==============================] - 0s 2ms/step - loss: 5.2193
16/16 [==============================] - 0s 1ms/step - loss: 5.2193
16/16 [==============================] - 0s 1ms/step - loss: 5.2193
Testing for epoch 27 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0037
16/16 [==============================] - 0s 2ms/step - loss: 4.7643
16/16 [==============================] - 0s 2ms/step - loss: 4.7645
16/16 [==============================] - 0s 3ms/step - loss: 5.1389
16/16 [==============================] - 0s 3ms/step - loss: 5.1400
16/16 [==============================] - 0s 2ms/step - loss: 5.1400
16/16 [==============================] - 0s 2ms/step - loss: 5.1400
16/16 [==============================] - 0s 2ms/step - loss: 5.1400
16/16 [==============================] - 0s 3ms/step - loss: 5.1400
16/16 [==============================] - 0s 1ms/step - loss: 5.1400
Testing for epoch 27 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0040
16/16 [==============================] - 0s 3ms/step - loss: 4.8146
16/16 [==============================] - 0s 2ms/step - loss: 4.8149
16/16 [==============================] - 0s 2ms/step - loss: 5.1850
16/16 [==============================] - 0s 4ms/step - loss: 5.1861
16/16 [==============================] - 0s 2ms/step - loss: 5.1861
16/16 [==============================] - 0s 2ms/step - loss: 5.1861
16/16 [==============================] - 0s 2ms/step - loss: 5.1861
16/16 [==============================] - 0s 2ms/step - loss: 5.1861
16/16 [==============================] - 0s 3ms/step - loss: 5.1861
Testing for epoch 27 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0038
16/16 [==============================] - 0s 2ms/step - loss: 4.8055
16/16 [==============================] - 0s 2ms/step - loss: 4.8058
16/16 [==============================] - 0s 3ms/step - loss: 5.1807
16/16 [==============================] - 0s 1ms/step - loss: 5.1818
16/16 [==============================] - 0s 2ms/step - loss: 5.1818
16/16 [==============================] - 0s 2ms/step - loss: 5.1818
16/16 [==============================] - 0s 2ms/step - loss: 5.1818
16/16 [==============================] - 0s 2ms/step - loss: 5.1818
16/16 [==============================] - 0s 2ms/step - loss: 5.1818
Testing for epoch 27 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0043
16/16 [==============================] - 0s 3ms/step - loss: 4.7670
16/16 [==============================] - 0s 1ms/step - loss: 4.7673
16/16 [==============================] - 0s 2ms/step - loss: 5.1448
16/16 [==============================] - 0s 2ms/step - loss: 5.1459
16/16 [==============================] - 0s 2ms/step - loss: 5.1459
16/16 [==============================] - 0s 2ms/step - loss: 5.1459
16/16 [==============================] - 0s 1ms/step - loss: 5.1459
16/16 [==============================] - 0s 2ms/step - loss: 5.1459
16/16 [==============================] - 0s 2ms/step - loss: 5.1459
Testing for epoch 27 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0042
16/16 [==============================] - 0s 2ms/step - loss: 4.7561
16/16 [==============================] - 0s 1ms/step - loss: 4.7563
16/16 [==============================] - 0s 2ms/step - loss: 5.1377
16/16 [==============================] - 0s 1ms/step - loss: 5.1388
16/16 [==============================] - 0s 2ms/step - loss: 5.1388
16/16 [==============================] - 0s 1ms/step - loss: 5.1388
16/16 [==============================] - 0s 1ms/step - loss: 5.1388
16/16 [==============================] - 0s 2ms/step - loss: 5.1388
16/16 [==============================] - 0s 3ms/step - loss: 5.1388
Testing for epoch 27 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0037
16/16 [==============================] - 0s 2ms/step - loss: 4.7256
16/16 [==============================] - 0s 3ms/step - loss: 4.7259
16/16 [==============================] - 0s 2ms/step - loss: 5.1121
16/16 [==============================] - 0s 1ms/step - loss: 5.1132
16/16 [==============================] - 0s 1ms/step - loss: 5.1132
16/16 [==============================] - 0s 2ms/step - loss: 5.1132
16/16 [==============================] - 0s 1ms/step - loss: 5.1132
16/16 [==============================] - 0s 1ms/step - loss: 5.1132
16/16 [==============================] - 0s 1ms/step - loss: 5.1132
Testing for epoch 27 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0045
16/16 [==============================] - 0s 1ms/step - loss: 4.7529
16/16 [==============================] - 0s 2ms/step - loss: 4.7532
16/16 [==============================] - 0s 2ms/step - loss: 5.1387
16/16 [==============================] - 0s 1ms/step - loss: 5.1398
16/16 [==============================] - 0s 2ms/step - loss: 5.1398
16/16 [==============================] - 0s 1ms/step - loss: 5.1398
16/16 [==============================] - 0s 3ms/step - loss: 5.1398
16/16 [==============================] - 0s 1ms/step - loss: 5.1398
16/16 [==============================] - 0s 2ms/step - loss: 5.1398
Testing for epoch 27 index 15:
391/391 [==============================] - 0s 884us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0046
16/16 [==============================] - 0s 3ms/step - loss: 4.8032
16/16 [==============================] - 0s 2ms/step - loss: 4.8035
16/16 [==============================] - 0s 1ms/step - loss: 5.1820
16/16 [==============================] - 0s 1ms/step - loss: 5.1831
16/16 [==============================] - 0s 2ms/step - loss: 5.1831
16/16 [==============================] - 0s 3ms/step - loss: 5.1831
16/16 [==============================] - 0s 2ms/step - loss: 5.1831
16/16 [==============================] - 0s 2ms/step - loss: 5.1831
16/16 [==============================] - 0s 3ms/step - loss: 5.1831
Testing for epoch 27 index 16:
391/391 [==============================] - 0s 991us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0040
16/16 [==============================] - 0s 2ms/step - loss: 4.7280
16/16 [==============================] - 0s 1ms/step - loss: 4.7282
16/16 [==============================] - 0s 3ms/step - loss: 5.1128
16/16 [==============================] - 0s 1ms/step - loss: 5.1139
16/16 [==============================] - 0s 2ms/step - loss: 5.1139
16/16 [==============================] - 0s 1ms/step - loss: 5.1139
16/16 [==============================] - 0s 2ms/step - loss: 5.1139
16/16 [==============================] - 0s 2ms/step - loss: 5.1139
16/16 [==============================] - 0s 2ms/step - loss: 5.1139
Testing for epoch 27 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0047
16/16 [==============================] - 0s 1ms/step - loss: 4.7865
16/16 [==============================] - 0s 3ms/step - loss: 4.7867
16/16 [==============================] - 0s 3ms/step - loss: 5.1673
16/16 [==============================] - 0s 3ms/step - loss: 5.1684
16/16 [==============================] - 0s 1ms/step - loss: 5.1684
16/16 [==============================] - 0s 2ms/step - loss: 5.1684
16/16 [==============================] - 0s 2ms/step - loss: 5.1684
16/16 [==============================] - 0s 2ms/step - loss: 5.1684
16/16 [==============================] - 0s 2ms/step - loss: 5.1684
Testing for epoch 27 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0038
16/16 [==============================] - 0s 1ms/step - loss: 4.7361
16/16 [==============================] - 0s 1ms/step - loss: 4.7364
16/16 [==============================] - 0s 5ms/step - loss: 5.1233
16/16 [==============================] - 0s 2ms/step - loss: 5.1244
16/16 [==============================] - 0s 2ms/step - loss: 5.1244
16/16 [==============================] - 0s 1ms/step - loss: 5.1244
16/16 [==============================] - 0s 2ms/step - loss: 5.1244
16/16 [==============================] - 0s 3ms/step - loss: 5.1244
16/16 [==============================] - 0s 2ms/step - loss: 5.1244
Testing for epoch 27 index 19:
391/391 [==============================] - 0s 898us/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0045
16/16 [==============================] - 0s 1ms/step - loss: 4.7381
16/16 [==============================] - 0s 2ms/step - loss: 4.7384
16/16 [==============================] - 0s 2ms/step - loss: 5.1245
16/16 [==============================] - 0s 2ms/step - loss: 5.1256
16/16 [==============================] - 0s 2ms/step - loss: 5.1256
16/16 [==============================] - 0s 1ms/step - loss: 5.1256
16/16 [==============================] - 0s 3ms/step - loss: 5.1256
16/16 [==============================] - 0s 1ms/step - loss: 5.1256
16/16 [==============================] - 0s 2ms/step - loss: 5.1256
Testing for epoch 27 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0038
16/16 [==============================] - 0s 2ms/step - loss: 4.7522
16/16 [==============================] - 0s 2ms/step - loss: 4.7525
16/16 [==============================] - 0s 2ms/step - loss: 5.1390
16/16 [==============================] - 0s 2ms/step - loss: 5.1401
16/16 [==============================] - 0s 3ms/step - loss: 5.1401
16/16 [==============================] - 0s 2ms/step - loss: 5.1401
16/16 [==============================] - 0s 4ms/step - loss: 5.1401
16/16 [==============================] - 0s 2ms/step - loss: 5.1401
16/16 [==============================] - 0s 4ms/step - loss: 5.1401
Testing for epoch 27 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0038
16/16 [==============================] - 0s 3ms/step - loss: 4.7685
16/16 [==============================] - 0s 2ms/step - loss: 4.7688
16/16 [==============================] - 0s 3ms/step - loss: 5.1497
16/16 [==============================] - 0s 2ms/step - loss: 5.1508
16/16 [==============================] - 0s 2ms/step - loss: 5.1508
16/16 [==============================] - 0s 2ms/step - loss: 5.1508
16/16 [==============================] - 0s 2ms/step - loss: 5.1508
16/16 [==============================] - 0s 1ms/step - loss: 5.1508
16/16 [==============================] - 0s 2ms/step - loss: 5.1508
Testing for epoch 27 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0035
16/16 [==============================] - 0s 2ms/step - loss: 4.7937
16/16 [==============================] - 0s 3ms/step - loss: 4.7940
16/16 [==============================] - 0s 1ms/step - loss: 5.1733
16/16 [==============================] - 0s 2ms/step - loss: 5.1744
16/16 [==============================] - 0s 4ms/step - loss: 5.1744
16/16 [==============================] - 0s 2ms/step - loss: 5.1744
16/16 [==============================] - 0s 2ms/step - loss: 5.1744
16/16 [==============================] - 0s 2ms/step - loss: 5.1744
16/16 [==============================] - 0s 2ms/step - loss: 5.1744
Testing for epoch 27 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0044
16/16 [==============================] - 0s 2ms/step - loss: 4.8606
16/16 [==============================] - 0s 2ms/step - loss: 4.8609
16/16 [==============================] - 0s 2ms/step - loss: 5.2362
16/16 [==============================] - 0s 2ms/step - loss: 5.2373
16/16 [==============================] - 0s 3ms/step - loss: 5.2373
16/16 [==============================] - 0s 2ms/step - loss: 5.2373
16/16 [==============================] - 0s 2ms/step - loss: 5.2373
16/16 [==============================] - 0s 2ms/step - loss: 5.2373
16/16 [==============================] - 0s 2ms/step - loss: 5.2373
Testing for epoch 27 index 24:
391/391 [==============================] - 0s 971us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0041
16/16 [==============================] - 0s 4ms/step - loss: 4.8014
16/16 [==============================] - 0s 1ms/step - loss: 4.8016
16/16 [==============================] - 0s 5ms/step - loss: 5.1823
16/16 [==============================] - 0s 4ms/step - loss: 5.1834
16/16 [==============================] - 0s 4ms/step - loss: 5.1834
16/16 [==============================] - 0s 1ms/step - loss: 5.1834
16/16 [==============================] - 0s 3ms/step - loss: 5.1834
16/16 [==============================] - 0s 3ms/step - loss: 5.1834
16/16 [==============================] - 0s 3ms/step - loss: 5.1834
Epoch 28 of 60
Testing for epoch 28 index 1:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0037
16/16 [==============================] - 0s 2ms/step - loss: 4.8196
16/16 [==============================] - 0s 2ms/step - loss: 4.8199
16/16 [==============================] - 0s 2ms/step - loss: 5.1984
16/16 [==============================] - 0s 1ms/step - loss: 5.1995
16/16 [==============================] - 0s 1ms/step - loss: 5.1995
16/16 [==============================] - 0s 2ms/step - loss: 5.1995
16/16 [==============================] - 0s 1ms/step - loss: 5.1995
16/16 [==============================] - 0s 1ms/step - loss: 5.1995
16/16 [==============================] - 0s 1ms/step - loss: 5.1995
Testing for epoch 28 index 2:
391/391 [==============================] - 0s 888us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0048
16/16 [==============================] - 0s 2ms/step - loss: 4.8614
16/16 [==============================] - 0s 2ms/step - loss: 4.8616
16/16 [==============================] - 0s 2ms/step - loss: 5.2371
16/16 [==============================] - 0s 2ms/step - loss: 5.2382
16/16 [==============================] - 0s 1ms/step - loss: 5.2382
16/16 [==============================] - 0s 1ms/step - loss: 5.2382
16/16 [==============================] - 0s 1ms/step - loss: 5.2382
16/16 [==============================] - 0s 3ms/step - loss: 5.2382
16/16 [==============================] - 0s 2ms/step - loss: 5.2382
Testing for epoch 28 index 3:
391/391 [==============================] - 0s 943us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0046
16/16 [==============================] - 0s 3ms/step - loss: 4.8859
16/16 [==============================] - 0s 1ms/step - loss: 4.8862
16/16 [==============================] - 0s 3ms/step - loss: 5.2595
16/16 [==============================] - 0s 1ms/step - loss: 5.2606
16/16 [==============================] - 0s 2ms/step - loss: 5.2606
16/16 [==============================] - 0s 4ms/step - loss: 5.2606
16/16 [==============================] - 0s 2ms/step - loss: 5.2606
16/16 [==============================] - 0s 1ms/step - loss: 5.2606
16/16 [==============================] - 0s 1ms/step - loss: 5.2606
Testing for epoch 28 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0036
16/16 [==============================] - 0s 2ms/step - loss: 4.8114
16/16 [==============================] - 0s 2ms/step - loss: 4.8116
16/16 [==============================] - 0s 3ms/step - loss: 5.1907
16/16 [==============================] - 0s 2ms/step - loss: 5.1918
16/16 [==============================] - 0s 2ms/step - loss: 5.1918
16/16 [==============================] - 0s 2ms/step - loss: 5.1918
16/16 [==============================] - 0s 2ms/step - loss: 5.1918
16/16 [==============================] - 0s 2ms/step - loss: 5.1918
16/16 [==============================] - 0s 1ms/step - loss: 5.1918
Testing for epoch 28 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0037
16/16 [==============================] - 0s 2ms/step - loss: 4.8099
16/16 [==============================] - 0s 1ms/step - loss: 4.8102
16/16 [==============================] - 0s 2ms/step - loss: 5.1918
16/16 [==============================] - 0s 2ms/step - loss: 5.1929
16/16 [==============================] - 0s 2ms/step - loss: 5.1929
16/16 [==============================] - 0s 2ms/step - loss: 5.1929
16/16 [==============================] - 0s 1ms/step - loss: 5.1929
16/16 [==============================] - 0s 4ms/step - loss: 5.1929
16/16 [==============================] - 0s 3ms/step - loss: 5.1929
Testing for epoch 28 index 6:
391/391 [==============================] - 0s 792us/step
16/16 [==============================] - 0s 858us/step - loss: 0.0040
16/16 [==============================] - 0s 2ms/step - loss: 4.8763
16/16 [==============================] - 0s 1ms/step - loss: 4.8765
16/16 [==============================] - 0s 1ms/step - loss: 5.2511
16/16 [==============================] - 0s 868us/step - loss: 5.2522
16/16 [==============================] - 0s 995us/step - loss: 5.2522
16/16 [==============================] - 0s 1ms/step - loss: 5.2522
16/16 [==============================] - 0s 1ms/step - loss: 5.2522
16/16 [==============================] - 0s 923us/step - loss: 5.2522
16/16 [==============================] - 0s 3ms/step - loss: 5.2522
Testing for epoch 28 index 7:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0038
16/16 [==============================] - 0s 2ms/step - loss: 4.8858
16/16 [==============================] - 0s 2ms/step - loss: 4.8860
16/16 [==============================] - 0s 2ms/step - loss: 5.2610
16/16 [==============================] - 0s 3ms/step - loss: 5.2620
16/16 [==============================] - 0s 2ms/step - loss: 5.2620
16/16 [==============================] - 0s 3ms/step - loss: 5.2620
16/16 [==============================] - 0s 4ms/step - loss: 5.2620
16/16 [==============================] - 0s 2ms/step - loss: 5.2620
16/16 [==============================] - 0s 2ms/step - loss: 5.2620
Testing for epoch 28 index 8:
391/391 [==============================] - 0s 989us/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0043
16/16 [==============================] - 0s 1ms/step - loss: 4.9409
16/16 [==============================] - 0s 3ms/step - loss: 4.9412
16/16 [==============================] - 0s 2ms/step - loss: 5.3099
16/16 [==============================] - 0s 3ms/step - loss: 5.3110
16/16 [==============================] - 0s 3ms/step - loss: 5.3110
16/16 [==============================] - 0s 4ms/step - loss: 5.3110
16/16 [==============================] - 0s 2ms/step - loss: 5.3110
16/16 [==============================] - 0s 2ms/step - loss: 5.3110
16/16 [==============================] - 0s 3ms/step - loss: 5.3110
Testing for epoch 28 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0040
16/16 [==============================] - 0s 2ms/step - loss: 4.9478
16/16 [==============================] - 0s 2ms/step - loss: 4.9481
16/16 [==============================] - 0s 3ms/step - loss: 5.3130
16/16 [==============================] - 0s 4ms/step - loss: 5.3141
16/16 [==============================] - 0s 1ms/step - loss: 5.3141
16/16 [==============================] - 0s 2ms/step - loss: 5.3141
16/16 [==============================] - 0s 2ms/step - loss: 5.3141
16/16 [==============================] - 0s 3ms/step - loss: 5.3141
16/16 [==============================] - 0s 2ms/step - loss: 5.3141
Testing for epoch 28 index 10:
391/391 [==============================] - 0s 923us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0037
16/16 [==============================] - 0s 2ms/step - loss: 4.8533
16/16 [==============================] - 0s 2ms/step - loss: 4.8535
16/16 [==============================] - 0s 2ms/step - loss: 5.2304
16/16 [==============================] - 0s 1ms/step - loss: 5.2314
16/16 [==============================] - 0s 1ms/step - loss: 5.2314
16/16 [==============================] - 0s 3ms/step - loss: 5.2314
16/16 [==============================] - 0s 2ms/step - loss: 5.2314
16/16 [==============================] - 0s 2ms/step - loss: 5.2314
16/16 [==============================] - 0s 1ms/step - loss: 5.2314
Testing for epoch 28 index 11:
391/391 [==============================] - 0s 941us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0040
16/16 [==============================] - 0s 2ms/step - loss: 4.8440
16/16 [==============================] - 0s 2ms/step - loss: 4.8443
16/16 [==============================] - 0s 1ms/step - loss: 5.2260
16/16 [==============================] - 0s 2ms/step - loss: 5.2271
16/16 [==============================] - 0s 3ms/step - loss: 5.2271
16/16 [==============================] - 0s 2ms/step - loss: 5.2271
16/16 [==============================] - 0s 2ms/step - loss: 5.2271
16/16 [==============================] - 0s 2ms/step - loss: 5.2271
16/16 [==============================] - 0s 1ms/step - loss: 5.2271
Testing for epoch 28 index 12:
391/391 [==============================] - 0s 967us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0039
16/16 [==============================] - 0s 1ms/step - loss: 4.8436
16/16 [==============================] - 0s 1ms/step - loss: 4.8439
16/16 [==============================] - 0s 1ms/step - loss: 5.2253
16/16 [==============================] - 0s 1ms/step - loss: 5.2264
16/16 [==============================] - 0s 2ms/step - loss: 5.2264
16/16 [==============================] - 0s 1ms/step - loss: 5.2264
16/16 [==============================] - 0s 3ms/step - loss: 5.2264
16/16 [==============================] - 0s 2ms/step - loss: 5.2264
16/16 [==============================] - 0s 2ms/step - loss: 5.2264
Testing for epoch 28 index 13:
391/391 [==============================] - 0s 995us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0041
16/16 [==============================] - 0s 2ms/step - loss: 4.8591
16/16 [==============================] - 0s 3ms/step - loss: 4.8593
16/16 [==============================] - 0s 3ms/step - loss: 5.2395
16/16 [==============================] - 0s 2ms/step - loss: 5.2406
16/16 [==============================] - 0s 2ms/step - loss: 5.2406
16/16 [==============================] - 0s 1ms/step - loss: 5.2406
16/16 [==============================] - 0s 2ms/step - loss: 5.2406
16/16 [==============================] - 0s 2ms/step - loss: 5.2406
16/16 [==============================] - 0s 2ms/step - loss: 5.2406
Testing for epoch 28 index 14:
391/391 [==============================] - 0s 925us/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0039
16/16 [==============================] - 0s 1ms/step - loss: 4.8373
16/16 [==============================] - 0s 1ms/step - loss: 4.8376
16/16 [==============================] - 0s 2ms/step - loss: 5.2207
16/16 [==============================] - 0s 2ms/step - loss: 5.2218
16/16 [==============================] - 0s 2ms/step - loss: 5.2218
16/16 [==============================] - 0s 2ms/step - loss: 5.2218
16/16 [==============================] - 0s 2ms/step - loss: 5.2218
16/16 [==============================] - 0s 2ms/step - loss: 5.2218
16/16 [==============================] - 0s 2ms/step - loss: 5.2218
Testing for epoch 28 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0041
16/16 [==============================] - 0s 2ms/step - loss: 4.7881
16/16 [==============================] - 0s 3ms/step - loss: 4.7884
16/16 [==============================] - 0s 2ms/step - loss: 5.1765
16/16 [==============================] - 0s 2ms/step - loss: 5.1777
16/16 [==============================] - 0s 2ms/step - loss: 5.1777
16/16 [==============================] - 0s 2ms/step - loss: 5.1777
16/16 [==============================] - 0s 2ms/step - loss: 5.1777
16/16 [==============================] - 0s 3ms/step - loss: 5.1777
16/16 [==============================] - 0s 1ms/step - loss: 5.1777
Testing for epoch 28 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0040
16/16 [==============================] - 0s 2ms/step - loss: 4.7353
16/16 [==============================] - 0s 2ms/step - loss: 4.7356
16/16 [==============================] - 0s 2ms/step - loss: 5.1269
16/16 [==============================] - 0s 2ms/step - loss: 5.1280
16/16 [==============================] - 0s 1ms/step - loss: 5.1280
16/16 [==============================] - 0s 2ms/step - loss: 5.1280
16/16 [==============================] - 0s 2ms/step - loss: 5.1280
16/16 [==============================] - 0s 2ms/step - loss: 5.1280
16/16 [==============================] - 0s 4ms/step - loss: 5.1280
Testing for epoch 28 index 17:
391/391 [==============================] - 0s 982us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0038
16/16 [==============================] - 0s 1ms/step - loss: 4.8065
16/16 [==============================] - 0s 1ms/step - loss: 4.8068
16/16 [==============================] - 0s 2ms/step - loss: 5.1913
16/16 [==============================] - 0s 1ms/step - loss: 5.1924
16/16 [==============================] - 0s 2ms/step - loss: 5.1924
16/16 [==============================] - 0s 4ms/step - loss: 5.1924
16/16 [==============================] - 0s 2ms/step - loss: 5.1924
16/16 [==============================] - 0s 2ms/step - loss: 5.1924
16/16 [==============================] - 0s 2ms/step - loss: 5.1924
Testing for epoch 28 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0037
16/16 [==============================] - 0s 3ms/step - loss: 4.7947
16/16 [==============================] - 0s 2ms/step - loss: 4.7950
16/16 [==============================] - 0s 2ms/step - loss: 5.1822
16/16 [==============================] - 0s 1ms/step - loss: 5.1834
16/16 [==============================] - 0s 2ms/step - loss: 5.1834
16/16 [==============================] - 0s 1ms/step - loss: 5.1834
16/16 [==============================] - 0s 2ms/step - loss: 5.1834
16/16 [==============================] - 0s 2ms/step - loss: 5.1834
16/16 [==============================] - 0s 2ms/step - loss: 5.1834
Testing for epoch 28 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0040
16/16 [==============================] - 0s 2ms/step - loss: 4.8317
16/16 [==============================] - 0s 2ms/step - loss: 4.8319
16/16 [==============================] - 0s 2ms/step - loss: 5.2162
16/16 [==============================] - 0s 2ms/step - loss: 5.2173
16/16 [==============================] - 0s 2ms/step - loss: 5.2173
16/16 [==============================] - 0s 1ms/step - loss: 5.2173
16/16 [==============================] - 0s 1ms/step - loss: 5.2173
16/16 [==============================] - 0s 2ms/step - loss: 5.2173
16/16 [==============================] - 0s 2ms/step - loss: 5.2173
Testing for epoch 28 index 20:
391/391 [==============================] - 0s 954us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0043
16/16 [==============================] - 0s 1ms/step - loss: 4.8778
16/16 [==============================] - 0s 2ms/step - loss: 4.8781
16/16 [==============================] - 0s 3ms/step - loss: 5.2583
16/16 [==============================] - 0s 3ms/step - loss: 5.2594
16/16 [==============================] - 0s 4ms/step - loss: 5.2594
16/16 [==============================] - 0s 3ms/step - loss: 5.2594
16/16 [==============================] - 0s 1ms/step - loss: 5.2594
16/16 [==============================] - 0s 3ms/step - loss: 5.2594
16/16 [==============================] - 0s 4ms/step - loss: 5.2594
Testing for epoch 28 index 21:
391/391 [==============================] - 0s 947us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0038
16/16 [==============================] - 0s 2ms/step - loss: 4.8472
16/16 [==============================] - 0s 1ms/step - loss: 4.8475
16/16 [==============================] - 0s 1ms/step - loss: 5.2298
16/16 [==============================] - 0s 3ms/step - loss: 5.2309
16/16 [==============================] - 0s 2ms/step - loss: 5.2309
16/16 [==============================] - 0s 1ms/step - loss: 5.2309
16/16 [==============================] - 0s 2ms/step - loss: 5.2309
16/16 [==============================] - 0s 3ms/step - loss: 5.2309
16/16 [==============================] - 0s 1ms/step - loss: 5.2309
Testing for epoch 28 index 22:
391/391 [==============================] - 0s 864us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0036
16/16 [==============================] - 0s 3ms/step - loss: 4.8267
16/16 [==============================] - 0s 2ms/step - loss: 4.8270
16/16 [==============================] - 0s 2ms/step - loss: 5.2118
16/16 [==============================] - 0s 2ms/step - loss: 5.2129
16/16 [==============================] - 0s 2ms/step - loss: 5.2129
16/16 [==============================] - 0s 5ms/step - loss: 5.2129
16/16 [==============================] - 0s 2ms/step - loss: 5.2129
16/16 [==============================] - 0s 2ms/step - loss: 5.2129
16/16 [==============================] - 0s 2ms/step - loss: 5.2129
Testing for epoch 28 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0041
16/16 [==============================] - 0s 1ms/step - loss: 4.8366
16/16 [==============================] - 0s 1ms/step - loss: 4.8369
16/16 [==============================] - 0s 1ms/step - loss: 5.2208
16/16 [==============================] - 0s 2ms/step - loss: 5.2219
16/16 [==============================] - 0s 1ms/step - loss: 5.2219
16/16 [==============================] - 0s 2ms/step - loss: 5.2219
16/16 [==============================] - 0s 2ms/step - loss: 5.2219
16/16 [==============================] - 0s 1ms/step - loss: 5.2219
16/16 [==============================] - 0s 2ms/step - loss: 5.2219
Testing for epoch 28 index 24:
391/391 [==============================] - 0s 872us/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0037
16/16 [==============================] - 0s 2ms/step - loss: 4.8866
16/16 [==============================] - 0s 2ms/step - loss: 4.8869
16/16 [==============================] - 0s 2ms/step - loss: 5.2674
16/16 [==============================] - 0s 2ms/step - loss: 5.2685
16/16 [==============================] - 0s 2ms/step - loss: 5.2685
16/16 [==============================] - 0s 2ms/step - loss: 5.2685
16/16 [==============================] - 0s 1ms/step - loss: 5.2685
16/16 [==============================] - 0s 2ms/step - loss: 5.2685
16/16 [==============================] - 0s 2ms/step - loss: 5.2685
Epoch 29 of 60
Testing for epoch 29 index 1:
391/391 [==============================] - 0s 999us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0038
16/16 [==============================] - 0s 2ms/step - loss: 4.9052
16/16 [==============================] - 0s 1ms/step - loss: 4.9055
16/16 [==============================] - 0s 2ms/step - loss: 5.2822
16/16 [==============================] - 0s 2ms/step - loss: 5.2833
16/16 [==============================] - 0s 4ms/step - loss: 5.2833
16/16 [==============================] - 0s 3ms/step - loss: 5.2833
16/16 [==============================] - 0s 2ms/step - loss: 5.2833
16/16 [==============================] - 0s 2ms/step - loss: 5.2833
16/16 [==============================] - 0s 2ms/step - loss: 5.2833
Testing for epoch 29 index 2:
391/391 [==============================] - 0s 992us/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0033
16/16 [==============================] - 0s 1ms/step - loss: 4.8451
16/16 [==============================] - 0s 3ms/step - loss: 4.8454
16/16 [==============================] - 0s 3ms/step - loss: 5.2292
16/16 [==============================] - 0s 2ms/step - loss: 5.2303
16/16 [==============================] - 0s 2ms/step - loss: 5.2303
16/16 [==============================] - 0s 1ms/step - loss: 5.2303
16/16 [==============================] - 0s 2ms/step - loss: 5.2303
16/16 [==============================] - 0s 1ms/step - loss: 5.2303
16/16 [==============================] - 0s 1ms/step - loss: 5.2303
Testing for epoch 29 index 3:
391/391 [==============================] - 0s 948us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0044
16/16 [==============================] - 0s 3ms/step - loss: 4.9049
16/16 [==============================] - 0s 2ms/step - loss: 4.9052
16/16 [==============================] - 0s 2ms/step - loss: 5.2825
16/16 [==============================] - 0s 1ms/step - loss: 5.2836
16/16 [==============================] - 0s 2ms/step - loss: 5.2836
16/16 [==============================] - 0s 1ms/step - loss: 5.2836
16/16 [==============================] - 0s 1ms/step - loss: 5.2836
16/16 [==============================] - 0s 2ms/step - loss: 5.2836
16/16 [==============================] - 0s 3ms/step - loss: 5.2836
Testing for epoch 29 index 4:
391/391 [==============================] - 0s 971us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0038
16/16 [==============================] - 0s 3ms/step - loss: 4.9077
16/16 [==============================] - 0s 2ms/step - loss: 4.9080
16/16 [==============================] - 0s 2ms/step - loss: 5.2864
16/16 [==============================] - 0s 2ms/step - loss: 5.2875
16/16 [==============================] - 0s 3ms/step - loss: 5.2875
16/16 [==============================] - 0s 2ms/step - loss: 5.2875
16/16 [==============================] - 0s 2ms/step - loss: 5.2875
16/16 [==============================] - 0s 2ms/step - loss: 5.2875
16/16 [==============================] - 0s 2ms/step - loss: 5.2875
Testing for epoch 29 index 5:
391/391 [==============================] - 0s 978us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0039
16/16 [==============================] - 0s 1ms/step - loss: 4.9268
16/16 [==============================] - 0s 2ms/step - loss: 4.9271
16/16 [==============================] - 0s 1ms/step - loss: 5.3043
16/16 [==============================] - 0s 2ms/step - loss: 5.3053
16/16 [==============================] - 0s 2ms/step - loss: 5.3053
16/16 [==============================] - 0s 1ms/step - loss: 5.3053
16/16 [==============================] - 0s 2ms/step - loss: 5.3053
16/16 [==============================] - 0s 2ms/step - loss: 5.3053
16/16 [==============================] - 0s 2ms/step - loss: 5.3053
Testing for epoch 29 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0031
16/16 [==============================] - 0s 2ms/step - loss: 4.9045
16/16 [==============================] - 0s 1ms/step - loss: 4.9048
16/16 [==============================] - 0s 1ms/step - loss: 5.2824
16/16 [==============================] - 0s 2ms/step - loss: 5.2835
16/16 [==============================] - 0s 2ms/step - loss: 5.2835
16/16 [==============================] - 0s 1ms/step - loss: 5.2835
16/16 [==============================] - 0s 1ms/step - loss: 5.2835
16/16 [==============================] - 0s 1ms/step - loss: 5.2835
16/16 [==============================] - 0s 2ms/step - loss: 5.2835
Testing for epoch 29 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0036
16/16 [==============================] - 0s 2ms/step - loss: 4.9455
16/16 [==============================] - 0s 2ms/step - loss: 4.9457
16/16 [==============================] - 0s 2ms/step - loss: 5.3194
16/16 [==============================] - 0s 2ms/step - loss: 5.3205
16/16 [==============================] - 0s 2ms/step - loss: 5.3205
16/16 [==============================] - 0s 2ms/step - loss: 5.3205
16/16 [==============================] - 0s 1ms/step - loss: 5.3205
16/16 [==============================] - 0s 1ms/step - loss: 5.3205
16/16 [==============================] - 0s 2ms/step - loss: 5.3205
Testing for epoch 29 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0037
16/16 [==============================] - 0s 1ms/step - loss: 4.9236
16/16 [==============================] - 0s 2ms/step - loss: 4.9239
16/16 [==============================] - 0s 1ms/step - loss: 5.2999
16/16 [==============================] - 0s 2ms/step - loss: 5.3009
16/16 [==============================] - 0s 1ms/step - loss: 5.3009
16/16 [==============================] - 0s 3ms/step - loss: 5.3009
16/16 [==============================] - 0s 4ms/step - loss: 5.3009
16/16 [==============================] - 0s 1ms/step - loss: 5.3009
16/16 [==============================] - 0s 4ms/step - loss: 5.3009
Testing for epoch 29 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0040
16/16 [==============================] - 0s 1ms/step - loss: 5.0180
16/16 [==============================] - 0s 2ms/step - loss: 5.0183
16/16 [==============================] - 0s 1ms/step - loss: 5.3855
16/16 [==============================] - 0s 1ms/step - loss: 5.3866
16/16 [==============================] - 0s 1ms/step - loss: 5.3866
16/16 [==============================] - 0s 1ms/step - loss: 5.3866
16/16 [==============================] - 0s 1ms/step - loss: 5.3866
16/16 [==============================] - 0s 1ms/step - loss: 5.3866
16/16 [==============================] - 0s 2ms/step - loss: 5.3866
Testing for epoch 29 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0036
16/16 [==============================] - 0s 3ms/step - loss: 4.9382
16/16 [==============================] - 0s 2ms/step - loss: 4.9385
16/16 [==============================] - 0s 2ms/step - loss: 5.3124
16/16 [==============================] - 0s 2ms/step - loss: 5.3135
16/16 [==============================] - 0s 2ms/step - loss: 5.3135
16/16 [==============================] - 0s 3ms/step - loss: 5.3135
16/16 [==============================] - 0s 4ms/step - loss: 5.3135
16/16 [==============================] - 0s 2ms/step - loss: 5.3135
16/16 [==============================] - 0s 3ms/step - loss: 5.3135
Testing for epoch 29 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0040
16/16 [==============================] - 0s 3ms/step - loss: 4.8424
16/16 [==============================] - 0s 1ms/step - loss: 4.8427
16/16 [==============================] - 0s 1ms/step - loss: 5.2288
16/16 [==============================] - 0s 2ms/step - loss: 5.2299
16/16 [==============================] - 0s 3ms/step - loss: 5.2299
16/16 [==============================] - 0s 2ms/step - loss: 5.2299
16/16 [==============================] - 0s 3ms/step - loss: 5.2299
16/16 [==============================] - 0s 2ms/step - loss: 5.2299
16/16 [==============================] - 0s 2ms/step - loss: 5.2299
Testing for epoch 29 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0038
16/16 [==============================] - 0s 1ms/step - loss: 4.8817
16/16 [==============================] - 0s 2ms/step - loss: 4.8820
16/16 [==============================] - 0s 2ms/step - loss: 5.2647
16/16 [==============================] - 0s 1ms/step - loss: 5.2658
16/16 [==============================] - 0s 1ms/step - loss: 5.2658
16/16 [==============================] - 0s 3ms/step - loss: 5.2658
16/16 [==============================] - 0s 4ms/step - loss: 5.2658
16/16 [==============================] - 0s 1ms/step - loss: 5.2658
16/16 [==============================] - 0s 2ms/step - loss: 5.2658
Testing for epoch 29 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0042
16/16 [==============================] - 0s 2ms/step - loss: 4.9375
16/16 [==============================] - 0s 2ms/step - loss: 4.9377
16/16 [==============================] - 0s 2ms/step - loss: 5.3164
16/16 [==============================] - 0s 3ms/step - loss: 5.3175
16/16 [==============================] - 0s 2ms/step - loss: 5.3175
16/16 [==============================] - 0s 2ms/step - loss: 5.3175
16/16 [==============================] - 0s 3ms/step - loss: 5.3175
16/16 [==============================] - 0s 2ms/step - loss: 5.3175
16/16 [==============================] - 0s 1ms/step - loss: 5.3175
Testing for epoch 29 index 14:
391/391 [==============================] - 0s 973us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0039
16/16 [==============================] - 0s 2ms/step - loss: 4.8467
16/16 [==============================] - 0s 1ms/step - loss: 4.8470
16/16 [==============================] - 0s 1ms/step - loss: 5.2326
16/16 [==============================] - 0s 2ms/step - loss: 5.2337
16/16 [==============================] - 0s 2ms/step - loss: 5.2337
16/16 [==============================] - 0s 1ms/step - loss: 5.2337
16/16 [==============================] - 0s 2ms/step - loss: 5.2337
16/16 [==============================] - 0s 2ms/step - loss: 5.2337
16/16 [==============================] - 0s 2ms/step - loss: 5.2337
Testing for epoch 29 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0039
16/16 [==============================] - 0s 2ms/step - loss: 4.8782
16/16 [==============================] - 0s 2ms/step - loss: 4.8785
16/16 [==============================] - 0s 2ms/step - loss: 5.2636
16/16 [==============================] - 0s 2ms/step - loss: 5.2647
16/16 [==============================] - 0s 3ms/step - loss: 5.2647
16/16 [==============================] - 0s 3ms/step - loss: 5.2647
16/16 [==============================] - 0s 3ms/step - loss: 5.2647
16/16 [==============================] - 0s 1ms/step - loss: 5.2647
16/16 [==============================] - 0s 4ms/step - loss: 5.2647
Testing for epoch 29 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0037
16/16 [==============================] - 0s 2ms/step - loss: 4.7841
16/16 [==============================] - 0s 3ms/step - loss: 4.7844
16/16 [==============================] - 0s 2ms/step - loss: 5.1782
16/16 [==============================] - 0s 3ms/step - loss: 5.1794
16/16 [==============================] - 0s 3ms/step - loss: 5.1794
16/16 [==============================] - 0s 2ms/step - loss: 5.1794
16/16 [==============================] - 0s 2ms/step - loss: 5.1794
16/16 [==============================] - 0s 2ms/step - loss: 5.1794
16/16 [==============================] - 0s 2ms/step - loss: 5.1794
Testing for epoch 29 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0044
16/16 [==============================] - 0s 2ms/step - loss: 4.8728
16/16 [==============================] - 0s 2ms/step - loss: 4.8731
16/16 [==============================] - 0s 2ms/step - loss: 5.2604
16/16 [==============================] - 0s 2ms/step - loss: 5.2615
16/16 [==============================] - 0s 5ms/step - loss: 5.2615
16/16 [==============================] - 0s 2ms/step - loss: 5.2615
16/16 [==============================] - 0s 2ms/step - loss: 5.2615
16/16 [==============================] - 0s 2ms/step - loss: 5.2615
16/16 [==============================] - 0s 2ms/step - loss: 5.2615
Testing for epoch 29 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0038
16/16 [==============================] - 0s 2ms/step - loss: 4.9268
16/16 [==============================] - 0s 2ms/step - loss: 4.9271
16/16 [==============================] - 0s 2ms/step - loss: 5.3090
16/16 [==============================] - 0s 2ms/step - loss: 5.3101
16/16 [==============================] - 0s 1ms/step - loss: 5.3101
16/16 [==============================] - 0s 2ms/step - loss: 5.3101
16/16 [==============================] - 0s 1ms/step - loss: 5.3101
16/16 [==============================] - 0s 2ms/step - loss: 5.3101
16/16 [==============================] - 0s 2ms/step - loss: 5.3101
Testing for epoch 29 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0041
16/16 [==============================] - 0s 1ms/step - loss: 4.8500
16/16 [==============================] - 0s 2ms/step - loss: 4.8503
16/16 [==============================] - 0s 1ms/step - loss: 5.2378
16/16 [==============================] - 0s 1ms/step - loss: 5.2389
16/16 [==============================] - 0s 2ms/step - loss: 5.2389
16/16 [==============================] - 0s 4ms/step - loss: 5.2389
16/16 [==============================] - 0s 1ms/step - loss: 5.2389
16/16 [==============================] - 0s 4ms/step - loss: 5.2389
16/16 [==============================] - 0s 3ms/step - loss: 5.2389
Testing for epoch 29 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0038
16/16 [==============================] - 0s 1ms/step - loss: 4.8735
16/16 [==============================] - 0s 1ms/step - loss: 4.8738
16/16 [==============================] - 0s 2ms/step - loss: 5.2632
16/16 [==============================] - 0s 3ms/step - loss: 5.2643
16/16 [==============================] - 0s 2ms/step - loss: 5.2643
16/16 [==============================] - 0s 2ms/step - loss: 5.2643
16/16 [==============================] - 0s 2ms/step - loss: 5.2643
16/16 [==============================] - 0s 1ms/step - loss: 5.2643
16/16 [==============================] - 0s 1ms/step - loss: 5.2643
Testing for epoch 29 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0042
16/16 [==============================] - 0s 1ms/step - loss: 4.9486
16/16 [==============================] - 0s 3ms/step - loss: 4.9489
16/16 [==============================] - 0s 2ms/step - loss: 5.3304
16/16 [==============================] - 0s 2ms/step - loss: 5.3315
16/16 [==============================] - 0s 2ms/step - loss: 5.3315
16/16 [==============================] - 0s 1ms/step - loss: 5.3315
16/16 [==============================] - 0s 2ms/step - loss: 5.3315
16/16 [==============================] - 0s 2ms/step - loss: 5.3315
16/16 [==============================] - 0s 1ms/step - loss: 5.3315
Testing for epoch 29 index 22:
391/391 [==============================] - 0s 926us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0035
16/16 [==============================] - 0s 1ms/step - loss: 4.9416
16/16 [==============================] - 0s 2ms/step - loss: 4.9419
16/16 [==============================] - 0s 2ms/step - loss: 5.3233
16/16 [==============================] - 0s 1ms/step - loss: 5.3244
16/16 [==============================] - 0s 2ms/step - loss: 5.3244
16/16 [==============================] - 0s 3ms/step - loss: 5.3244
16/16 [==============================] - 0s 2ms/step - loss: 5.3244
16/16 [==============================] - 0s 2ms/step - loss: 5.3244
16/16 [==============================] - 0s 1ms/step - loss: 5.3244
Testing for epoch 29 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0034
16/16 [==============================] - 0s 2ms/step - loss: 4.8742
16/16 [==============================] - 0s 1ms/step - loss: 4.8745
16/16 [==============================] - 0s 2ms/step - loss: 5.2621
16/16 [==============================] - 0s 2ms/step - loss: 5.2632
16/16 [==============================] - 0s 2ms/step - loss: 5.2632
16/16 [==============================] - 0s 2ms/step - loss: 5.2632
16/16 [==============================] - 0s 1ms/step - loss: 5.2632
16/16 [==============================] - 0s 3ms/step - loss: 5.2632
16/16 [==============================] - 0s 3ms/step - loss: 5.2632
Testing for epoch 29 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0039
16/16 [==============================] - 0s 2ms/step - loss: 4.9565
16/16 [==============================] - 0s 1ms/step - loss: 4.9568
16/16 [==============================] - 0s 2ms/step - loss: 5.3350
16/16 [==============================] - 0s 3ms/step - loss: 5.3361
16/16 [==============================] - 0s 2ms/step - loss: 5.3361
16/16 [==============================] - 0s 3ms/step - loss: 5.3361
16/16 [==============================] - 0s 3ms/step - loss: 5.3361
16/16 [==============================] - 0s 1ms/step - loss: 5.3361
16/16 [==============================] - 0s 3ms/step - loss: 5.3361
Epoch 30 of 60
Testing for epoch 30 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0038
16/16 [==============================] - 0s 3ms/step - loss: 4.8851
16/16 [==============================] - 0s 2ms/step - loss: 4.8853
16/16 [==============================] - 0s 2ms/step - loss: 5.2712
16/16 [==============================] - 0s 2ms/step - loss: 5.2723
16/16 [==============================] - 0s 2ms/step - loss: 5.2723
16/16 [==============================] - 0s 2ms/step - loss: 5.2723
16/16 [==============================] - 0s 3ms/step - loss: 5.2723
16/16 [==============================] - 0s 2ms/step - loss: 5.2723
16/16 [==============================] - 0s 3ms/step - loss: 5.2723
Testing for epoch 30 index 2:
391/391 [==============================] - 0s 896us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0034
16/16 [==============================] - 0s 2ms/step - loss: 4.9527
16/16 [==============================] - 0s 2ms/step - loss: 4.9530
16/16 [==============================] - 0s 2ms/step - loss: 5.3307
16/16 [==============================] - 0s 2ms/step - loss: 5.3318
16/16 [==============================] - 0s 2ms/step - loss: 5.3318
16/16 [==============================] - 0s 2ms/step - loss: 5.3318
16/16 [==============================] - 0s 4ms/step - loss: 5.3318
16/16 [==============================] - 0s 2ms/step - loss: 5.3318
16/16 [==============================] - 0s 3ms/step - loss: 5.3318
Testing for epoch 30 index 3:
391/391 [==============================] - 0s 952us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0036
16/16 [==============================] - 0s 2ms/step - loss: 4.9269
16/16 [==============================] - 0s 1ms/step - loss: 4.9272
16/16 [==============================] - 0s 2ms/step - loss: 5.3092
16/16 [==============================] - 0s 2ms/step - loss: 5.3103
16/16 [==============================] - 0s 2ms/step - loss: 5.3103
16/16 [==============================] - 0s 4ms/step - loss: 5.3103
16/16 [==============================] - 0s 1ms/step - loss: 5.3103
16/16 [==============================] - 0s 2ms/step - loss: 5.3103
16/16 [==============================] - 0s 2ms/step - loss: 5.3103
Testing for epoch 30 index 4:
391/391 [==============================] - 0s 916us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0038
16/16 [==============================] - 0s 2ms/step - loss: 5.0097
16/16 [==============================] - 0s 1ms/step - loss: 5.0100
16/16 [==============================] - 0s 3ms/step - loss: 5.3843
16/16 [==============================] - 0s 2ms/step - loss: 5.3854
16/16 [==============================] - 0s 3ms/step - loss: 5.3854
16/16 [==============================] - 0s 2ms/step - loss: 5.3854
16/16 [==============================] - 0s 1ms/step - loss: 5.3854
16/16 [==============================] - 0s 1ms/step - loss: 5.3854
16/16 [==============================] - 0s 2ms/step - loss: 5.3854
Testing for epoch 30 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0031
16/16 [==============================] - 0s 2ms/step - loss: 4.9155
16/16 [==============================] - 0s 1ms/step - loss: 4.9158
16/16 [==============================] - 0s 1ms/step - loss: 5.3003
16/16 [==============================] - 0s 3ms/step - loss: 5.3015
16/16 [==============================] - 0s 2ms/step - loss: 5.3015
16/16 [==============================] - 0s 3ms/step - loss: 5.3015
16/16 [==============================] - 0s 2ms/step - loss: 5.3015
16/16 [==============================] - 0s 2ms/step - loss: 5.3015
16/16 [==============================] - 0s 2ms/step - loss: 5.3015
Testing for epoch 30 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0034
16/16 [==============================] - 0s 3ms/step - loss: 4.9720
16/16 [==============================] - 0s 2ms/step - loss: 4.9723
16/16 [==============================] - 0s 1ms/step - loss: 5.3508
16/16 [==============================] - 0s 2ms/step - loss: 5.3519
16/16 [==============================] - 0s 3ms/step - loss: 5.3519
16/16 [==============================] - 0s 2ms/step - loss: 5.3519
16/16 [==============================] - 0s 3ms/step - loss: 5.3519
16/16 [==============================] - 0s 2ms/step - loss: 5.3519
16/16 [==============================] - 0s 2ms/step - loss: 5.3519
Testing for epoch 30 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0036
16/16 [==============================] - 0s 5ms/step - loss: 4.9881
16/16 [==============================] - 0s 1ms/step - loss: 4.9884
16/16 [==============================] - 0s 895us/step - loss: 5.3639
16/16 [==============================] - 0s 931us/step - loss: 5.3650
16/16 [==============================] - 0s 929us/step - loss: 5.3650
16/16 [==============================] - 0s 928us/step - loss: 5.3650
16/16 [==============================] - 0s 975us/step - loss: 5.3650
16/16 [==============================] - 0s 988us/step - loss: 5.3650
16/16 [==============================] - 0s 924us/step - loss: 5.3650
Testing for epoch 30 index 8:
391/391 [==============================] - 0s 649us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0030
16/16 [==============================] - 0s 900us/step - loss: 4.9993
16/16 [==============================] - 0s 3ms/step - loss: 4.9996
16/16 [==============================] - 0s 1ms/step - loss: 5.3733
16/16 [==============================] - 0s 962us/step - loss: 5.3744
16/16 [==============================] - 0s 942us/step - loss: 5.3744
16/16 [==============================] - 0s 1ms/step - loss: 5.3744
16/16 [==============================] - 0s 1ms/step - loss: 5.3744
16/16 [==============================] - 0s 993us/step - loss: 5.3744
16/16 [==============================] - 0s 1ms/step - loss: 5.3744
Testing for epoch 30 index 9:
391/391 [==============================] - 0s 634us/step
16/16 [==============================] - 0s 868us/step - loss: 0.0034
16/16 [==============================] - 0s 809us/step - loss: 5.0234
16/16 [==============================] - 0s 843us/step - loss: 5.0237
16/16 [==============================] - 0s 669us/step - loss: 5.3964
16/16 [==============================] - 0s 816us/step - loss: 5.3975
16/16 [==============================] - 0s 780us/step - loss: 5.3975
16/16 [==============================] - 0s 994us/step - loss: 5.3975
16/16 [==============================] - 0s 959us/step - loss: 5.3975
16/16 [==============================] - 0s 1ms/step - loss: 5.3975
16/16 [==============================] - 0s 1ms/step - loss: 5.3975
Testing for epoch 30 index 10:
391/391 [==============================] - 0s 612us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0030
16/16 [==============================] - 0s 710us/step - loss: 4.9789
16/16 [==============================] - 0s 2ms/step - loss: 4.9791
16/16 [==============================] - 0s 823us/step - loss: 5.3572
16/16 [==============================] - 0s 2ms/step - loss: 5.3583
16/16 [==============================] - 0s 816us/step - loss: 5.3583
16/16 [==============================] - 0s 819us/step - loss: 5.3583
16/16 [==============================] - 0s 854us/step - loss: 5.3583
16/16 [==============================] - 0s 881us/step - loss: 5.3583
16/16 [==============================] - 0s 793us/step - loss: 5.3583
Testing for epoch 30 index 11:
391/391 [==============================] - 0s 733us/step
16/16 [==============================] - 0s 934us/step - loss: 0.0032
16/16 [==============================] - 0s 887us/step - loss: 4.8994
16/16 [==============================] - 0s 937us/step - loss: 4.8997
16/16 [==============================] - 0s 920us/step - loss: 5.2879
16/16 [==============================] - 0s 893us/step - loss: 5.2890
16/16 [==============================] - 0s 936us/step - loss: 5.2890
16/16 [==============================] - 0s 909us/step - loss: 5.2890
16/16 [==============================] - 0s 970us/step - loss: 5.2890
16/16 [==============================] - 0s 917us/step - loss: 5.2890
16/16 [==============================] - 0s 974us/step - loss: 5.2890
Testing for epoch 30 index 12:
391/391 [==============================] - 0s 607us/step
16/16 [==============================] - 0s 876us/step - loss: 0.0038
16/16 [==============================] - 0s 852us/step - loss: 4.9208
16/16 [==============================] - 0s 1ms/step - loss: 4.9210
16/16 [==============================] - 0s 996us/step - loss: 5.3081
16/16 [==============================] - 0s 977us/step - loss: 5.3092
16/16 [==============================] - 0s 982us/step - loss: 5.3092
16/16 [==============================] - 0s 999us/step - loss: 5.3092
16/16 [==============================] - 0s 893us/step - loss: 5.3092
16/16 [==============================] - 0s 1ms/step - loss: 5.3092
16/16 [==============================] - 0s 1ms/step - loss: 5.3092
Testing for epoch 30 index 13:
391/391 [==============================] - 0s 766us/step
16/16 [==============================] - 0s 898us/step - loss: 0.0038
16/16 [==============================] - 0s 862us/step - loss: 4.9108
16/16 [==============================] - 0s 888us/step - loss: 4.9111
16/16 [==============================] - 0s 878us/step - loss: 5.2985
16/16 [==============================] - 0s 874us/step - loss: 5.2997
16/16 [==============================] - 0s 858us/step - loss: 5.2997
16/16 [==============================] - 0s 1ms/step - loss: 5.2997
16/16 [==============================] - 0s 1ms/step - loss: 5.2997
16/16 [==============================] - 0s 965us/step - loss: 5.2997
16/16 [==============================] - 0s 910us/step - loss: 5.2997
Testing for epoch 30 index 14:
391/391 [==============================] - 0s 678us/step
16/16 [==============================] - 0s 979us/step - loss: 0.0037
16/16 [==============================] - 0s 955us/step - loss: 4.8813
16/16 [==============================] - 0s 872us/step - loss: 4.8816
16/16 [==============================] - 0s 923us/step - loss: 5.2721
16/16 [==============================] - 0s 918us/step - loss: 5.2732
16/16 [==============================] - 0s 925us/step - loss: 5.2732
16/16 [==============================] - 0s 896us/step - loss: 5.2732
16/16 [==============================] - 0s 901us/step - loss: 5.2732
16/16 [==============================] - 0s 963us/step - loss: 5.2732
16/16 [==============================] - 0s 885us/step - loss: 5.2732
Testing for epoch 30 index 15:
391/391 [==============================] - 0s 608us/step
16/16 [==============================] - 0s 869us/step - loss: 0.0046
16/16 [==============================] - 0s 842us/step - loss: 4.9268
16/16 [==============================] - 0s 858us/step - loss: 4.9271
16/16 [==============================] - 0s 861us/step - loss: 5.3143
16/16 [==============================] - 0s 861us/step - loss: 5.3154
16/16 [==============================] - 0s 845us/step - loss: 5.3154
16/16 [==============================] - 0s 885us/step - loss: 5.3154
16/16 [==============================] - 0s 902us/step - loss: 5.3154
16/16 [==============================] - 0s 888us/step - loss: 5.3154
16/16 [==============================] - 0s 901us/step - loss: 5.3154
Testing for epoch 30 index 16:
391/391 [==============================] - 0s 596us/step
16/16 [==============================] - 0s 853us/step - loss: 0.0037
16/16 [==============================] - 0s 846us/step - loss: 4.8905
16/16 [==============================] - 0s 831us/step - loss: 4.8908
16/16 [==============================] - 0s 827us/step - loss: 5.2830
16/16 [==============================] - 0s 847us/step - loss: 5.2841
16/16 [==============================] - 0s 825us/step - loss: 5.2841
16/16 [==============================] - 0s 832us/step - loss: 5.2841
16/16 [==============================] - 0s 830us/step - loss: 5.2841
16/16 [==============================] - 0s 850us/step - loss: 5.2841
16/16 [==============================] - 0s 851us/step - loss: 5.2841
Testing for epoch 30 index 17:
391/391 [==============================] - 0s 615us/step
16/16 [==============================] - 0s 865us/step - loss: 0.0042
16/16 [==============================] - 0s 871us/step - loss: 4.9525
16/16 [==============================] - 0s 841us/step - loss: 4.9528
16/16 [==============================] - 0s 853us/step - loss: 5.3379
16/16 [==============================] - 0s 864us/step - loss: 5.3391
16/16 [==============================] - 0s 857us/step - loss: 5.3391
16/16 [==============================] - 0s 842us/step - loss: 5.3391
16/16 [==============================] - 0s 879us/step - loss: 5.3391
16/16 [==============================] - 0s 839us/step - loss: 5.3391
16/16 [==============================] - 0s 821us/step - loss: 5.3391
Testing for epoch 30 index 18:
391/391 [==============================] - 0s 609us/step
16/16 [==============================] - 0s 907us/step - loss: 0.0038
16/16 [==============================] - 0s 849us/step - loss: 4.9449
16/16 [==============================] - 0s 1ms/step - loss: 4.9452
16/16 [==============================] - 0s 844us/step - loss: 5.3284
16/16 [==============================] - 0s 937us/step - loss: 5.3296
16/16 [==============================] - 0s 866us/step - loss: 5.3296
16/16 [==============================] - 0s 859us/step - loss: 5.3296
16/16 [==============================] - 0s 840us/step - loss: 5.3296
16/16 [==============================] - 0s 850us/step - loss: 5.3296
16/16 [==============================] - 0s 851us/step - loss: 5.3296
Testing for epoch 30 index 19:
391/391 [==============================] - 0s 819us/step
16/16 [==============================] - 0s 801us/step - loss: 0.0042
16/16 [==============================] - 0s 799us/step - loss: 4.9416
16/16 [==============================] - 0s 793us/step - loss: 4.9419
16/16 [==============================] - 0s 818us/step - loss: 5.3295
16/16 [==============================] - 0s 1ms/step - loss: 5.3306
16/16 [==============================] - 0s 768us/step - loss: 5.3306
16/16 [==============================] - 0s 760us/step - loss: 5.3306
16/16 [==============================] - 0s 761us/step - loss: 5.3306
16/16 [==============================] - 0s 815us/step - loss: 5.3306
16/16 [==============================] - 0s 973us/step - loss: 5.3306
Testing for epoch 30 index 20:
391/391 [==============================] - 0s 911us/step
16/16 [==============================] - 0s 804us/step - loss: 0.0039
16/16 [==============================] - 0s 810us/step - loss: 4.8870
16/16 [==============================] - 0s 810us/step - loss: 4.8872
16/16 [==============================] - 0s 2ms/step - loss: 5.2787
16/16 [==============================] - 0s 925us/step - loss: 5.2798
16/16 [==============================] - 0s 4ms/step - loss: 5.2798
16/16 [==============================] - 0s 681us/step - loss: 5.2798
16/16 [==============================] - 0s 835us/step - loss: 5.2798
16/16 [==============================] - 0s 2ms/step - loss: 5.2798
16/16 [==============================] - 0s 779us/step - loss: 5.2798
Testing for epoch 30 index 21:
391/391 [==============================] - 0s 637us/step
16/16 [==============================] - 0s 916us/step - loss: 0.0037
16/16 [==============================] - 0s 917us/step - loss: 4.9127
16/16 [==============================] - 0s 928us/step - loss: 4.9130
16/16 [==============================] - 0s 925us/step - loss: 5.3022
16/16 [==============================] - 0s 918us/step - loss: 5.3033
16/16 [==============================] - 0s 920us/step - loss: 5.3033
16/16 [==============================] - 0s 926us/step - loss: 5.3033
16/16 [==============================] - 0s 917us/step - loss: 5.3033
16/16 [==============================] - 0s 906us/step - loss: 5.3033
16/16 [==============================] - 0s 906us/step - loss: 5.3033
Testing for epoch 30 index 22:
391/391 [==============================] - 0s 732us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0041
16/16 [==============================] - 0s 1ms/step - loss: 4.9835
16/16 [==============================] - 0s 1ms/step - loss: 4.9838
16/16 [==============================] - 0s 879us/step - loss: 5.3653
16/16 [==============================] - 0s 891us/step - loss: 5.3664
16/16 [==============================] - 0s 892us/step - loss: 5.3664
16/16 [==============================] - 0s 900us/step - loss: 5.3664
16/16 [==============================] - 0s 1ms/step - loss: 5.3664
16/16 [==============================] - 0s 1ms/step - loss: 5.3664
16/16 [==============================] - 0s 862us/step - loss: 5.3664
Testing for epoch 30 index 23:
391/391 [==============================] - 0s 648us/step
16/16 [==============================] - 0s 889us/step - loss: 0.0037
16/16 [==============================] - 0s 960us/step - loss: 4.9286
16/16 [==============================] - 0s 895us/step - loss: 4.9289
16/16 [==============================] - 0s 1ms/step - loss: 5.3178
16/16 [==============================] - 0s 1ms/step - loss: 5.3189
16/16 [==============================] - 0s 1ms/step - loss: 5.3189
16/16 [==============================] - 0s 1ms/step - loss: 5.3189
16/16 [==============================] - 0s 902us/step - loss: 5.3189
16/16 [==============================] - 0s 890us/step - loss: 5.3189
16/16 [==============================] - 0s 871us/step - loss: 5.3189
Testing for epoch 30 index 24:
391/391 [==============================] - 0s 605us/step
16/16 [==============================] - 0s 835us/step - loss: 0.0038
16/16 [==============================] - 0s 882us/step - loss: 4.9576
16/16 [==============================] - 0s 867us/step - loss: 4.9578
16/16 [==============================] - 0s 1ms/step - loss: 5.3417
16/16 [==============================] - 0s 906us/step - loss: 5.3428
16/16 [==============================] - 0s 1ms/step - loss: 5.3428
16/16 [==============================] - 0s 846us/step - loss: 5.3428
16/16 [==============================] - 0s 884us/step - loss: 5.3428
16/16 [==============================] - 0s 834us/step - loss: 5.3428
16/16 [==============================] - 0s 904us/step - loss: 5.3428
Epoch 31 of 60
Testing for epoch 31 index 1:
391/391 [==============================] - 0s 603us/step
16/16 [==============================] - 0s 854us/step - loss: 0.0035
16/16 [==============================] - 0s 866us/step - loss: 4.9590
16/16 [==============================] - 0s 876us/step - loss: 4.9593
16/16 [==============================] - 0s 885us/step - loss: 5.3430
16/16 [==============================] - 0s 887us/step - loss: 5.3441
16/16 [==============================] - 0s 937us/step - loss: 5.3441
16/16 [==============================] - 0s 894us/step - loss: 5.3441
16/16 [==============================] - 0s 895us/step - loss: 5.3441
16/16 [==============================] - 0s 923us/step - loss: 5.3441
16/16 [==============================] - 0s 1ms/step - loss: 5.3441
Testing for epoch 31 index 2:
391/391 [==============================] - 0s 606us/step
16/16 [==============================] - 0s 838us/step - loss: 0.0035
16/16 [==============================] - 0s 848us/step - loss: 4.9721
16/16 [==============================] - 0s 836us/step - loss: 4.9724
16/16 [==============================] - 0s 850us/step - loss: 5.3553
16/16 [==============================] - 0s 842us/step - loss: 5.3564
16/16 [==============================] - 0s 867us/step - loss: 5.3564
16/16 [==============================] - 0s 1ms/step - loss: 5.3564
16/16 [==============================] - 0s 1ms/step - loss: 5.3564
16/16 [==============================] - 0s 1ms/step - loss: 5.3564
16/16 [==============================] - 0s 1ms/step - loss: 5.3564
Testing for epoch 31 index 3:
391/391 [==============================] - 0s 840us/step
16/16 [==============================] - 0s 789us/step - loss: 0.0038
16/16 [==============================] - 0s 819us/step - loss: 5.0099
16/16 [==============================] - 0s 796us/step - loss: 5.0102
16/16 [==============================] - 0s 2ms/step - loss: 5.3919
16/16 [==============================] - 0s 1ms/step - loss: 5.3930
16/16 [==============================] - 0s 708us/step - loss: 5.3930
16/16 [==============================] - 0s 764us/step - loss: 5.3930
16/16 [==============================] - 0s 770us/step - loss: 5.3930
16/16 [==============================] - 0s 771us/step - loss: 5.3930
16/16 [==============================] - 0s 2ms/step - loss: 5.3930
Testing for epoch 31 index 4:
391/391 [==============================] - 0s 737us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0035
16/16 [==============================] - 0s 822us/step - loss: 4.9931
16/16 [==============================] - 0s 2ms/step - loss: 4.9933
16/16 [==============================] - 0s 2ms/step - loss: 5.3732
16/16 [==============================] - 0s 2ms/step - loss: 5.3743
16/16 [==============================] - 0s 1ms/step - loss: 5.3743
16/16 [==============================] - 0s 860us/step - loss: 5.3743
16/16 [==============================] - 0s 1ms/step - loss: 5.3743
16/16 [==============================] - 0s 1ms/step - loss: 5.3743
16/16 [==============================] - 0s 1ms/step - loss: 5.3743
Testing for epoch 31 index 5:
391/391 [==============================] - 0s 731us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0036
16/16 [==============================] - 0s 872us/step - loss: 5.0456
16/16 [==============================] - 0s 874us/step - loss: 5.0459
16/16 [==============================] - 0s 862us/step - loss: 5.4229
16/16 [==============================] - 0s 880us/step - loss: 5.4240
16/16 [==============================] - 0s 893us/step - loss: 5.4240
16/16 [==============================] - 0s 872us/step - loss: 5.4240
16/16 [==============================] - 0s 1ms/step - loss: 5.4240
16/16 [==============================] - 0s 844us/step - loss: 5.4240
16/16 [==============================] - 0s 856us/step - loss: 5.4240
Testing for epoch 31 index 6:
391/391 [==============================] - 0s 657us/step
16/16 [==============================] - 0s 900us/step - loss: 0.0033
16/16 [==============================] - 0s 918us/step - loss: 5.0333
16/16 [==============================] - 0s 868us/step - loss: 5.0336
16/16 [==============================] - 0s 872us/step - loss: 5.4113
16/16 [==============================] - 0s 885us/step - loss: 5.4124
16/16 [==============================] - 0s 873us/step - loss: 5.4124
16/16 [==============================] - 0s 893us/step - loss: 5.4124
16/16 [==============================] - 0s 892us/step - loss: 5.4124
16/16 [==============================] - 0s 875us/step - loss: 5.4124
16/16 [==============================] - 0s 859us/step - loss: 5.4124
Testing for epoch 31 index 7:
391/391 [==============================] - 0s 619us/step
16/16 [==============================] - 0s 877us/step - loss: 0.0036
16/16 [==============================] - 0s 883us/step - loss: 5.0652
16/16 [==============================] - 0s 900us/step - loss: 5.0655
16/16 [==============================] - 0s 910us/step - loss: 5.4405
16/16 [==============================] - 0s 849us/step - loss: 5.4416
16/16 [==============================] - 0s 867us/step - loss: 5.4416
16/16 [==============================] - 0s 840us/step - loss: 5.4416
16/16 [==============================] - 0s 872us/step - loss: 5.4416
16/16 [==============================] - 0s 876us/step - loss: 5.4416
16/16 [==============================] - 0s 891us/step - loss: 5.4416
Testing for epoch 31 index 8:
391/391 [==============================] - 0s 635us/step
16/16 [==============================] - 0s 912us/step - loss: 0.0031
16/16 [==============================] - 0s 892us/step - loss: 5.0470
16/16 [==============================] - 0s 894us/step - loss: 5.0473
16/16 [==============================] - 0s 873us/step - loss: 5.4234
16/16 [==============================] - 0s 883us/step - loss: 5.4245
16/16 [==============================] - 0s 885us/step - loss: 5.4245
16/16 [==============================] - 0s 874us/step - loss: 5.4245
16/16 [==============================] - 0s 871us/step - loss: 5.4245
16/16 [==============================] - 0s 876us/step - loss: 5.4245
16/16 [==============================] - 0s 851us/step - loss: 5.4245
Testing for epoch 31 index 9:
391/391 [==============================] - 0s 640us/step
16/16 [==============================] - 0s 906us/step - loss: 0.0037
16/16 [==============================] - 0s 879us/step - loss: 5.1318
16/16 [==============================] - 0s 910us/step - loss: 5.1321
16/16 [==============================] - 0s 1ms/step - loss: 5.5008
16/16 [==============================] - 0s 1ms/step - loss: 5.5018
16/16 [==============================] - 0s 1ms/step - loss: 5.5018
16/16 [==============================] - 0s 1ms/step - loss: 5.5018
16/16 [==============================] - 0s 1ms/step - loss: 5.5018
16/16 [==============================] - 0s 1ms/step - loss: 5.5018
16/16 [==============================] - 0s 1ms/step - loss: 5.5018
Testing for epoch 31 index 10:
391/391 [==============================] - 0s 624us/step
16/16 [==============================] - 0s 908us/step - loss: 0.0035
16/16 [==============================] - 0s 889us/step - loss: 5.0184
16/16 [==============================] - 0s 907us/step - loss: 5.0186
16/16 [==============================] - 0s 906us/step - loss: 5.3973
16/16 [==============================] - 0s 913us/step - loss: 5.3984
16/16 [==============================] - 0s 958us/step - loss: 5.3984
16/16 [==============================] - 0s 895us/step - loss: 5.3984
16/16 [==============================] - 0s 856us/step - loss: 5.3984
16/16 [==============================] - 0s 897us/step - loss: 5.3984
16/16 [==============================] - 0s 880us/step - loss: 5.3984
Testing for epoch 31 index 11:
391/391 [==============================] - 0s 981us/step
16/16 [==============================] - 0s 823us/step - loss: 0.0036
16/16 [==============================] - 0s 2ms/step - loss: 5.0030
16/16 [==============================] - 0s 2ms/step - loss: 5.0033
16/16 [==============================] - 0s 1ms/step - loss: 5.3850
16/16 [==============================] - 0s 849us/step - loss: 5.3861
16/16 [==============================] - 0s 842us/step - loss: 5.3861
16/16 [==============================] - 0s 784us/step - loss: 5.3861
16/16 [==============================] - 0s 660us/step - loss: 5.3861
16/16 [==============================] - 0s 2ms/step - loss: 5.3861
16/16 [==============================] - 0s 656us/step - loss: 5.3861
Testing for epoch 31 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0035
16/16 [==============================] - 0s 932us/step - loss: 5.0029
16/16 [==============================] - 0s 1ms/step - loss: 5.0032
16/16 [==============================] - 0s 1ms/step - loss: 5.3889
16/16 [==============================] - 0s 803us/step - loss: 5.3900
16/16 [==============================] - 0s 2ms/step - loss: 5.3900
16/16 [==============================] - 0s 897us/step - loss: 5.3900
16/16 [==============================] - 0s 895us/step - loss: 5.3900
16/16 [==============================] - 0s 884us/step - loss: 5.3900
16/16 [==============================] - 0s 887us/step - loss: 5.3900
Testing for epoch 31 index 13:
391/391 [==============================] - 0s 691us/step
16/16 [==============================] - 0s 933us/step - loss: 0.0038
16/16 [==============================] - 0s 901us/step - loss: 4.9968
16/16 [==============================] - 0s 891us/step - loss: 4.9970
16/16 [==============================] - 0s 892us/step - loss: 5.3825
16/16 [==============================] - 0s 905us/step - loss: 5.3836
16/16 [==============================] - 0s 866us/step - loss: 5.3836
16/16 [==============================] - 0s 1ms/step - loss: 5.3836
16/16 [==============================] - 0s 1ms/step - loss: 5.3836
16/16 [==============================] - 0s 1ms/step - loss: 5.3836
16/16 [==============================] - 0s 1ms/step - loss: 5.3836
Testing for epoch 31 index 14:
391/391 [==============================] - 0s 725us/step
16/16 [==============================] - 0s 875us/step - loss: 0.0045
16/16 [==============================] - 0s 858us/step - loss: 4.9823
16/16 [==============================] - 0s 854us/step - loss: 4.9826
16/16 [==============================] - 0s 897us/step - loss: 5.3690
16/16 [==============================] - 0s 884us/step - loss: 5.3701
16/16 [==============================] - 0s 886us/step - loss: 5.3701
16/16 [==============================] - 0s 907us/step - loss: 5.3701
16/16 [==============================] - 0s 899us/step - loss: 5.3701
16/16 [==============================] - 0s 864us/step - loss: 5.3701
16/16 [==============================] - 0s 875us/step - loss: 5.3701
Testing for epoch 31 index 15:
391/391 [==============================] - 0s 600us/step
16/16 [==============================] - 0s 861us/step - loss: 0.0040
16/16 [==============================] - 0s 1ms/step - loss: 4.9342
16/16 [==============================] - 0s 917us/step - loss: 4.9344
16/16 [==============================] - 0s 860us/step - loss: 5.3283
16/16 [==============================] - 0s 855us/step - loss: 5.3294
16/16 [==============================] - 0s 857us/step - loss: 5.3294
16/16 [==============================] - 0s 854us/step - loss: 5.3294
16/16 [==============================] - 0s 849us/step - loss: 5.3294
16/16 [==============================] - 0s 842us/step - loss: 5.3294
16/16 [==============================] - 0s 1ms/step - loss: 5.3294
Testing for epoch 31 index 16:
391/391 [==============================] - 0s 623us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0040
16/16 [==============================] - 0s 878us/step - loss: 4.9532
16/16 [==============================] - 0s 858us/step - loss: 4.9535
16/16 [==============================] - 0s 858us/step - loss: 5.3453
16/16 [==============================] - 0s 864us/step - loss: 5.3464
16/16 [==============================] - 0s 832us/step - loss: 5.3464
16/16 [==============================] - 0s 886us/step - loss: 5.3464
16/16 [==============================] - 0s 876us/step - loss: 5.3464
16/16 [==============================] - 0s 856us/step - loss: 5.3464
16/16 [==============================] - 0s 856us/step - loss: 5.3464
Testing for epoch 31 index 17:
391/391 [==============================] - 0s 651us/step
16/16 [==============================] - 0s 895us/step - loss: 0.0042
16/16 [==============================] - 0s 901us/step - loss: 4.9573
16/16 [==============================] - 0s 910us/step - loss: 4.9576
16/16 [==============================] - 0s 910us/step - loss: 5.3480
16/16 [==============================] - 0s 902us/step - loss: 5.3491
16/16 [==============================] - 0s 883us/step - loss: 5.3491
16/16 [==============================] - 0s 885us/step - loss: 5.3491
16/16 [==============================] - 0s 840us/step - loss: 5.3491
16/16 [==============================] - 0s 853us/step - loss: 5.3491
16/16 [==============================] - 0s 860us/step - loss: 5.3491
Testing for epoch 31 index 18:
391/391 [==============================] - 0s 627us/step
16/16 [==============================] - 0s 928us/step - loss: 0.0043
16/16 [==============================] - 0s 888us/step - loss: 5.0424
16/16 [==============================] - 0s 864us/step - loss: 5.0427
16/16 [==============================] - 0s 876us/step - loss: 5.4280
16/16 [==============================] - 0s 884us/step - loss: 5.4291
16/16 [==============================] - 0s 928us/step - loss: 5.4291
16/16 [==============================] - 0s 882us/step - loss: 5.4291
16/16 [==============================] - 0s 880us/step - loss: 5.4291
16/16 [==============================] - 0s 928us/step - loss: 5.4291
16/16 [==============================] - 0s 885us/step - loss: 5.4291
Testing for epoch 31 index 19:
391/391 [==============================] - 0s 693us/step
16/16 [==============================] - 0s 818us/step - loss: 0.0043
16/16 [==============================] - 0s 783us/step - loss: 4.9765
16/16 [==============================] - 0s 781us/step - loss: 4.9768
16/16 [==============================] - 0s 1ms/step - loss: 5.3659
16/16 [==============================] - 0s 2ms/step - loss: 5.3670
16/16 [==============================] - 0s 749us/step - loss: 5.3670
16/16 [==============================] - 0s 837us/step - loss: 5.3670
16/16 [==============================] - 0s 1ms/step - loss: 5.3670
16/16 [==============================] - 0s 665us/step - loss: 5.3670
16/16 [==============================] - 0s 2ms/step - loss: 5.3670
Testing for epoch 31 index 20:
391/391 [==============================] - 0s 870us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0037
16/16 [==============================] - 0s 821us/step - loss: 4.9601
16/16 [==============================] - 0s 819us/step - loss: 4.9603
16/16 [==============================] - 0s 821us/step - loss: 5.3521
16/16 [==============================] - 0s 781us/step - loss: 5.3532
16/16 [==============================] - 0s 1ms/step - loss: 5.3532
16/16 [==============================] - 0s 953us/step - loss: 5.3532
16/16 [==============================] - 0s 1ms/step - loss: 5.3532
16/16 [==============================] - 0s 2ms/step - loss: 5.3532
16/16 [==============================] - 0s 767us/step - loss: 5.3532
Testing for epoch 31 index 21:
391/391 [==============================] - 0s 621us/step
16/16 [==============================] - 0s 908us/step - loss: 0.0042
16/16 [==============================] - 0s 874us/step - loss: 4.9714
16/16 [==============================] - 0s 1ms/step - loss: 4.9717
16/16 [==============================] - 0s 1ms/step - loss: 5.3639
16/16 [==============================] - 0s 1ms/step - loss: 5.3651
16/16 [==============================] - 0s 895us/step - loss: 5.3651
16/16 [==============================] - 0s 888us/step - loss: 5.3651
16/16 [==============================] - 0s 886us/step - loss: 5.3651
16/16 [==============================] - 0s 1ms/step - loss: 5.3651
16/16 [==============================] - 0s 883us/step - loss: 5.3651
Testing for epoch 31 index 22:
391/391 [==============================] - 0s 783us/step
16/16 [==============================] - 0s 873us/step - loss: 0.0042
16/16 [==============================] - 0s 1ms/step - loss: 5.0220
16/16 [==============================] - 0s 894us/step - loss: 5.0223
16/16 [==============================] - 0s 1ms/step - loss: 5.4104
16/16 [==============================] - 0s 1ms/step - loss: 5.4115
16/16 [==============================] - 0s 1ms/step - loss: 5.4115
16/16 [==============================] - 0s 862us/step - loss: 5.4115
16/16 [==============================] - 0s 873us/step - loss: 5.4115
16/16 [==============================] - 0s 877us/step - loss: 5.4115
16/16 [==============================] - 0s 865us/step - loss: 5.4115
Testing for epoch 31 index 23:
391/391 [==============================] - 0s 670us/step
16/16 [==============================] - 0s 906us/step - loss: 0.0040
16/16 [==============================] - 0s 914us/step - loss: 5.0154
16/16 [==============================] - 0s 904us/step - loss: 5.0157
16/16 [==============================] - 0s 929us/step - loss: 5.4035
16/16 [==============================] - 0s 920us/step - loss: 5.4046
16/16 [==============================] - 0s 899us/step - loss: 5.4046
16/16 [==============================] - 0s 881us/step - loss: 5.4046
16/16 [==============================] - 0s 884us/step - loss: 5.4046
16/16 [==============================] - 0s 930us/step - loss: 5.4046
16/16 [==============================] - 0s 937us/step - loss: 5.4046
Testing for epoch 31 index 24:
391/391 [==============================] - 0s 636us/step
16/16 [==============================] - 0s 891us/step - loss: 0.0037
16/16 [==============================] - 0s 870us/step - loss: 5.0249
16/16 [==============================] - 0s 891us/step - loss: 5.0252
16/16 [==============================] - 0s 888us/step - loss: 5.4131
16/16 [==============================] - 0s 880us/step - loss: 5.4142
16/16 [==============================] - 0s 857us/step - loss: 5.4142
16/16 [==============================] - 0s 844us/step - loss: 5.4142
16/16 [==============================] - 0s 881us/step - loss: 5.4142
16/16 [==============================] - 0s 853us/step - loss: 5.4142
16/16 [==============================] - 0s 864us/step - loss: 5.4142
Epoch 32 of 60
Testing for epoch 32 index 1:
391/391 [==============================] - 0s 604us/step
16/16 [==============================] - 0s 832us/step - loss: 0.0037
16/16 [==============================] - 0s 900us/step - loss: 5.0944
16/16 [==============================] - 0s 884us/step - loss: 5.0947
16/16 [==============================] - 0s 925us/step - loss: 5.4751
16/16 [==============================] - 0s 917us/step - loss: 5.4762
16/16 [==============================] - 0s 907us/step - loss: 5.4762
16/16 [==============================] - 0s 922us/step - loss: 5.4762
16/16 [==============================] - 0s 929us/step - loss: 5.4762
16/16 [==============================] - 0s 910us/step - loss: 5.4762
16/16 [==============================] - 0s 911us/step - loss: 5.4762
Testing for epoch 32 index 2:
391/391 [==============================] - 0s 604us/step
16/16 [==============================] - 0s 863us/step - loss: 0.0033
16/16 [==============================] - 0s 858us/step - loss: 5.0400
16/16 [==============================] - 0s 866us/step - loss: 5.0403
16/16 [==============================] - 0s 862us/step - loss: 5.4251
16/16 [==============================] - 0s 860us/step - loss: 5.4262
16/16 [==============================] - 0s 874us/step - loss: 5.4262
16/16 [==============================] - 0s 844us/step - loss: 5.4262
16/16 [==============================] - 0s 931us/step - loss: 5.4262
16/16 [==============================] - 0s 883us/step - loss: 5.4262
16/16 [==============================] - 0s 842us/step - loss: 5.4262
Testing for epoch 32 index 3:
391/391 [==============================] - 0s 633us/step
16/16 [==============================] - 0s 859us/step - loss: 0.0034
16/16 [==============================] - 0s 1ms/step - loss: 5.0175
16/16 [==============================] - 0s 857us/step - loss: 5.0178
16/16 [==============================] - 0s 1ms/step - loss: 5.4025
16/16 [==============================] - 0s 1ms/step - loss: 5.4036
16/16 [==============================] - 0s 1ms/step - loss: 5.4036
16/16 [==============================] - 0s 1ms/step - loss: 5.4036
16/16 [==============================] - 0s 949us/step - loss: 5.4036
16/16 [==============================] - 0s 1ms/step - loss: 5.4036
16/16 [==============================] - 0s 1ms/step - loss: 5.4036
Testing for epoch 32 index 4:
391/391 [==============================] - 0s 639us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0039
16/16 [==============================] - 0s 682us/step - loss: 5.0523
16/16 [==============================] - 0s 793us/step - loss: 5.0525
16/16 [==============================] - 0s 798us/step - loss: 5.4323
16/16 [==============================] - 0s 1ms/step - loss: 5.4334
16/16 [==============================] - 0s 762us/step - loss: 5.4334
16/16 [==============================] - 0s 931us/step - loss: 5.4334
16/16 [==============================] - 0s 936us/step - loss: 5.4334
16/16 [==============================] - 0s 910us/step - loss: 5.4334
16/16 [==============================] - 0s 798us/step - loss: 5.4334
Testing for epoch 32 index 5:
391/391 [==============================] - 0s 735us/step
16/16 [==============================] - 0s 770us/step - loss: 0.0036
16/16 [==============================] - 0s 1ms/step - loss: 5.1095
16/16 [==============================] - 0s 2ms/step - loss: 5.1098
16/16 [==============================] - 0s 2ms/step - loss: 5.4870
16/16 [==============================] - 0s 874us/step - loss: 5.4881
16/16 [==============================] - 0s 2ms/step - loss: 5.4881
16/16 [==============================] - 0s 789us/step - loss: 5.4881
16/16 [==============================] - 0s 1ms/step - loss: 5.4881
16/16 [==============================] - 0s 809us/step - loss: 5.4881
16/16 [==============================] - 0s 2ms/step - loss: 5.4881
Testing for epoch 32 index 6:
391/391 [==============================] - 0s 735us/step
16/16 [==============================] - 0s 906us/step - loss: 0.0034
16/16 [==============================] - 0s 755us/step - loss: 5.0918
16/16 [==============================] - 0s 817us/step - loss: 5.0921
16/16 [==============================] - 0s 815us/step - loss: 5.4724
16/16 [==============================] - 0s 716us/step - loss: 5.4735
16/16 [==============================] - 0s 739us/step - loss: 5.4735
16/16 [==============================] - 0s 722us/step - loss: 5.4735
16/16 [==============================] - 0s 873us/step - loss: 5.4735
16/16 [==============================] - 0s 885us/step - loss: 5.4735
16/16 [==============================] - 0s 929us/step - loss: 5.4735
Testing for epoch 32 index 7:
391/391 [==============================] - 0s 652us/step
16/16 [==============================] - 0s 912us/step - loss: 0.0031
16/16 [==============================] - 0s 903us/step - loss: 5.0698
16/16 [==============================] - 0s 929us/step - loss: 5.0701
16/16 [==============================] - 0s 922us/step - loss: 5.4505
16/16 [==============================] - 0s 889us/step - loss: 5.4516
16/16 [==============================] - 0s 888us/step - loss: 5.4516
16/16 [==============================] - 0s 884us/step - loss: 5.4516
16/16 [==============================] - 0s 866us/step - loss: 5.4516
16/16 [==============================] - 0s 941us/step - loss: 5.4516
16/16 [==============================] - 0s 926us/step - loss: 5.4516
Testing for epoch 32 index 8:
391/391 [==============================] - 0s 633us/step
16/16 [==============================] - 0s 945us/step - loss: 0.0030
16/16 [==============================] - 0s 926us/step - loss: 5.0715
16/16 [==============================] - 0s 940us/step - loss: 5.0718
16/16 [==============================] - 0s 933us/step - loss: 5.4501
16/16 [==============================] - 0s 938us/step - loss: 5.4512
16/16 [==============================] - 0s 908us/step - loss: 5.4512
16/16 [==============================] - 0s 902us/step - loss: 5.4512
16/16 [==============================] - 0s 876us/step - loss: 5.4512
16/16 [==============================] - 0s 959us/step - loss: 5.4512
16/16 [==============================] - 0s 935us/step - loss: 5.4512
Testing for epoch 32 index 9:
391/391 [==============================] - 0s 635us/step
16/16 [==============================] - 0s 919us/step - loss: 0.0030
16/16 [==============================] - 0s 852us/step - loss: 5.1353
16/16 [==============================] - 0s 870us/step - loss: 5.1356
16/16 [==============================] - 0s 880us/step - loss: 5.5097
16/16 [==============================] - 0s 894us/step - loss: 5.5107
16/16 [==============================] - 0s 904us/step - loss: 5.5107
16/16 [==============================] - 0s 878us/step - loss: 5.5107
16/16 [==============================] - 0s 939us/step - loss: 5.5107
16/16 [==============================] - 0s 889us/step - loss: 5.5107
16/16 [==============================] - 0s 907us/step - loss: 5.5107
Testing for epoch 32 index 10:
391/391 [==============================] - 0s 641us/step
16/16 [==============================] - 0s 919us/step - loss: 0.0031
16/16 [==============================] - 0s 918us/step - loss: 5.0857
16/16 [==============================] - 0s 894us/step - loss: 5.0860
16/16 [==============================] - 0s 895us/step - loss: 5.4657
16/16 [==============================] - 0s 904us/step - loss: 5.4668
16/16 [==============================] - 0s 900us/step - loss: 5.4668
16/16 [==============================] - 0s 900us/step - loss: 5.4668
16/16 [==============================] - 0s 905us/step - loss: 5.4668
16/16 [==============================] - 0s 868us/step - loss: 5.4668
16/16 [==============================] - 0s 884us/step - loss: 5.4668
Testing for epoch 32 index 11:
391/391 [==============================] - 0s 689us/step
16/16 [==============================] - 0s 932us/step - loss: 0.0037
16/16 [==============================] - 0s 928us/step - loss: 5.0737
16/16 [==============================] - 0s 928us/step - loss: 5.0740
16/16 [==============================] - 0s 949us/step - loss: 5.4543
16/16 [==============================] - 0s 899us/step - loss: 5.4553
16/16 [==============================] - 0s 908us/step - loss: 5.4553
16/16 [==============================] - 0s 898us/step - loss: 5.4553
16/16 [==============================] - 0s 893us/step - loss: 5.4553
16/16 [==============================] - 0s 903us/step - loss: 5.4553
16/16 [==============================] - 0s 877us/step - loss: 5.4553
Testing for epoch 32 index 12:
391/391 [==============================] - 0s 614us/step
16/16 [==============================] - 0s 952us/step - loss: 0.0037
16/16 [==============================] - 0s 841us/step - loss: 5.0692
16/16 [==============================] - 0s 876us/step - loss: 5.0694
16/16 [==============================] - 0s 866us/step - loss: 5.4520
16/16 [==============================] - 0s 863us/step - loss: 5.4531
16/16 [==============================] - 0s 855us/step - loss: 5.4531
16/16 [==============================] - 0s 969us/step - loss: 5.4531
16/16 [==============================] - 0s 917us/step - loss: 5.4531
16/16 [==============================] - 0s 937us/step - loss: 5.4531
16/16 [==============================] - 0s 959us/step - loss: 5.4531
Testing for epoch 32 index 13:
391/391 [==============================] - 0s 886us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0042
16/16 [==============================] - 0s 777us/step - loss: 5.0091
16/16 [==============================] - 0s 771us/step - loss: 5.0094
16/16 [==============================] - 0s 787us/step - loss: 5.3983
16/16 [==============================] - 0s 2ms/step - loss: 5.3994
16/16 [==============================] - 0s 1ms/step - loss: 5.3994
16/16 [==============================] - 0s 687us/step - loss: 5.3994
16/16 [==============================] - 0s 2ms/step - loss: 5.3994
16/16 [==============================] - 0s 775us/step - loss: 5.3994
16/16 [==============================] - 0s 759us/step - loss: 5.3994
Testing for epoch 32 index 14:
391/391 [==============================] - 0s 829us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0040
16/16 [==============================] - 0s 761us/step - loss: 5.0421
16/16 [==============================] - 0s 1ms/step - loss: 5.0424
16/16 [==============================] - 0s 910us/step - loss: 5.4300
16/16 [==============================] - 0s 905us/step - loss: 5.4311
16/16 [==============================] - 0s 918us/step - loss: 5.4311
16/16 [==============================] - 0s 916us/step - loss: 5.4311
16/16 [==============================] - 0s 913us/step - loss: 5.4311
16/16 [==============================] - 0s 904us/step - loss: 5.4311
16/16 [==============================] - 0s 903us/step - loss: 5.4311
Testing for epoch 32 index 15:
391/391 [==============================] - 0s 596us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0042
16/16 [==============================] - 0s 872us/step - loss: 5.0083
16/16 [==============================] - 0s 922us/step - loss: 5.0085
16/16 [==============================] - 0s 854us/step - loss: 5.3998
16/16 [==============================] - 0s 843us/step - loss: 5.4009
16/16 [==============================] - 0s 925us/step - loss: 5.4009
16/16 [==============================] - 0s 917us/step - loss: 5.4009
16/16 [==============================] - 0s 963us/step - loss: 5.4009
16/16 [==============================] - 0s 927us/step - loss: 5.4009
16/16 [==============================] - 0s 922us/step - loss: 5.4009
Testing for epoch 32 index 16:
391/391 [==============================] - 0s 654us/step
16/16 [==============================] - 0s 921us/step - loss: 0.0042
16/16 [==============================] - 0s 906us/step - loss: 5.0189
16/16 [==============================] - 0s 924us/step - loss: 5.0192
16/16 [==============================] - 0s 919us/step - loss: 5.4121
16/16 [==============================] - 0s 933us/step - loss: 5.4133
16/16 [==============================] - 0s 932us/step - loss: 5.4133
16/16 [==============================] - 0s 910us/step - loss: 5.4133
16/16 [==============================] - 0s 876us/step - loss: 5.4133
16/16 [==============================] - 0s 899us/step - loss: 5.4133
16/16 [==============================] - 0s 901us/step - loss: 5.4133
Testing for epoch 32 index 17:
391/391 [==============================] - 0s 653us/step
16/16 [==============================] - 0s 923us/step - loss: 0.0043
16/16 [==============================] - 0s 904us/step - loss: 5.0400
16/16 [==============================] - 0s 935us/step - loss: 5.0403
16/16 [==============================] - 0s 900us/step - loss: 5.4291
16/16 [==============================] - 0s 956us/step - loss: 5.4302
16/16 [==============================] - 0s 921us/step - loss: 5.4302
16/16 [==============================] - 0s 908us/step - loss: 5.4302
16/16 [==============================] - 0s 892us/step - loss: 5.4302
16/16 [==============================] - 0s 903us/step - loss: 5.4302
16/16 [==============================] - 0s 877us/step - loss: 5.4302
Testing for epoch 32 index 18:
391/391 [==============================] - 0s 638us/step
16/16 [==============================] - 0s 863us/step - loss: 0.0041
16/16 [==============================] - 0s 858us/step - loss: 5.0363
16/16 [==============================] - 0s 912us/step - loss: 5.0366
16/16 [==============================] - 0s 869us/step - loss: 5.4261
16/16 [==============================] - 0s 872us/step - loss: 5.4272
16/16 [==============================] - 0s 876us/step - loss: 5.4272
16/16 [==============================] - 0s 868us/step - loss: 5.4272
16/16 [==============================] - 0s 881us/step - loss: 5.4272
16/16 [==============================] - 0s 887us/step - loss: 5.4272
16/16 [==============================] - 0s 885us/step - loss: 5.4272
Testing for epoch 32 index 19:
391/391 [==============================] - 0s 643us/step
16/16 [==============================] - 0s 907us/step - loss: 0.0042
16/16 [==============================] - 0s 890us/step - loss: 5.0048
16/16 [==============================] - 0s 889us/step - loss: 5.0051
16/16 [==============================] - 0s 911us/step - loss: 5.3996
16/16 [==============================] - 0s 904us/step - loss: 5.4007
16/16 [==============================] - 0s 904us/step - loss: 5.4007
16/16 [==============================] - 0s 880us/step - loss: 5.4007
16/16 [==============================] - 0s 912us/step - loss: 5.4007
16/16 [==============================] - 0s 913us/step - loss: 5.4007
16/16 [==============================] - 0s 892us/step - loss: 5.4007
Testing for epoch 32 index 20:
391/391 [==============================] - 0s 680us/step
16/16 [==============================] - 0s 963us/step - loss: 0.0041
16/16 [==============================] - 0s 913us/step - loss: 4.9931
16/16 [==============================] - 0s 979us/step - loss: 4.9934
16/16 [==============================] - 0s 943us/step - loss: 5.3873
16/16 [==============================] - 0s 928us/step - loss: 5.3884
16/16 [==============================] - 0s 938us/step - loss: 5.3884
16/16 [==============================] - 0s 932us/step - loss: 5.3884
16/16 [==============================] - 0s 908us/step - loss: 5.3884
16/16 [==============================] - 0s 926us/step - loss: 5.3884
16/16 [==============================] - 0s 931us/step - loss: 5.3884
Testing for epoch 32 index 21:
391/391 [==============================] - 0s 856us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0035
16/16 [==============================] - 0s 778us/step - loss: 5.0216
16/16 [==============================] - 0s 798us/step - loss: 5.0219
16/16 [==============================] - 0s 751us/step - loss: 5.4141
16/16 [==============================] - 0s 790us/step - loss: 5.4152
16/16 [==============================] - 0s 834us/step - loss: 5.4152
16/16 [==============================] - 0s 764us/step - loss: 5.4152
16/16 [==============================] - 0s 761us/step - loss: 5.4152
16/16 [==============================] - 0s 769us/step - loss: 5.4152
16/16 [==============================] - 0s 617us/step - loss: 5.4152
Testing for epoch 32 index 22:
391/391 [==============================] - 0s 954us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0039
16/16 [==============================] - 0s 2ms/step - loss: 5.0627
16/16 [==============================] - 0s 2ms/step - loss: 5.0629
16/16 [==============================] - 0s 773us/step - loss: 5.4517
16/16 [==============================] - 0s 774us/step - loss: 5.4528
16/16 [==============================] - 0s 2ms/step - loss: 5.4528
16/16 [==============================] - 0s 1ms/step - loss: 5.4528
16/16 [==============================] - 0s 855us/step - loss: 5.4528
16/16 [==============================] - 0s 973us/step - loss: 5.4528
16/16 [==============================] - 0s 925us/step - loss: 5.4528
Testing for epoch 32 index 23:
391/391 [==============================] - 0s 619us/step
16/16 [==============================] - 0s 886us/step - loss: 0.0040
16/16 [==============================] - 0s 903us/step - loss: 5.0166
16/16 [==============================] - 0s 904us/step - loss: 5.0168
16/16 [==============================] - 0s 845us/step - loss: 5.4091
16/16 [==============================] - 0s 918us/step - loss: 5.4103
16/16 [==============================] - 0s 947us/step - loss: 5.4103
16/16 [==============================] - 0s 914us/step - loss: 5.4103
16/16 [==============================] - 0s 1ms/step - loss: 5.4103
16/16 [==============================] - 0s 843us/step - loss: 5.4103
16/16 [==============================] - 0s 844us/step - loss: 5.4103
Testing for epoch 32 index 24:
391/391 [==============================] - 0s 664us/step
16/16 [==============================] - 0s 909us/step - loss: 0.0043
16/16 [==============================] - 0s 881us/step - loss: 5.0208
16/16 [==============================] - 0s 886us/step - loss: 5.0211
16/16 [==============================] - 0s 885us/step - loss: 5.4131
16/16 [==============================] - 0s 861us/step - loss: 5.4143
16/16 [==============================] - 0s 891us/step - loss: 5.4143
16/16 [==============================] - 0s 860us/step - loss: 5.4143
16/16 [==============================] - 0s 897us/step - loss: 5.4143
16/16 [==============================] - 0s 866us/step - loss: 5.4143
16/16 [==============================] - 0s 885us/step - loss: 5.4143
Epoch 33 of 60
Testing for epoch 33 index 1:
391/391 [==============================] - 0s 655us/step
16/16 [==============================] - 0s 912us/step - loss: 0.0040
16/16 [==============================] - 0s 926us/step - loss: 5.1051
16/16 [==============================] - 0s 908us/step - loss: 5.1053
16/16 [==============================] - 0s 943us/step - loss: 5.4884
16/16 [==============================] - 0s 960us/step - loss: 5.4895
16/16 [==============================] - 0s 932us/step - loss: 5.4895
16/16 [==============================] - 0s 930us/step - loss: 5.4895
16/16 [==============================] - 0s 932us/step - loss: 5.4895
16/16 [==============================] - 0s 914us/step - loss: 5.4895
16/16 [==============================] - 0s 909us/step - loss: 5.4895
Testing for epoch 33 index 2:
391/391 [==============================] - 0s 677us/step
16/16 [==============================] - 0s 907us/step - loss: 0.0038
16/16 [==============================] - 0s 891us/step - loss: 5.0842
16/16 [==============================] - 0s 864us/step - loss: 5.0845
16/16 [==============================] - 0s 885us/step - loss: 5.4717
16/16 [==============================] - 0s 949us/step - loss: 5.4729
16/16 [==============================] - 0s 882us/step - loss: 5.4729
16/16 [==============================] - 0s 899us/step - loss: 5.4729
16/16 [==============================] - 0s 900us/step - loss: 5.4729
16/16 [==============================] - 0s 884us/step - loss: 5.4729
16/16 [==============================] - 0s 879us/step - loss: 5.4729
Testing for epoch 33 index 3:
391/391 [==============================] - 0s 667us/step
16/16 [==============================] - 0s 956us/step - loss: 0.0039
16/16 [==============================] - 0s 895us/step - loss: 5.1186
16/16 [==============================] - 0s 935us/step - loss: 5.1189
16/16 [==============================] - 0s 926us/step - loss: 5.5018
16/16 [==============================] - 0s 925us/step - loss: 5.5029
16/16 [==============================] - 0s 921us/step - loss: 5.5029
16/16 [==============================] - 0s 939us/step - loss: 5.5029
16/16 [==============================] - 0s 914us/step - loss: 5.5029
16/16 [==============================] - 0s 940us/step - loss: 5.5029
16/16 [==============================] - 0s 897us/step - loss: 5.5029
Testing for epoch 33 index 4:
391/391 [==============================] - 0s 675us/step
16/16 [==============================] - 0s 910us/step - loss: 0.0035
16/16 [==============================] - 0s 892us/step - loss: 5.1270
16/16 [==============================] - 0s 904us/step - loss: 5.1273
16/16 [==============================] - 0s 908us/step - loss: 5.5075
16/16 [==============================] - 0s 851us/step - loss: 5.5086
16/16 [==============================] - 0s 862us/step - loss: 5.5086
16/16 [==============================] - 0s 923us/step - loss: 5.5086
16/16 [==============================] - 0s 917us/step - loss: 5.5086
16/16 [==============================] - 0s 941us/step - loss: 5.5086
16/16 [==============================] - 0s 921us/step - loss: 5.5086
Testing for epoch 33 index 5:
391/391 [==============================] - 0s 625us/step
16/16 [==============================] - 0s 672us/step - loss: 0.0036
16/16 [==============================] - 0s 2ms/step - loss: 5.1427
16/16 [==============================] - 0s 2ms/step - loss: 5.1430
16/16 [==============================] - 0s 774us/step - loss: 5.5224
16/16 [==============================] - 0s 775us/step - loss: 5.5235
16/16 [==============================] - 0s 763us/step - loss: 5.5235
16/16 [==============================] - 0s 2ms/step - loss: 5.5235
16/16 [==============================] - 0s 2ms/step - loss: 5.5235
16/16 [==============================] - 0s 2ms/step - loss: 5.5235
16/16 [==============================] - 0s 2ms/step - loss: 5.5235
Testing for epoch 33 index 6:
391/391 [==============================] - 0s 683us/step
16/16 [==============================] - 0s 781us/step - loss: 0.0037
16/16 [==============================] - 0s 2ms/step - loss: 5.1995
16/16 [==============================] - 0s 2ms/step - loss: 5.1998
16/16 [==============================] - 0s 2ms/step - loss: 5.5734
16/16 [==============================] - 0s 1ms/step - loss: 5.5745
16/16 [==============================] - 0s 876us/step - loss: 5.5745
16/16 [==============================] - 0s 2ms/step - loss: 5.5745
16/16 [==============================] - 0s 811us/step - loss: 5.5745
16/16 [==============================] - 0s 2ms/step - loss: 5.5745
16/16 [==============================] - 0s 2ms/step - loss: 5.5745
Testing for epoch 33 index 7:
391/391 [==============================] - 0s 617us/step
16/16 [==============================] - 0s 848us/step - loss: 0.0032
16/16 [==============================] - 0s 854us/step - loss: 5.1523
16/16 [==============================] - 0s 888us/step - loss: 5.1526
16/16 [==============================] - 0s 830us/step - loss: 5.5310
16/16 [==============================] - 0s 824us/step - loss: 5.5321
16/16 [==============================] - 0s 840us/step - loss: 5.5321
16/16 [==============================] - 0s 842us/step - loss: 5.5321
16/16 [==============================] - 0s 831us/step - loss: 5.5321
16/16 [==============================] - 0s 828us/step - loss: 5.5321
16/16 [==============================] - 0s 828us/step - loss: 5.5321
Testing for epoch 33 index 8:
391/391 [==============================] - 0s 626us/step
16/16 [==============================] - 0s 914us/step - loss: 0.0033
16/16 [==============================] - 0s 878us/step - loss: 5.1870
16/16 [==============================] - 0s 905us/step - loss: 5.1873
16/16 [==============================] - 0s 905us/step - loss: 5.5616
16/16 [==============================] - 0s 905us/step - loss: 5.5626
16/16 [==============================] - 0s 933us/step - loss: 5.5626
16/16 [==============================] - 0s 903us/step - loss: 5.5626
16/16 [==============================] - 0s 894us/step - loss: 5.5626
16/16 [==============================] - 0s 899us/step - loss: 5.5626
16/16 [==============================] - 0s 880us/step - loss: 5.5626
Testing for epoch 33 index 9:
391/391 [==============================] - 0s 631us/step
16/16 [==============================] - 0s 869us/step - loss: 0.0037
16/16 [==============================] - 0s 881us/step - loss: 5.2072
16/16 [==============================] - 0s 885us/step - loss: 5.2075
16/16 [==============================] - 0s 895us/step - loss: 5.5808
16/16 [==============================] - 0s 943us/step - loss: 5.5819
16/16 [==============================] - 0s 904us/step - loss: 5.5819
16/16 [==============================] - 0s 927us/step - loss: 5.5819
16/16 [==============================] - 0s 930us/step - loss: 5.5819
16/16 [==============================] - 0s 921us/step - loss: 5.5819
16/16 [==============================] - 0s 884us/step - loss: 5.5819
Testing for epoch 33 index 10:
391/391 [==============================] - 0s 632us/step
16/16 [==============================] - 0s 894us/step - loss: 0.0033
16/16 [==============================] - 0s 879us/step - loss: 5.1693
16/16 [==============================] - 0s 874us/step - loss: 5.1695
16/16 [==============================] - 0s 906us/step - loss: 5.5473
16/16 [==============================] - 0s 860us/step - loss: 5.5483
16/16 [==============================] - 0s 875us/step - loss: 5.5483
16/16 [==============================] - 0s 866us/step - loss: 5.5483
16/16 [==============================] - 0s 924us/step - loss: 5.5483
16/16 [==============================] - 0s 939us/step - loss: 5.5483
16/16 [==============================] - 0s 911us/step - loss: 5.5483
Testing for epoch 33 index 11:
391/391 [==============================] - 0s 662us/step
16/16 [==============================] - 0s 890us/step - loss: 0.0031
16/16 [==============================] - 0s 892us/step - loss: 5.0956
16/16 [==============================] - 0s 907us/step - loss: 5.0958
16/16 [==============================] - 0s 898us/step - loss: 5.4831
16/16 [==============================] - 0s 893us/step - loss: 5.4842
16/16 [==============================] - 0s 922us/step - loss: 5.4842
16/16 [==============================] - 0s 940us/step - loss: 5.4842
16/16 [==============================] - 0s 927us/step - loss: 5.4842
16/16 [==============================] - 0s 936us/step - loss: 5.4842
16/16 [==============================] - 0s 965us/step - loss: 5.4842
Testing for epoch 33 index 12:
391/391 [==============================] - 0s 672us/step
16/16 [==============================] - 0s 890us/step - loss: 0.0036
16/16 [==============================] - 0s 900us/step - loss: 5.1193
16/16 [==============================] - 0s 946us/step - loss: 5.1196
16/16 [==============================] - 0s 911us/step - loss: 5.5051
16/16 [==============================] - 0s 931us/step - loss: 5.5062
16/16 [==============================] - 0s 935us/step - loss: 5.5062
16/16 [==============================] - 0s 925us/step - loss: 5.5062
16/16 [==============================] - 0s 938us/step - loss: 5.5062
16/16 [==============================] - 0s 951us/step - loss: 5.5062
16/16 [==============================] - 0s 876us/step - loss: 5.5062
Testing for epoch 33 index 13:
391/391 [==============================] - 0s 662us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0039
16/16 [==============================] - 0s 941us/step - loss: 5.1050
16/16 [==============================] - 0s 938us/step - loss: 5.1052
16/16 [==============================] - 0s 895us/step - loss: 5.4916
16/16 [==============================] - 0s 826us/step - loss: 5.4927
16/16 [==============================] - 0s 912us/step - loss: 5.4927
16/16 [==============================] - 0s 886us/step - loss: 5.4927
16/16 [==============================] - 0s 649us/step - loss: 5.4927
16/16 [==============================] - 0s 2ms/step - loss: 5.4927
16/16 [==============================] - 0s 804us/step - loss: 5.4927
Testing for epoch 33 index 14:
391/391 [==============================] - 0s 696us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0039
16/16 [==============================] - 0s 1ms/step - loss: 5.0968
16/16 [==============================] - 0s 689us/step - loss: 5.0971
16/16 [==============================] - 0s 774us/step - loss: 5.4853
16/16 [==============================] - 0s 764us/step - loss: 5.4864
16/16 [==============================] - 0s 806us/step - loss: 5.4864
16/16 [==============================] - 0s 2ms/step - loss: 5.4864
16/16 [==============================] - 0s 2ms/step - loss: 5.4864
16/16 [==============================] - 0s 805us/step - loss: 5.4864
16/16 [==============================] - 0s 984us/step - loss: 5.4864
Testing for epoch 33 index 15:
391/391 [==============================] - 0s 780us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0038
16/16 [==============================] - 0s 755us/step - loss: 5.0582
16/16 [==============================] - 0s 834us/step - loss: 5.0585
16/16 [==============================] - 0s 861us/step - loss: 5.4500
16/16 [==============================] - 0s 858us/step - loss: 5.4511
16/16 [==============================] - 0s 871us/step - loss: 5.4511
16/16 [==============================] - 0s 860us/step - loss: 5.4511
16/16 [==============================] - 0s 886us/step - loss: 5.4511
16/16 [==============================] - 0s 854us/step - loss: 5.4511
16/16 [==============================] - 0s 916us/step - loss: 5.4511
Testing for epoch 33 index 16:
391/391 [==============================] - 0s 600us/step
16/16 [==============================] - 0s 852us/step - loss: 0.0038
16/16 [==============================] - 0s 852us/step - loss: 5.0006
16/16 [==============================] - 0s 843us/step - loss: 5.0009
16/16 [==============================] - 0s 848us/step - loss: 5.3994
16/16 [==============================] - 0s 851us/step - loss: 5.4005
16/16 [==============================] - 0s 847us/step - loss: 5.4005
16/16 [==============================] - 0s 847us/step - loss: 5.4005
16/16 [==============================] - 0s 853us/step - loss: 5.4005
16/16 [==============================] - 0s 890us/step - loss: 5.4005
16/16 [==============================] - 0s 883us/step - loss: 5.4005
Testing for epoch 33 index 17:
391/391 [==============================] - 0s 618us/step
16/16 [==============================] - 0s 886us/step - loss: 0.0042
16/16 [==============================] - 0s 868us/step - loss: 5.0322
16/16 [==============================] - 0s 841us/step - loss: 5.0325
16/16 [==============================] - 0s 824us/step - loss: 5.4265
16/16 [==============================] - 0s 879us/step - loss: 5.4276
16/16 [==============================] - 0s 893us/step - loss: 5.4276
16/16 [==============================] - 0s 879us/step - loss: 5.4276
16/16 [==============================] - 0s 894us/step - loss: 5.4276
16/16 [==============================] - 0s 902us/step - loss: 5.4276
16/16 [==============================] - 0s 896us/step - loss: 5.4276
Testing for epoch 33 index 18:
391/391 [==============================] - 0s 636us/step
16/16 [==============================] - 0s 906us/step - loss: 0.0043
16/16 [==============================] - 0s 882us/step - loss: 5.0743
16/16 [==============================] - 0s 940us/step - loss: 5.0745
16/16 [==============================] - 0s 893us/step - loss: 5.4673
16/16 [==============================] - 0s 891us/step - loss: 5.4684
16/16 [==============================] - 0s 908us/step - loss: 5.4684
16/16 [==============================] - 0s 875us/step - loss: 5.4684
16/16 [==============================] - 0s 885us/step - loss: 5.4684
16/16 [==============================] - 0s 888us/step - loss: 5.4684
16/16 [==============================] - 0s 860us/step - loss: 5.4684
Testing for epoch 33 index 19:
391/391 [==============================] - 0s 606us/step
16/16 [==============================] - 0s 860us/step - loss: 0.0040
16/16 [==============================] - 0s 852us/step - loss: 5.0430
16/16 [==============================] - 0s 885us/step - loss: 5.0433
16/16 [==============================] - 0s 843us/step - loss: 5.4392
16/16 [==============================] - 0s 855us/step - loss: 5.4403
16/16 [==============================] - 0s 844us/step - loss: 5.4403
16/16 [==============================] - 0s 851us/step - loss: 5.4403
16/16 [==============================] - 0s 853us/step - loss: 5.4403
16/16 [==============================] - 0s 875us/step - loss: 5.4403
16/16 [==============================] - 0s 847us/step - loss: 5.4403
Testing for epoch 33 index 20:
391/391 [==============================] - 0s 707us/step
16/16 [==============================] - 0s 971us/step - loss: 0.0042
16/16 [==============================] - 0s 968us/step - loss: 5.0666
16/16 [==============================] - 0s 901us/step - loss: 5.0669
16/16 [==============================] - 0s 886us/step - loss: 5.4589
16/16 [==============================] - 0s 870us/step - loss: 5.4600
16/16 [==============================] - 0s 860us/step - loss: 5.4600
16/16 [==============================] - 0s 857us/step - loss: 5.4600
16/16 [==============================] - 0s 870us/step - loss: 5.4600
16/16 [==============================] - 0s 860us/step - loss: 5.4600
16/16 [==============================] - 0s 842us/step - loss: 5.4600
Testing for epoch 33 index 21:
391/391 [==============================] - 0s 644us/step
16/16 [==============================] - 0s 886us/step - loss: 0.0048
16/16 [==============================] - 0s 858us/step - loss: 5.0766
16/16 [==============================] - 0s 873us/step - loss: 5.0768
16/16 [==============================] - 0s 877us/step - loss: 5.4688
16/16 [==============================] - 0s 893us/step - loss: 5.4699
16/16 [==============================] - 0s 956us/step - loss: 5.4699
16/16 [==============================] - 0s 955us/step - loss: 5.4699
16/16 [==============================] - 0s 921us/step - loss: 5.4699
16/16 [==============================] - 0s 885us/step - loss: 5.4699
16/16 [==============================] - 0s 847us/step - loss: 5.4699
Testing for epoch 33 index 22:
391/391 [==============================] - 0s 704us/step
16/16 [==============================] - 0s 928us/step - loss: 0.0043
16/16 [==============================] - 0s 912us/step - loss: 5.0861
16/16 [==============================] - 0s 908us/step - loss: 5.0863
16/16 [==============================] - 0s 653us/step - loss: 5.4772
16/16 [==============================] - 0s 2ms/step - loss: 5.4783
16/16 [==============================] - 0s 2ms/step - loss: 5.4783
16/16 [==============================] - 0s 703us/step - loss: 5.4783
16/16 [==============================] - 0s 697us/step - loss: 5.4783
16/16 [==============================] - 0s 707us/step - loss: 5.4783
16/16 [==============================] - 0s 2ms/step - loss: 5.4783
Testing for epoch 33 index 23:
391/391 [==============================] - 0s 570us/step
16/16 [==============================] - 0s 837us/step - loss: 0.0048
16/16 [==============================] - 0s 802us/step - loss: 5.1277
16/16 [==============================] - 0s 790us/step - loss: 5.1280
16/16 [==============================] - 0s 978us/step - loss: 5.5173
16/16 [==============================] - 0s 2ms/step - loss: 5.5185
16/16 [==============================] - 0s 2ms/step - loss: 5.5185
16/16 [==============================] - 0s 832us/step - loss: 5.5185
16/16 [==============================] - 0s 958us/step - loss: 5.5185
16/16 [==============================] - 0s 804us/step - loss: 5.5185
16/16 [==============================] - 0s 828us/step - loss: 5.5185
Testing for epoch 33 index 24:
391/391 [==============================] - 0s 756us/step
16/16 [==============================] - 0s 883us/step - loss: 0.0042
16/16 [==============================] - 0s 871us/step - loss: 5.1430
16/16 [==============================] - 0s 851us/step - loss: 5.1432
16/16 [==============================] - 0s 931us/step - loss: 5.5293
16/16 [==============================] - 0s 854us/step - loss: 5.5304
16/16 [==============================] - 0s 930us/step - loss: 5.5304
16/16 [==============================] - 0s 857us/step - loss: 5.5304
16/16 [==============================] - 0s 906us/step - loss: 5.5304
16/16 [==============================] - 0s 907us/step - loss: 5.5304
16/16 [==============================] - 0s 843us/step - loss: 5.5304
Epoch 34 of 60
Testing for epoch 34 index 1:
391/391 [==============================] - 0s 616us/step
16/16 [==============================] - 0s 851us/step - loss: 0.0043
16/16 [==============================] - 0s 871us/step - loss: 5.1314
16/16 [==============================] - 0s 844us/step - loss: 5.1317
16/16 [==============================] - 0s 856us/step - loss: 5.5177
16/16 [==============================] - 0s 843us/step - loss: 5.5188
16/16 [==============================] - 0s 865us/step - loss: 5.5188
16/16 [==============================] - 0s 845us/step - loss: 5.5188
16/16 [==============================] - 0s 891us/step - loss: 5.5188
16/16 [==============================] - 0s 891us/step - loss: 5.5188
16/16 [==============================] - 0s 913us/step - loss: 5.5188
Testing for epoch 34 index 2:
391/391 [==============================] - 0s 689us/step
16/16 [==============================] - 0s 993us/step - loss: 0.0037
16/16 [==============================] - 0s 1ms/step - loss: 5.1465
16/16 [==============================] - 0s 1ms/step - loss: 5.1467
16/16 [==============================] - 0s 1ms/step - loss: 5.5313
16/16 [==============================] - 0s 1ms/step - loss: 5.5324
16/16 [==============================] - 0s 1ms/step - loss: 5.5324
16/16 [==============================] - 0s 991us/step - loss: 5.5324
16/16 [==============================] - 0s 1ms/step - loss: 5.5324
16/16 [==============================] - 0s 988us/step - loss: 5.5324
16/16 [==============================] - 0s 1ms/step - loss: 5.5324
Testing for epoch 34 index 3:
391/391 [==============================] - 0s 627us/step
16/16 [==============================] - 0s 917us/step - loss: 0.0037
16/16 [==============================] - 0s 11ms/step - loss: 5.1429
16/16 [==============================] - 0s 3ms/step - loss: 5.1432
16/16 [==============================] - 0s 2ms/step - loss: 5.5281
16/16 [==============================] - 0s 2ms/step - loss: 5.5292
16/16 [==============================] - 0s 4ms/step - loss: 5.5292
16/16 [==============================] - 0s 2ms/step - loss: 5.5292
16/16 [==============================] - 0s 5ms/step - loss: 5.5292
16/16 [==============================] - 0s 4ms/step - loss: 5.5292
16/16 [==============================] - 0s 5ms/step - loss: 5.5292
Testing for epoch 34 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0036
16/16 [==============================] - 0s 2ms/step - loss: 5.2030
16/16 [==============================] - 0s 1ms/step - loss: 5.2033
16/16 [==============================] - 0s 4ms/step - loss: 5.5839
16/16 [==============================] - 0s 2ms/step - loss: 5.5850
16/16 [==============================] - 0s 2ms/step - loss: 5.5850
16/16 [==============================] - 0s 2ms/step - loss: 5.5850
16/16 [==============================] - 0s 2ms/step - loss: 5.5850
16/16 [==============================] - 0s 2ms/step - loss: 5.5850
16/16 [==============================] - 0s 2ms/step - loss: 5.5850
Testing for epoch 34 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.0036
16/16 [==============================] - 0s 3ms/step - loss: 5.2007
16/16 [==============================] - 0s 2ms/step - loss: 5.2010
16/16 [==============================] - 0s 5ms/step - loss: 5.5812
16/16 [==============================] - 0s 4ms/step - loss: 5.5823
16/16 [==============================] - 0s 5ms/step - loss: 5.5823
16/16 [==============================] - 0s 2ms/step - loss: 5.5823
16/16 [==============================] - 0s 1ms/step - loss: 5.5823
16/16 [==============================] - 0s 1ms/step - loss: 5.5823
16/16 [==============================] - 0s 2ms/step - loss: 5.5823
Testing for epoch 34 index 6:
391/391 [==============================] - 0s 961us/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0030
16/16 [==============================] - 0s 4ms/step - loss: 5.1687
16/16 [==============================] - 0s 4ms/step - loss: 5.1690
16/16 [==============================] - 0s 3ms/step - loss: 5.5517
16/16 [==============================] - 0s 9ms/step - loss: 5.5528
16/16 [==============================] - 0s 2ms/step - loss: 5.5528
16/16 [==============================] - 0s 2ms/step - loss: 5.5528
16/16 [==============================] - 0s 2ms/step - loss: 5.5528
16/16 [==============================] - 0s 2ms/step - loss: 5.5528
16/16 [==============================] - 0s 2ms/step - loss: 5.5528
Testing for epoch 34 index 7:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0030
16/16 [==============================] - 0s 2ms/step - loss: 5.2596
16/16 [==============================] - 0s 2ms/step - loss: 5.2599
16/16 [==============================] - 0s 1ms/step - loss: 5.6327
16/16 [==============================] - 0s 1ms/step - loss: 5.6338
16/16 [==============================] - 0s 5ms/step - loss: 5.6338
16/16 [==============================] - 0s 2ms/step - loss: 5.6338
16/16 [==============================] - 0s 2ms/step - loss: 5.6338
16/16 [==============================] - 0s 2ms/step - loss: 5.6338
16/16 [==============================] - 0s 3ms/step - loss: 5.6338
Testing for epoch 34 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0030
16/16 [==============================] - 0s 2ms/step - loss: 5.2214
16/16 [==============================] - 0s 3ms/step - loss: 5.2217
16/16 [==============================] - 0s 2ms/step - loss: 5.5986
16/16 [==============================] - 0s 2ms/step - loss: 5.5997
16/16 [==============================] - 0s 3ms/step - loss: 5.5997
16/16 [==============================] - 0s 2ms/step - loss: 5.5997
16/16 [==============================] - 0s 4ms/step - loss: 5.5997
16/16 [==============================] - 0s 2ms/step - loss: 5.5997
16/16 [==============================] - 0s 1ms/step - loss: 5.5997
Testing for epoch 34 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0032
16/16 [==============================] - 0s 2ms/step - loss: 5.2985
16/16 [==============================] - 0s 3ms/step - loss: 5.2988
16/16 [==============================] - 0s 2ms/step - loss: 5.6699
16/16 [==============================] - 0s 5ms/step - loss: 5.6710
16/16 [==============================] - 0s 2ms/step - loss: 5.6710
16/16 [==============================] - 0s 2ms/step - loss: 5.6710
16/16 [==============================] - 0s 3ms/step - loss: 5.6710
16/16 [==============================] - 0s 2ms/step - loss: 5.6710
16/16 [==============================] - 0s 1ms/step - loss: 5.6710
Testing for epoch 34 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0031
16/16 [==============================] - 0s 2ms/step - loss: 5.1981
16/16 [==============================] - 0s 3ms/step - loss: 5.1983
16/16 [==============================] - 0s 6ms/step - loss: 5.5782
16/16 [==============================] - 0s 1ms/step - loss: 5.5793
16/16 [==============================] - 0s 6ms/step - loss: 5.5793
16/16 [==============================] - 0s 6ms/step - loss: 5.5793
16/16 [==============================] - 0s 2ms/step - loss: 5.5793
16/16 [==============================] - 0s 4ms/step - loss: 5.5793
16/16 [==============================] - 0s 2ms/step - loss: 5.5793
Testing for epoch 34 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0036
16/16 [==============================] - 0s 2ms/step - loss: 5.1648
16/16 [==============================] - 0s 3ms/step - loss: 5.1651
16/16 [==============================] - 0s 3ms/step - loss: 5.5503
16/16 [==============================] - 0s 2ms/step - loss: 5.5514
16/16 [==============================] - 0s 2ms/step - loss: 5.5514
16/16 [==============================] - 0s 1ms/step - loss: 5.5514
16/16 [==============================] - 0s 1ms/step - loss: 5.5514
16/16 [==============================] - 0s 1ms/step - loss: 5.5514
16/16 [==============================] - 0s 2ms/step - loss: 5.5514
Testing for epoch 34 index 12:
391/391 [==============================] - 0s 561us/step
16/16 [==============================] - 0s 851us/step - loss: 0.0040
16/16 [==============================] - 0s 1ms/step - loss: 5.0803
16/16 [==============================] - 0s 3ms/step - loss: 5.0806
16/16 [==============================] - 0s 1ms/step - loss: 5.4738
16/16 [==============================] - 0s 917us/step - loss: 5.4750
16/16 [==============================] - 0s 877us/step - loss: 5.4750
16/16 [==============================] - 0s 902us/step - loss: 5.4750
16/16 [==============================] - 0s 884us/step - loss: 5.4750
16/16 [==============================] - 0s 880us/step - loss: 5.4750
16/16 [==============================] - 0s 854us/step - loss: 5.4750
Testing for epoch 34 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0038
16/16 [==============================] - 0s 2ms/step - loss: 5.1099
16/16 [==============================] - 0s 1ms/step - loss: 5.1101
16/16 [==============================] - 0s 2ms/step - loss: 5.5011
16/16 [==============================] - 0s 2ms/step - loss: 5.5023
16/16 [==============================] - 0s 1ms/step - loss: 5.5023
16/16 [==============================] - 0s 1ms/step - loss: 5.5023
16/16 [==============================] - 0s 3ms/step - loss: 5.5023
16/16 [==============================] - 0s 2ms/step - loss: 5.5023
16/16 [==============================] - 0s 2ms/step - loss: 5.5023
Testing for epoch 34 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0039
16/16 [==============================] - 0s 2ms/step - loss: 5.1171
16/16 [==============================] - 0s 2ms/step - loss: 5.1174
16/16 [==============================] - 0s 3ms/step - loss: 5.5125
16/16 [==============================] - 0s 1ms/step - loss: 5.5136
16/16 [==============================] - 0s 2ms/step - loss: 5.5136
16/16 [==============================] - 0s 4ms/step - loss: 5.5136
16/16 [==============================] - 0s 3ms/step - loss: 5.5136
16/16 [==============================] - 0s 2ms/step - loss: 5.5136
16/16 [==============================] - 0s 2ms/step - loss: 5.5136
Testing for epoch 34 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0042
16/16 [==============================] - 0s 2ms/step - loss: 5.0741
16/16 [==============================] - 0s 2ms/step - loss: 5.0744
16/16 [==============================] - 0s 2ms/step - loss: 5.4716
16/16 [==============================] - 0s 2ms/step - loss: 5.4728
16/16 [==============================] - 0s 2ms/step - loss: 5.4728
16/16 [==============================] - 0s 2ms/step - loss: 5.4728
16/16 [==============================] - 0s 2ms/step - loss: 5.4728
16/16 [==============================] - 0s 2ms/step - loss: 5.4728
16/16 [==============================] - 0s 1ms/step - loss: 5.4728
Testing for epoch 34 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0045
16/16 [==============================] - 0s 3ms/step - loss: 5.1080
16/16 [==============================] - 0s 2ms/step - loss: 5.1082
16/16 [==============================] - 0s 2ms/step - loss: 5.5019
16/16 [==============================] - 0s 2ms/step - loss: 5.5031
16/16 [==============================] - 0s 2ms/step - loss: 5.5031
16/16 [==============================] - 0s 2ms/step - loss: 5.5031
16/16 [==============================] - 0s 2ms/step - loss: 5.5031
16/16 [==============================] - 0s 2ms/step - loss: 5.5031
16/16 [==============================] - 0s 1ms/step - loss: 5.5031
Testing for epoch 34 index 17:
391/391 [==============================] - 0s 967us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0043
16/16 [==============================] - 0s 3ms/step - loss: 5.0988
16/16 [==============================] - 0s 2ms/step - loss: 5.0991
16/16 [==============================] - 0s 2ms/step - loss: 5.4935
16/16 [==============================] - 0s 2ms/step - loss: 5.4946
16/16 [==============================] - 0s 2ms/step - loss: 5.4946
16/16 [==============================] - 0s 3ms/step - loss: 5.4946
16/16 [==============================] - 0s 3ms/step - loss: 5.4946
16/16 [==============================] - 0s 2ms/step - loss: 5.4946
16/16 [==============================] - 0s 4ms/step - loss: 5.4946
Testing for epoch 34 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0045
16/16 [==============================] - 0s 3ms/step - loss: 5.1042
16/16 [==============================] - 0s 2ms/step - loss: 5.1045
16/16 [==============================] - 0s 2ms/step - loss: 5.4982
16/16 [==============================] - 0s 2ms/step - loss: 5.4993
16/16 [==============================] - 0s 1ms/step - loss: 5.4993
16/16 [==============================] - 0s 2ms/step - loss: 5.4993
16/16 [==============================] - 0s 2ms/step - loss: 5.4993
16/16 [==============================] - 0s 3ms/step - loss: 5.4993
16/16 [==============================] - 0s 2ms/step - loss: 5.4993
Testing for epoch 34 index 19:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0044
16/16 [==============================] - 0s 2ms/step - loss: 5.1307
16/16 [==============================] - 0s 3ms/step - loss: 5.1310
16/16 [==============================] - 0s 2ms/step - loss: 5.5242
16/16 [==============================] - 0s 2ms/step - loss: 5.5254
16/16 [==============================] - 0s 2ms/step - loss: 5.5254
16/16 [==============================] - 0s 2ms/step - loss: 5.5254
16/16 [==============================] - 0s 2ms/step - loss: 5.5254
16/16 [==============================] - 0s 2ms/step - loss: 5.5254
16/16 [==============================] - 0s 2ms/step - loss: 5.5254
Testing for epoch 34 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0048
16/16 [==============================] - 0s 5ms/step - loss: 5.1453
16/16 [==============================] - 0s 1ms/step - loss: 5.1456
16/16 [==============================] - 0s 2ms/step - loss: 5.5352
16/16 [==============================] - 0s 2ms/step - loss: 5.5363
16/16 [==============================] - 0s 2ms/step - loss: 5.5363
16/16 [==============================] - 0s 1ms/step - loss: 5.5363
16/16 [==============================] - 0s 2ms/step - loss: 5.5363
16/16 [==============================] - 0s 2ms/step - loss: 5.5363
16/16 [==============================] - 0s 2ms/step - loss: 5.5363
Testing for epoch 34 index 21:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0046
16/16 [==============================] - 0s 2ms/step - loss: 5.0928
16/16 [==============================] - 0s 4ms/step - loss: 5.0931
16/16 [==============================] - 0s 3ms/step - loss: 5.4911
16/16 [==============================] - 0s 2ms/step - loss: 5.4923
16/16 [==============================] - 0s 2ms/step - loss: 5.4923
16/16 [==============================] - 0s 2ms/step - loss: 5.4923
16/16 [==============================] - 0s 2ms/step - loss: 5.4923
16/16 [==============================] - 0s 2ms/step - loss: 5.4923
16/16 [==============================] - 0s 2ms/step - loss: 5.4923
Testing for epoch 34 index 22:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0048
16/16 [==============================] - 0s 2ms/step - loss: 5.1369
16/16 [==============================] - 0s 3ms/step - loss: 5.1372
16/16 [==============================] - 0s 2ms/step - loss: 5.5283
16/16 [==============================] - 0s 3ms/step - loss: 5.5294
16/16 [==============================] - 0s 2ms/step - loss: 5.5294
16/16 [==============================] - 0s 2ms/step - loss: 5.5294
16/16 [==============================] - 0s 2ms/step - loss: 5.5294
16/16 [==============================] - 0s 2ms/step - loss: 5.5294
16/16 [==============================] - 0s 3ms/step - loss: 5.5294
Testing for epoch 34 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0038
16/16 [==============================] - 0s 2ms/step - loss: 5.1408
16/16 [==============================] - 0s 2ms/step - loss: 5.1411
16/16 [==============================] - 0s 1ms/step - loss: 5.5335
16/16 [==============================] - 0s 3ms/step - loss: 5.5346
16/16 [==============================] - 0s 2ms/step - loss: 5.5346
16/16 [==============================] - 0s 2ms/step - loss: 5.5346
16/16 [==============================] - 0s 2ms/step - loss: 5.5346
16/16 [==============================] - 0s 2ms/step - loss: 5.5346
16/16 [==============================] - 0s 2ms/step - loss: 5.5346
Testing for epoch 34 index 24:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0041
16/16 [==============================] - 0s 3ms/step - loss: 5.1474
16/16 [==============================] - 0s 2ms/step - loss: 5.1477
16/16 [==============================] - 0s 2ms/step - loss: 5.5387
16/16 [==============================] - 0s 3ms/step - loss: 5.5398
16/16 [==============================] - 0s 4ms/step - loss: 5.5398
16/16 [==============================] - 0s 2ms/step - loss: 5.5398
16/16 [==============================] - 0s 2ms/step - loss: 5.5398
16/16 [==============================] - 0s 1ms/step - loss: 5.5398
16/16 [==============================] - 0s 2ms/step - loss: 5.5398
Epoch 35 of 60
Testing for epoch 35 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0037
16/16 [==============================] - 0s 2ms/step - loss: 5.1018
16/16 [==============================] - 0s 2ms/step - loss: 5.1021
16/16 [==============================] - 0s 2ms/step - loss: 5.4957
16/16 [==============================] - 0s 3ms/step - loss: 5.4968
16/16 [==============================] - 0s 2ms/step - loss: 5.4968
16/16 [==============================] - 0s 1ms/step - loss: 5.4968
16/16 [==============================] - 0s 1ms/step - loss: 5.4968
16/16 [==============================] - 0s 1ms/step - loss: 5.4968
16/16 [==============================] - 0s 1ms/step - loss: 5.4968
Testing for epoch 35 index 2:
391/391 [==============================] - 0s 988us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0037
16/16 [==============================] - 0s 2ms/step - loss: 5.1292
16/16 [==============================] - 0s 2ms/step - loss: 5.1295
16/16 [==============================] - 0s 2ms/step - loss: 5.5215
16/16 [==============================] - 0s 2ms/step - loss: 5.5226
16/16 [==============================] - 0s 2ms/step - loss: 5.5226
16/16 [==============================] - 0s 2ms/step - loss: 5.5226
16/16 [==============================] - 0s 2ms/step - loss: 5.5226
16/16 [==============================] - 0s 2ms/step - loss: 5.5226
16/16 [==============================] - 0s 2ms/step - loss: 5.5226
Testing for epoch 35 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0040
16/16 [==============================] - 0s 2ms/step - loss: 5.2224
16/16 [==============================] - 0s 3ms/step - loss: 5.2227
16/16 [==============================] - 0s 5ms/step - loss: 5.6059
16/16 [==============================] - 0s 2ms/step - loss: 5.6070
16/16 [==============================] - 0s 2ms/step - loss: 5.6070
16/16 [==============================] - 0s 3ms/step - loss: 5.6070
16/16 [==============================] - 0s 1ms/step - loss: 5.6070
16/16 [==============================] - 0s 2ms/step - loss: 5.6070
16/16 [==============================] - 0s 2ms/step - loss: 5.6070
Testing for epoch 35 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0036
16/16 [==============================] - 0s 3ms/step - loss: 5.2198
16/16 [==============================] - 0s 3ms/step - loss: 5.2201
16/16 [==============================] - 0s 3ms/step - loss: 5.6026
16/16 [==============================] - 0s 2ms/step - loss: 5.6037
16/16 [==============================] - 0s 2ms/step - loss: 5.6037
16/16 [==============================] - 0s 2ms/step - loss: 5.6037
16/16 [==============================] - 0s 2ms/step - loss: 5.6037
16/16 [==============================] - 0s 2ms/step - loss: 5.6037
16/16 [==============================] - 0s 2ms/step - loss: 5.6037
Testing for epoch 35 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0036
16/16 [==============================] - 0s 2ms/step - loss: 5.2748
16/16 [==============================] - 0s 2ms/step - loss: 5.2751
16/16 [==============================] - 0s 2ms/step - loss: 5.6519
16/16 [==============================] - 0s 2ms/step - loss: 5.6530
16/16 [==============================] - 0s 1ms/step - loss: 5.6530
16/16 [==============================] - 0s 2ms/step - loss: 5.6530
16/16 [==============================] - 0s 2ms/step - loss: 5.6530
16/16 [==============================] - 0s 2ms/step - loss: 5.6530
16/16 [==============================] - 0s 2ms/step - loss: 5.6530
Testing for epoch 35 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0037
16/16 [==============================] - 0s 1ms/step - loss: 5.3099
16/16 [==============================] - 0s 2ms/step - loss: 5.3101
16/16 [==============================] - 0s 2ms/step - loss: 5.6837
16/16 [==============================] - 0s 2ms/step - loss: 5.6848
16/16 [==============================] - 0s 2ms/step - loss: 5.6848
16/16 [==============================] - 0s 3ms/step - loss: 5.6848
16/16 [==============================] - 0s 2ms/step - loss: 5.6848
16/16 [==============================] - 0s 2ms/step - loss: 5.6848
16/16 [==============================] - 0s 1ms/step - loss: 5.6848
Testing for epoch 35 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0032
16/16 [==============================] - 0s 3ms/step - loss: 5.2094
16/16 [==============================] - 0s 1ms/step - loss: 5.2097
16/16 [==============================] - 0s 1ms/step - loss: 5.5912
16/16 [==============================] - 0s 3ms/step - loss: 5.5923
16/16 [==============================] - 0s 2ms/step - loss: 5.5923
16/16 [==============================] - 0s 2ms/step - loss: 5.5923
16/16 [==============================] - 0s 2ms/step - loss: 5.5923
16/16 [==============================] - 0s 2ms/step - loss: 5.5923
16/16 [==============================] - 0s 2ms/step - loss: 5.5923
Testing for epoch 35 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0033
16/16 [==============================] - 0s 2ms/step - loss: 5.2987
16/16 [==============================] - 0s 1ms/step - loss: 5.2989
16/16 [==============================] - 0s 1ms/step - loss: 5.6727
16/16 [==============================] - 0s 2ms/step - loss: 5.6738
16/16 [==============================] - 0s 2ms/step - loss: 5.6738
16/16 [==============================] - 0s 2ms/step - loss: 5.6738
16/16 [==============================] - 0s 2ms/step - loss: 5.6738
16/16 [==============================] - 0s 2ms/step - loss: 5.6738
16/16 [==============================] - 0s 2ms/step - loss: 5.6738
Testing for epoch 35 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0031
16/16 [==============================] - 0s 2ms/step - loss: 5.2803
16/16 [==============================] - 0s 4ms/step - loss: 5.2806
16/16 [==============================] - 0s 2ms/step - loss: 5.6550
16/16 [==============================] - 0s 2ms/step - loss: 5.6561
16/16 [==============================] - 0s 2ms/step - loss: 5.6561
16/16 [==============================] - 0s 2ms/step - loss: 5.6561
16/16 [==============================] - 0s 1ms/step - loss: 5.6561
16/16 [==============================] - 0s 1ms/step - loss: 5.6561
16/16 [==============================] - 0s 1ms/step - loss: 5.6561
Testing for epoch 35 index 10:
391/391 [==============================] - 0s 969us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0037
16/16 [==============================] - 0s 1ms/step - loss: 5.3117
16/16 [==============================] - 0s 3ms/step - loss: 5.3120
16/16 [==============================] - 0s 2ms/step - loss: 5.6855
16/16 [==============================] - 0s 2ms/step - loss: 5.6865
16/16 [==============================] - 0s 3ms/step - loss: 5.6865
16/16 [==============================] - 0s 2ms/step - loss: 5.6865
16/16 [==============================] - 0s 2ms/step - loss: 5.6865
16/16 [==============================] - 0s 2ms/step - loss: 5.6865
16/16 [==============================] - 0s 2ms/step - loss: 5.6865
Testing for epoch 35 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0042
16/16 [==============================] - 0s 4ms/step - loss: 5.2815
16/16 [==============================] - 0s 2ms/step - loss: 5.2818
16/16 [==============================] - 0s 4ms/step - loss: 5.6609
16/16 [==============================] - 0s 2ms/step - loss: 5.6620
16/16 [==============================] - 0s 2ms/step - loss: 5.6620
16/16 [==============================] - 0s 2ms/step - loss: 5.6620
16/16 [==============================] - 0s 2ms/step - loss: 5.6620
16/16 [==============================] - 0s 2ms/step - loss: 5.6620
16/16 [==============================] - 0s 1ms/step - loss: 5.6620
Testing for epoch 35 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0036
16/16 [==============================] - 0s 1ms/step - loss: 5.1691
16/16 [==============================] - 0s 1ms/step - loss: 5.1694
16/16 [==============================] - 0s 2ms/step - loss: 5.5604
16/16 [==============================] - 0s 3ms/step - loss: 5.5616
16/16 [==============================] - 0s 2ms/step - loss: 5.5616
16/16 [==============================] - 0s 1ms/step - loss: 5.5616
16/16 [==============================] - 0s 2ms/step - loss: 5.5616
16/16 [==============================] - 0s 3ms/step - loss: 5.5616
16/16 [==============================] - 0s 2ms/step - loss: 5.5616
Testing for epoch 35 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0036
16/16 [==============================] - 0s 2ms/step - loss: 5.1483
16/16 [==============================] - 0s 3ms/step - loss: 5.1486
16/16 [==============================] - 0s 1ms/step - loss: 5.5406
16/16 [==============================] - 0s 2ms/step - loss: 5.5417
16/16 [==============================] - 0s 2ms/step - loss: 5.5417
16/16 [==============================] - 0s 1ms/step - loss: 5.5417
16/16 [==============================] - 0s 2ms/step - loss: 5.5417
16/16 [==============================] - 0s 5ms/step - loss: 5.5417
16/16 [==============================] - 0s 1ms/step - loss: 5.5417
Testing for epoch 35 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0041
16/16 [==============================] - 0s 2ms/step - loss: 5.1045
16/16 [==============================] - 0s 2ms/step - loss: 5.1048
16/16 [==============================] - 0s 1ms/step - loss: 5.5010
16/16 [==============================] - 0s 3ms/step - loss: 5.5021
16/16 [==============================] - 0s 3ms/step - loss: 5.5021
16/16 [==============================] - 0s 2ms/step - loss: 5.5021
16/16 [==============================] - 0s 3ms/step - loss: 5.5021
16/16 [==============================] - 0s 2ms/step - loss: 5.5021
16/16 [==============================] - 0s 2ms/step - loss: 5.5021
Testing for epoch 35 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0045
16/16 [==============================] - 0s 1ms/step - loss: 5.1899
16/16 [==============================] - 0s 2ms/step - loss: 5.1902
16/16 [==============================] - 0s 1ms/step - loss: 5.5811
16/16 [==============================] - 0s 4ms/step - loss: 5.5822
16/16 [==============================] - 0s 2ms/step - loss: 5.5822
16/16 [==============================] - 0s 2ms/step - loss: 5.5822
16/16 [==============================] - 0s 2ms/step - loss: 5.5822
16/16 [==============================] - 0s 2ms/step - loss: 5.5822
16/16 [==============================] - 0s 2ms/step - loss: 5.5822
Testing for epoch 35 index 16:
391/391 [==============================] - 0s 987us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0046
16/16 [==============================] - 0s 2ms/step - loss: 5.1636
16/16 [==============================] - 0s 1ms/step - loss: 5.1639
16/16 [==============================] - 0s 2ms/step - loss: 5.5574
16/16 [==============================] - 0s 2ms/step - loss: 5.5586
16/16 [==============================] - 0s 3ms/step - loss: 5.5586
16/16 [==============================] - 0s 2ms/step - loss: 5.5586
16/16 [==============================] - 0s 2ms/step - loss: 5.5586
16/16 [==============================] - 0s 2ms/step - loss: 5.5586
16/16 [==============================] - 0s 2ms/step - loss: 5.5586
Testing for epoch 35 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0049
16/16 [==============================] - 0s 2ms/step - loss: 5.0845
16/16 [==============================] - 0s 4ms/step - loss: 5.0848
16/16 [==============================] - 0s 2ms/step - loss: 5.4835
16/16 [==============================] - 0s 2ms/step - loss: 5.4846
16/16 [==============================] - 0s 1ms/step - loss: 5.4846
16/16 [==============================] - 0s 2ms/step - loss: 5.4846
16/16 [==============================] - 0s 2ms/step - loss: 5.4846
16/16 [==============================] - 0s 4ms/step - loss: 5.4846
16/16 [==============================] - 0s 1ms/step - loss: 5.4846
Testing for epoch 35 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0044
16/16 [==============================] - 0s 2ms/step - loss: 5.1642
16/16 [==============================] - 0s 3ms/step - loss: 5.1645
16/16 [==============================] - 0s 1ms/step - loss: 5.5587
16/16 [==============================] - 0s 2ms/step - loss: 5.5599
16/16 [==============================] - 0s 2ms/step - loss: 5.5599
16/16 [==============================] - 0s 2ms/step - loss: 5.5599
16/16 [==============================] - 0s 1ms/step - loss: 5.5599
16/16 [==============================] - 0s 1ms/step - loss: 5.5599
16/16 [==============================] - 0s 3ms/step - loss: 5.5599
Testing for epoch 35 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0046
16/16 [==============================] - 0s 2ms/step - loss: 5.2019
16/16 [==============================] - 0s 2ms/step - loss: 5.2022
16/16 [==============================] - 0s 2ms/step - loss: 5.5945
16/16 [==============================] - 0s 4ms/step - loss: 5.5956
16/16 [==============================] - 0s 2ms/step - loss: 5.5956
16/16 [==============================] - 0s 2ms/step - loss: 5.5956
16/16 [==============================] - 0s 2ms/step - loss: 5.5956
16/16 [==============================] - 0s 2ms/step - loss: 5.5956
16/16 [==============================] - 0s 2ms/step - loss: 5.5956
Testing for epoch 35 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0051
16/16 [==============================] - 0s 2ms/step - loss: 5.1387
16/16 [==============================] - 0s 2ms/step - loss: 5.1390
16/16 [==============================] - 0s 2ms/step - loss: 5.5356
16/16 [==============================] - 0s 2ms/step - loss: 5.5368
16/16 [==============================] - 0s 2ms/step - loss: 5.5368
16/16 [==============================] - 0s 2ms/step - loss: 5.5368
16/16 [==============================] - 0s 2ms/step - loss: 5.5368
16/16 [==============================] - 0s 2ms/step - loss: 5.5368
16/16 [==============================] - 0s 2ms/step - loss: 5.5368
Testing for epoch 35 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0049
16/16 [==============================] - 0s 2ms/step - loss: 5.2111
16/16 [==============================] - 0s 2ms/step - loss: 5.2114
16/16 [==============================] - 0s 2ms/step - loss: 5.6002
16/16 [==============================] - 0s 2ms/step - loss: 5.6014
16/16 [==============================] - 0s 2ms/step - loss: 5.6014
16/16 [==============================] - 0s 2ms/step - loss: 5.6014
16/16 [==============================] - 0s 2ms/step - loss: 5.6014
16/16 [==============================] - 0s 2ms/step - loss: 5.6014
16/16 [==============================] - 0s 3ms/step - loss: 5.6014
Testing for epoch 35 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0047
16/16 [==============================] - 0s 2ms/step - loss: 5.1603
16/16 [==============================] - 0s 2ms/step - loss: 5.1606
16/16 [==============================] - 0s 2ms/step - loss: 5.5549
16/16 [==============================] - 0s 2ms/step - loss: 5.5560
16/16 [==============================] - 0s 2ms/step - loss: 5.5560
16/16 [==============================] - 0s 2ms/step - loss: 5.5560
16/16 [==============================] - 0s 2ms/step - loss: 5.5560
16/16 [==============================] - 0s 2ms/step - loss: 5.5560
16/16 [==============================] - 0s 2ms/step - loss: 5.5560
Testing for epoch 35 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0048
16/16 [==============================] - 0s 2ms/step - loss: 5.2077
16/16 [==============================] - 0s 2ms/step - loss: 5.2080
16/16 [==============================] - 0s 3ms/step - loss: 5.6009
16/16 [==============================] - 0s 4ms/step - loss: 5.6021
16/16 [==============================] - 0s 3ms/step - loss: 5.6021
16/16 [==============================] - 0s 2ms/step - loss: 5.6021
16/16 [==============================] - 0s 2ms/step - loss: 5.6021
16/16 [==============================] - 0s 2ms/step - loss: 5.6021
16/16 [==============================] - 0s 2ms/step - loss: 5.6021
Testing for epoch 35 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0047
16/16 [==============================] - 0s 2ms/step - loss: 5.1479
16/16 [==============================] - 0s 1ms/step - loss: 5.1481
16/16 [==============================] - 0s 3ms/step - loss: 5.5449
16/16 [==============================] - 0s 2ms/step - loss: 5.5460
16/16 [==============================] - 0s 2ms/step - loss: 5.5460
16/16 [==============================] - 0s 4ms/step - loss: 5.5460
16/16 [==============================] - 0s 4ms/step - loss: 5.5460
16/16 [==============================] - 0s 2ms/step - loss: 5.5460
16/16 [==============================] - 0s 2ms/step - loss: 5.5460
Epoch 36 of 60
Testing for epoch 36 index 1:
391/391 [==============================] - 0s 992us/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0044
16/16 [==============================] - 0s 1ms/step - loss: 5.1958
16/16 [==============================] - 0s 1ms/step - loss: 5.1961
16/16 [==============================] - 0s 2ms/step - loss: 5.5883
16/16 [==============================] - 0s 2ms/step - loss: 5.5895
16/16 [==============================] - 0s 2ms/step - loss: 5.5895
16/16 [==============================] - 0s 2ms/step - loss: 5.5895
16/16 [==============================] - 0s 1ms/step - loss: 5.5895
16/16 [==============================] - 0s 3ms/step - loss: 5.5895
16/16 [==============================] - 0s 2ms/step - loss: 5.5895
Testing for epoch 36 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0043
16/16 [==============================] - 0s 1ms/step - loss: 5.1905
16/16 [==============================] - 0s 1ms/step - loss: 5.1907
16/16 [==============================] - 0s 1ms/step - loss: 5.5819
16/16 [==============================] - 0s 1ms/step - loss: 5.5830
16/16 [==============================] - 0s 1ms/step - loss: 5.5830
16/16 [==============================] - 0s 2ms/step - loss: 5.5830
16/16 [==============================] - 0s 1ms/step - loss: 5.5830
16/16 [==============================] - 0s 3ms/step - loss: 5.5830
16/16 [==============================] - 0s 2ms/step - loss: 5.5830
Testing for epoch 36 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0041
16/16 [==============================] - 0s 2ms/step - loss: 5.2484
16/16 [==============================] - 0s 4ms/step - loss: 5.2486
16/16 [==============================] - 0s 2ms/step - loss: 5.6346
16/16 [==============================] - 0s 2ms/step - loss: 5.6357
16/16 [==============================] - 0s 1ms/step - loss: 5.6357
16/16 [==============================] - 0s 2ms/step - loss: 5.6357
16/16 [==============================] - 0s 1ms/step - loss: 5.6357
16/16 [==============================] - 0s 2ms/step - loss: 5.6357
16/16 [==============================] - 0s 2ms/step - loss: 5.6357
Testing for epoch 36 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0038
16/16 [==============================] - 0s 2ms/step - loss: 5.2164
16/16 [==============================] - 0s 4ms/step - loss: 5.2167
16/16 [==============================] - 0s 2ms/step - loss: 5.6083
16/16 [==============================] - 0s 3ms/step - loss: 5.6095
16/16 [==============================] - 0s 2ms/step - loss: 5.6095
16/16 [==============================] - 0s 1ms/step - loss: 5.6095
16/16 [==============================] - 0s 2ms/step - loss: 5.6095
16/16 [==============================] - 0s 2ms/step - loss: 5.6095
16/16 [==============================] - 0s 3ms/step - loss: 5.6095
Testing for epoch 36 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0034
16/16 [==============================] - 0s 1ms/step - loss: 5.2337
16/16 [==============================] - 0s 2ms/step - loss: 5.2340
16/16 [==============================] - 0s 3ms/step - loss: 5.6202
16/16 [==============================] - 0s 2ms/step - loss: 5.6213
16/16 [==============================] - 0s 4ms/step - loss: 5.6213
16/16 [==============================] - 0s 2ms/step - loss: 5.6213
16/16 [==============================] - 0s 2ms/step - loss: 5.6213
16/16 [==============================] - 0s 2ms/step - loss: 5.6213
16/16 [==============================] - 0s 2ms/step - loss: 5.6213
Testing for epoch 36 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0037
16/16 [==============================] - 0s 4ms/step - loss: 5.2283
16/16 [==============================] - 0s 2ms/step - loss: 5.2286
16/16 [==============================] - 0s 4ms/step - loss: 5.6135
16/16 [==============================] - 0s 3ms/step - loss: 5.6146
16/16 [==============================] - 0s 2ms/step - loss: 5.6146
16/16 [==============================] - 0s 2ms/step - loss: 5.6146
16/16 [==============================] - 0s 2ms/step - loss: 5.6146
16/16 [==============================] - 0s 3ms/step - loss: 5.6146
16/16 [==============================] - 0s 2ms/step - loss: 5.6146
Testing for epoch 36 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0033
16/16 [==============================] - 0s 2ms/step - loss: 5.3007
16/16 [==============================] - 0s 5ms/step - loss: 5.3010
16/16 [==============================] - 0s 2ms/step - loss: 5.6787
16/16 [==============================] - 0s 2ms/step - loss: 5.6798
16/16 [==============================] - 0s 2ms/step - loss: 5.6798
16/16 [==============================] - 0s 3ms/step - loss: 5.6798
16/16 [==============================] - 0s 3ms/step - loss: 5.6798
16/16 [==============================] - 0s 3ms/step - loss: 5.6798
16/16 [==============================] - 0s 2ms/step - loss: 5.6798
Testing for epoch 36 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0032
16/16 [==============================] - 0s 3ms/step - loss: 5.3333
16/16 [==============================] - 0s 2ms/step - loss: 5.3335
16/16 [==============================] - 0s 2ms/step - loss: 5.7093
16/16 [==============================] - 0s 2ms/step - loss: 5.7104
16/16 [==============================] - 0s 6ms/step - loss: 5.7104
16/16 [==============================] - 0s 1ms/step - loss: 5.7104
16/16 [==============================] - 0s 4ms/step - loss: 5.7104
16/16 [==============================] - 0s 3ms/step - loss: 5.7104
16/16 [==============================] - 0s 1ms/step - loss: 5.7104
Testing for epoch 36 index 9:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0035
16/16 [==============================] - 0s 2ms/step - loss: 5.3853
16/16 [==============================] - 0s 3ms/step - loss: 5.3856
16/16 [==============================] - 0s 2ms/step - loss: 5.7582
16/16 [==============================] - 0s 3ms/step - loss: 5.7592
16/16 [==============================] - 0s 3ms/step - loss: 5.7592
16/16 [==============================] - 0s 2ms/step - loss: 5.7592
16/16 [==============================] - 0s 1ms/step - loss: 5.7592
16/16 [==============================] - 0s 3ms/step - loss: 5.7592
16/16 [==============================] - 0s 3ms/step - loss: 5.7592
Testing for epoch 36 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0034
16/16 [==============================] - 0s 2ms/step - loss: 5.3235
16/16 [==============================] - 0s 2ms/step - loss: 5.3238
16/16 [==============================] - 0s 2ms/step - loss: 5.7020
16/16 [==============================] - 0s 5ms/step - loss: 5.7031
16/16 [==============================] - 0s 4ms/step - loss: 5.7031
16/16 [==============================] - 0s 2ms/step - loss: 5.7031
16/16 [==============================] - 0s 3ms/step - loss: 5.7031
16/16 [==============================] - 0s 4ms/step - loss: 5.7031
16/16 [==============================] - 0s 1ms/step - loss: 5.7031
Testing for epoch 36 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0039
16/16 [==============================] - 0s 2ms/step - loss: 5.2989
16/16 [==============================] - 0s 2ms/step - loss: 5.2992
16/16 [==============================] - 0s 2ms/step - loss: 5.6815
16/16 [==============================] - 0s 3ms/step - loss: 5.6826
16/16 [==============================] - 0s 3ms/step - loss: 5.6826
16/16 [==============================] - 0s 3ms/step - loss: 5.6826
16/16 [==============================] - 0s 3ms/step - loss: 5.6826
16/16 [==============================] - 0s 3ms/step - loss: 5.6826
16/16 [==============================] - 0s 2ms/step - loss: 5.6826
Testing for epoch 36 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0038
16/16 [==============================] - 0s 2ms/step - loss: 5.2038
16/16 [==============================] - 0s 2ms/step - loss: 5.2041
16/16 [==============================] - 0s 2ms/step - loss: 5.5978
16/16 [==============================] - 0s 2ms/step - loss: 5.5989
16/16 [==============================] - 0s 1ms/step - loss: 5.5989
16/16 [==============================] - 0s 2ms/step - loss: 5.5989
16/16 [==============================] - 0s 2ms/step - loss: 5.5989
16/16 [==============================] - 0s 2ms/step - loss: 5.5989
16/16 [==============================] - 0s 1ms/step - loss: 5.5989
Testing for epoch 36 index 13:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0042
16/16 [==============================] - 0s 1ms/step - loss: 5.2300
16/16 [==============================] - 0s 2ms/step - loss: 5.2302
16/16 [==============================] - 0s 2ms/step - loss: 5.6212
16/16 [==============================] - 0s 8ms/step - loss: 5.6223
16/16 [==============================] - 0s 4ms/step - loss: 5.6223
16/16 [==============================] - 0s 4ms/step - loss: 5.6223
16/16 [==============================] - 0s 2ms/step - loss: 5.6223
16/16 [==============================] - 0s 2ms/step - loss: 5.6223
16/16 [==============================] - 0s 3ms/step - loss: 5.6223
Testing for epoch 36 index 14:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0047
16/16 [==============================] - 0s 2ms/step - loss: 5.2473
16/16 [==============================] - 0s 2ms/step - loss: 5.2476
16/16 [==============================] - 0s 2ms/step - loss: 5.6383
16/16 [==============================] - 0s 2ms/step - loss: 5.6394
16/16 [==============================] - 0s 3ms/step - loss: 5.6394
16/16 [==============================] - 0s 2ms/step - loss: 5.6394
16/16 [==============================] - 0s 8ms/step - loss: 5.6394
16/16 [==============================] - 0s 5ms/step - loss: 5.6394
16/16 [==============================] - 0s 1ms/step - loss: 5.6394
Testing for epoch 36 index 15:
391/391 [==============================] - 0s 998us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0051
16/16 [==============================] - 0s 2ms/step - loss: 5.1690
16/16 [==============================] - 0s 1ms/step - loss: 5.1693
16/16 [==============================] - 0s 2ms/step - loss: 5.5663
16/16 [==============================] - 0s 4ms/step - loss: 5.5675
16/16 [==============================] - 0s 2ms/step - loss: 5.5675
16/16 [==============================] - 0s 3ms/step - loss: 5.5675
16/16 [==============================] - 0s 2ms/step - loss: 5.5675
16/16 [==============================] - 0s 2ms/step - loss: 5.5675
16/16 [==============================] - 0s 2ms/step - loss: 5.5675
Testing for epoch 36 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0048
16/16 [==============================] - 0s 1ms/step - loss: 5.1451
16/16 [==============================] - 0s 2ms/step - loss: 5.1454
16/16 [==============================] - 0s 2ms/step - loss: 5.5470
16/16 [==============================] - 0s 3ms/step - loss: 5.5482
16/16 [==============================] - 0s 2ms/step - loss: 5.5482
16/16 [==============================] - 0s 2ms/step - loss: 5.5482
16/16 [==============================] - 0s 2ms/step - loss: 5.5482
16/16 [==============================] - 0s 2ms/step - loss: 5.5482
16/16 [==============================] - 0s 3ms/step - loss: 5.5482
Testing for epoch 36 index 17:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0054
16/16 [==============================] - 0s 2ms/step - loss: 5.2356
16/16 [==============================] - 0s 3ms/step - loss: 5.2359
16/16 [==============================] - 0s 2ms/step - loss: 5.6304
16/16 [==============================] - 0s 4ms/step - loss: 5.6315
16/16 [==============================] - 0s 2ms/step - loss: 5.6315
16/16 [==============================] - 0s 5ms/step - loss: 5.6315
16/16 [==============================] - 0s 5ms/step - loss: 5.6315
16/16 [==============================] - 0s 3ms/step - loss: 5.6315
16/16 [==============================] - 0s 2ms/step - loss: 5.6315
Testing for epoch 36 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0058
16/16 [==============================] - 0s 2ms/step - loss: 5.1895
16/16 [==============================] - 0s 2ms/step - loss: 5.1898
16/16 [==============================] - 0s 2ms/step - loss: 5.5869
16/16 [==============================] - 0s 3ms/step - loss: 5.5880
16/16 [==============================] - 0s 2ms/step - loss: 5.5880
16/16 [==============================] - 0s 1ms/step - loss: 5.5880
16/16 [==============================] - 0s 1ms/step - loss: 5.5880
16/16 [==============================] - 0s 3ms/step - loss: 5.5880
16/16 [==============================] - 0s 3ms/step - loss: 5.5880
Testing for epoch 36 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0054
16/16 [==============================] - 0s 2ms/step - loss: 5.1761
16/16 [==============================] - 0s 2ms/step - loss: 5.1764
16/16 [==============================] - 0s 2ms/step - loss: 5.5768
16/16 [==============================] - 0s 2ms/step - loss: 5.5780
16/16 [==============================] - 0s 2ms/step - loss: 5.5780
16/16 [==============================] - 0s 2ms/step - loss: 5.5780
16/16 [==============================] - 0s 2ms/step - loss: 5.5780
16/16 [==============================] - 0s 3ms/step - loss: 5.5780
16/16 [==============================] - 0s 2ms/step - loss: 5.5780
Testing for epoch 36 index 20:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0054
16/16 [==============================] - 0s 3ms/step - loss: 5.1661
16/16 [==============================] - 0s 3ms/step - loss: 5.1664
16/16 [==============================] - 0s 2ms/step - loss: 5.5653
16/16 [==============================] - 0s 2ms/step - loss: 5.5665
16/16 [==============================] - 0s 2ms/step - loss: 5.5665
16/16 [==============================] - 0s 3ms/step - loss: 5.5665
16/16 [==============================] - 0s 2ms/step - loss: 5.5665
16/16 [==============================] - 0s 2ms/step - loss: 5.5665
16/16 [==============================] - 0s 3ms/step - loss: 5.5665
Testing for epoch 36 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0054
16/16 [==============================] - 0s 2ms/step - loss: 5.1874
16/16 [==============================] - 0s 2ms/step - loss: 5.1877
16/16 [==============================] - 0s 3ms/step - loss: 5.5857
16/16 [==============================] - 0s 2ms/step - loss: 5.5868
16/16 [==============================] - 0s 2ms/step - loss: 5.5868
16/16 [==============================] - 0s 2ms/step - loss: 5.5868
16/16 [==============================] - 0s 3ms/step - loss: 5.5868
16/16 [==============================] - 0s 2ms/step - loss: 5.5868
16/16 [==============================] - 0s 2ms/step - loss: 5.5868
Testing for epoch 36 index 22:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0055
16/16 [==============================] - 0s 2ms/step - loss: 5.2373
16/16 [==============================] - 0s 2ms/step - loss: 5.2376
16/16 [==============================] - 0s 2ms/step - loss: 5.6301
16/16 [==============================] - 0s 2ms/step - loss: 5.6312
16/16 [==============================] - 0s 2ms/step - loss: 5.6312
16/16 [==============================] - 0s 3ms/step - loss: 5.6312
16/16 [==============================] - 0s 1ms/step - loss: 5.6312
16/16 [==============================] - 0s 2ms/step - loss: 5.6312
16/16 [==============================] - 0s 2ms/step - loss: 5.6312
Testing for epoch 36 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0049
16/16 [==============================] - 0s 2ms/step - loss: 5.1576
16/16 [==============================] - 0s 2ms/step - loss: 5.1579
16/16 [==============================] - 0s 2ms/step - loss: 5.5571
16/16 [==============================] - 0s 5ms/step - loss: 5.5582
16/16 [==============================] - 0s 2ms/step - loss: 5.5582
16/16 [==============================] - 0s 2ms/step - loss: 5.5582
16/16 [==============================] - 0s 4ms/step - loss: 5.5582
16/16 [==============================] - 0s 3ms/step - loss: 5.5582
16/16 [==============================] - 0s 1ms/step - loss: 5.5582
Testing for epoch 36 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0047
16/16 [==============================] - 0s 1ms/step - loss: 5.1952
16/16 [==============================] - 0s 2ms/step - loss: 5.1955
16/16 [==============================] - 0s 2ms/step - loss: 5.5931
16/16 [==============================] - 0s 2ms/step - loss: 5.5943
16/16 [==============================] - 0s 2ms/step - loss: 5.5943
16/16 [==============================] - 0s 2ms/step - loss: 5.5943
16/16 [==============================] - 0s 1ms/step - loss: 5.5943
16/16 [==============================] - 0s 2ms/step - loss: 5.5943
16/16 [==============================] - 0s 2ms/step - loss: 5.5943
Epoch 37 of 60
Testing for epoch 37 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0051
16/16 [==============================] - 0s 2ms/step - loss: 5.2008
16/16 [==============================] - 0s 2ms/step - loss: 5.2011
16/16 [==============================] - 0s 1ms/step - loss: 5.6013
16/16 [==============================] - 0s 1ms/step - loss: 5.6024
16/16 [==============================] - 0s 2ms/step - loss: 5.6024
16/16 [==============================] - 0s 2ms/step - loss: 5.6024
16/16 [==============================] - 0s 2ms/step - loss: 5.6024
16/16 [==============================] - 0s 2ms/step - loss: 5.6024
16/16 [==============================] - 0s 2ms/step - loss: 5.6024
Testing for epoch 37 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0047
16/16 [==============================] - 0s 2ms/step - loss: 5.2213
16/16 [==============================] - 0s 2ms/step - loss: 5.2216
16/16 [==============================] - 0s 1ms/step - loss: 5.6126
16/16 [==============================] - 0s 2ms/step - loss: 5.6138
16/16 [==============================] - 0s 2ms/step - loss: 5.6138
16/16 [==============================] - 0s 2ms/step - loss: 5.6138
16/16 [==============================] - 0s 2ms/step - loss: 5.6138
16/16 [==============================] - 0s 3ms/step - loss: 5.6138
16/16 [==============================] - 0s 3ms/step - loss: 5.6138
Testing for epoch 37 index 3:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0043
16/16 [==============================] - 0s 2ms/step - loss: 5.2441
16/16 [==============================] - 0s 2ms/step - loss: 5.2444
16/16 [==============================] - 0s 2ms/step - loss: 5.6347
16/16 [==============================] - 0s 4ms/step - loss: 5.6358
16/16 [==============================] - 0s 2ms/step - loss: 5.6358
16/16 [==============================] - 0s 2ms/step - loss: 5.6358
16/16 [==============================] - 0s 2ms/step - loss: 5.6358
16/16 [==============================] - 0s 2ms/step - loss: 5.6358
16/16 [==============================] - 0s 1ms/step - loss: 5.6358
Testing for epoch 37 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0043
16/16 [==============================] - 0s 2ms/step - loss: 5.3030
16/16 [==============================] - 0s 2ms/step - loss: 5.3032
16/16 [==============================] - 0s 2ms/step - loss: 5.6918
16/16 [==============================] - 0s 3ms/step - loss: 5.6930
16/16 [==============================] - 0s 2ms/step - loss: 5.6930
16/16 [==============================] - 0s 2ms/step - loss: 5.6930
16/16 [==============================] - 0s 2ms/step - loss: 5.6930
16/16 [==============================] - 0s 2ms/step - loss: 5.6930
16/16 [==============================] - 0s 2ms/step - loss: 5.6930
Testing for epoch 37 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0037
16/16 [==============================] - 0s 3ms/step - loss: 5.3149
16/16 [==============================] - 0s 3ms/step - loss: 5.3152
16/16 [==============================] - 0s 2ms/step - loss: 5.7013
16/16 [==============================] - 0s 2ms/step - loss: 5.7024
16/16 [==============================] - 0s 3ms/step - loss: 5.7024
16/16 [==============================] - 0s 4ms/step - loss: 5.7024
16/16 [==============================] - 0s 3ms/step - loss: 5.7024
16/16 [==============================] - 0s 3ms/step - loss: 5.7024
16/16 [==============================] - 0s 2ms/step - loss: 5.7024
Testing for epoch 37 index 6:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0041
16/16 [==============================] - 0s 4ms/step - loss: 5.3506
16/16 [==============================] - 0s 3ms/step - loss: 5.3509
16/16 [==============================] - 0s 2ms/step - loss: 5.7317
16/16 [==============================] - 0s 4ms/step - loss: 5.7328
16/16 [==============================] - 0s 4ms/step - loss: 5.7328
16/16 [==============================] - 0s 2ms/step - loss: 5.7328
16/16 [==============================] - 0s 2ms/step - loss: 5.7328
16/16 [==============================] - 0s 3ms/step - loss: 5.7328
16/16 [==============================] - 0s 3ms/step - loss: 5.7328
Testing for epoch 37 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0037
16/16 [==============================] - 0s 1ms/step - loss: 5.3807
16/16 [==============================] - 0s 4ms/step - loss: 5.3810
16/16 [==============================] - 0s 2ms/step - loss: 5.7581
16/16 [==============================] - 0s 2ms/step - loss: 5.7592
16/16 [==============================] - 0s 1ms/step - loss: 5.7592
16/16 [==============================] - 0s 1ms/step - loss: 5.7592
16/16 [==============================] - 0s 3ms/step - loss: 5.7592
16/16 [==============================] - 0s 2ms/step - loss: 5.7592
16/16 [==============================] - 0s 4ms/step - loss: 5.7592
Testing for epoch 37 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0035
16/16 [==============================] - 0s 2ms/step - loss: 5.3407
16/16 [==============================] - 0s 2ms/step - loss: 5.3410
16/16 [==============================] - 0s 2ms/step - loss: 5.7210
16/16 [==============================] - 0s 5ms/step - loss: 5.7221
16/16 [==============================] - 0s 2ms/step - loss: 5.7221
16/16 [==============================] - 0s 4ms/step - loss: 5.7221
16/16 [==============================] - 0s 3ms/step - loss: 5.7221
16/16 [==============================] - 0s 4ms/step - loss: 5.7221
16/16 [==============================] - 0s 3ms/step - loss: 5.7221
Testing for epoch 37 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0032
16/16 [==============================] - 0s 2ms/step - loss: 5.3797
16/16 [==============================] - 0s 3ms/step - loss: 5.3799
16/16 [==============================] - 0s 3ms/step - loss: 5.7570
16/16 [==============================] - 0s 2ms/step - loss: 5.7581
16/16 [==============================] - 0s 4ms/step - loss: 5.7581
16/16 [==============================] - 0s 4ms/step - loss: 5.7581
16/16 [==============================] - 0s 3ms/step - loss: 5.7581
16/16 [==============================] - 0s 2ms/step - loss: 5.7581
16/16 [==============================] - 0s 2ms/step - loss: 5.7581
Testing for epoch 37 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0036
16/16 [==============================] - 0s 2ms/step - loss: 5.3347
16/16 [==============================] - 0s 2ms/step - loss: 5.3350
16/16 [==============================] - 0s 2ms/step - loss: 5.7160
16/16 [==============================] - 0s 3ms/step - loss: 5.7171
16/16 [==============================] - 0s 2ms/step - loss: 5.7171
16/16 [==============================] - 0s 3ms/step - loss: 5.7171
16/16 [==============================] - 0s 2ms/step - loss: 5.7171
16/16 [==============================] - 0s 2ms/step - loss: 5.7171
16/16 [==============================] - 0s 2ms/step - loss: 5.7171
Testing for epoch 37 index 11:
391/391 [==============================] - 0s 948us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0036
16/16 [==============================] - 0s 2ms/step - loss: 5.2534
16/16 [==============================] - 0s 1ms/step - loss: 5.2537
16/16 [==============================] - 0s 2ms/step - loss: 5.6468
16/16 [==============================] - 0s 2ms/step - loss: 5.6479
16/16 [==============================] - 0s 3ms/step - loss: 5.6479
16/16 [==============================] - 0s 3ms/step - loss: 5.6479
16/16 [==============================] - 0s 2ms/step - loss: 5.6479
16/16 [==============================] - 0s 2ms/step - loss: 5.6479
16/16 [==============================] - 0s 2ms/step - loss: 5.6479
Testing for epoch 37 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0045
16/16 [==============================] - 0s 2ms/step - loss: 5.2714
16/16 [==============================] - 0s 2ms/step - loss: 5.2717
16/16 [==============================] - 0s 4ms/step - loss: 5.6632
16/16 [==============================] - 0s 1ms/step - loss: 5.6643
16/16 [==============================] - 0s 2ms/step - loss: 5.6643
16/16 [==============================] - 0s 2ms/step - loss: 5.6643
16/16 [==============================] - 0s 2ms/step - loss: 5.6643
16/16 [==============================] - 0s 2ms/step - loss: 5.6643
16/16 [==============================] - 0s 2ms/step - loss: 5.6643
Testing for epoch 37 index 13:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0047
16/16 [==============================] - 0s 3ms/step - loss: 5.2741
16/16 [==============================] - 0s 3ms/step - loss: 5.2744
16/16 [==============================] - 0s 2ms/step - loss: 5.6662
16/16 [==============================] - 0s 4ms/step - loss: 5.6673
16/16 [==============================] - 0s 2ms/step - loss: 5.6673
16/16 [==============================] - 0s 4ms/step - loss: 5.6673
16/16 [==============================] - 0s 2ms/step - loss: 5.6673
16/16 [==============================] - 0s 7ms/step - loss: 5.6673
16/16 [==============================] - 0s 2ms/step - loss: 5.6673
Testing for epoch 37 index 14:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0050
16/16 [==============================] - 0s 3ms/step - loss: 5.2619
16/16 [==============================] - 0s 2ms/step - loss: 5.2622
16/16 [==============================] - 0s 2ms/step - loss: 5.6577
16/16 [==============================] - 0s 4ms/step - loss: 5.6589
16/16 [==============================] - 0s 2ms/step - loss: 5.6589
16/16 [==============================] - 0s 2ms/step - loss: 5.6589
16/16 [==============================] - 0s 2ms/step - loss: 5.6589
16/16 [==============================] - 0s 2ms/step - loss: 5.6589
16/16 [==============================] - 0s 2ms/step - loss: 5.6589
Testing for epoch 37 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0054
16/16 [==============================] - 0s 2ms/step - loss: 5.2003
16/16 [==============================] - 0s 2ms/step - loss: 5.2006
16/16 [==============================] - 0s 2ms/step - loss: 5.6010
16/16 [==============================] - 0s 2ms/step - loss: 5.6021
16/16 [==============================] - 0s 2ms/step - loss: 5.6021
16/16 [==============================] - 0s 2ms/step - loss: 5.6021
16/16 [==============================] - 0s 2ms/step - loss: 5.6021
16/16 [==============================] - 0s 2ms/step - loss: 5.6021
16/16 [==============================] - 0s 2ms/step - loss: 5.6021
Testing for epoch 37 index 16:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0056
16/16 [==============================] - 0s 3ms/step - loss: 5.2178
16/16 [==============================] - 0s 2ms/step - loss: 5.2181
16/16 [==============================] - 0s 4ms/step - loss: 5.6178
16/16 [==============================] - 0s 3ms/step - loss: 5.6190
16/16 [==============================] - 0s 2ms/step - loss: 5.6190
16/16 [==============================] - 0s 2ms/step - loss: 5.6190
16/16 [==============================] - 0s 3ms/step - loss: 5.6190
16/16 [==============================] - 0s 3ms/step - loss: 5.6190
16/16 [==============================] - 0s 3ms/step - loss: 5.6190
Testing for epoch 37 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0058
16/16 [==============================] - 0s 2ms/step - loss: 5.2434
16/16 [==============================] - 0s 2ms/step - loss: 5.2437
16/16 [==============================] - 0s 2ms/step - loss: 5.6415
16/16 [==============================] - 0s 1ms/step - loss: 5.6426
16/16 [==============================] - 0s 2ms/step - loss: 5.6426
16/16 [==============================] - 0s 2ms/step - loss: 5.6426
16/16 [==============================] - 0s 2ms/step - loss: 5.6426
16/16 [==============================] - 0s 2ms/step - loss: 5.6426
16/16 [==============================] - 0s 5ms/step - loss: 5.6426
Testing for epoch 37 index 18:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0055
16/16 [==============================] - 0s 3ms/step - loss: 5.2580
16/16 [==============================] - 0s 2ms/step - loss: 5.2583
16/16 [==============================] - 0s 4ms/step - loss: 5.6514
16/16 [==============================] - 0s 2ms/step - loss: 5.6525
16/16 [==============================] - 0s 3ms/step - loss: 5.6525
16/16 [==============================] - 0s 2ms/step - loss: 5.6525
16/16 [==============================] - 0s 1ms/step - loss: 5.6525
16/16 [==============================] - 0s 5ms/step - loss: 5.6525
16/16 [==============================] - 0s 3ms/step - loss: 5.6525
Testing for epoch 37 index 19:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0057
16/16 [==============================] - 0s 2ms/step - loss: 5.1768
16/16 [==============================] - 0s 3ms/step - loss: 5.1771
16/16 [==============================] - 0s 2ms/step - loss: 5.5801
16/16 [==============================] - 0s 5ms/step - loss: 5.5813
16/16 [==============================] - 0s 2ms/step - loss: 5.5813
16/16 [==============================] - 0s 2ms/step - loss: 5.5813
16/16 [==============================] - 0s 1ms/step - loss: 5.5813
16/16 [==============================] - 0s 2ms/step - loss: 5.5813
16/16 [==============================] - 0s 2ms/step - loss: 5.5813
Testing for epoch 37 index 20:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0059
16/16 [==============================] - 0s 1ms/step - loss: 5.2710
16/16 [==============================] - 0s 3ms/step - loss: 5.2713
16/16 [==============================] - 0s 4ms/step - loss: 5.6685
16/16 [==============================] - 0s 2ms/step - loss: 5.6697
16/16 [==============================] - 0s 2ms/step - loss: 5.6697
16/16 [==============================] - 0s 2ms/step - loss: 5.6697
16/16 [==============================] - 0s 2ms/step - loss: 5.6697
16/16 [==============================] - 0s 3ms/step - loss: 5.6697
16/16 [==============================] - 0s 2ms/step - loss: 5.6697
Testing for epoch 37 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0060
16/16 [==============================] - 0s 2ms/step - loss: 5.2523
16/16 [==============================] - 0s 1ms/step - loss: 5.2526
16/16 [==============================] - 0s 2ms/step - loss: 5.6502
16/16 [==============================] - 0s 3ms/step - loss: 5.6513
16/16 [==============================] - 0s 2ms/step - loss: 5.6513
16/16 [==============================] - 0s 3ms/step - loss: 5.6513
16/16 [==============================] - 0s 3ms/step - loss: 5.6513
16/16 [==============================] - 0s 2ms/step - loss: 5.6513
16/16 [==============================] - 0s 3ms/step - loss: 5.6513
Testing for epoch 37 index 22:outlier_MO_GAAL_one = list(clf.labels_)outlier_MO_GAAL_one = list(map(lambda x: 1 if x==0 else -1,outlier_MO_GAAL_one))pd.concat([_df,pd.DataFrame(_df['Residual']**2).rename(columns={'Residual':'rst'}),pd.DataFrame(outlier_simul_one),
pd.DataFrame(lof_rst).rename(columns={0:'LOF'}),
pd.DataFrame(outlier_KNN_one).rename(columns={0:'KNN'}),
pd.DataFrame(outlier_OSVM_one).rename(columns={0:'OCSVM'}),
pd.DataFrame(outlier_MCD_one).rename(columns={0:'MCD'}),
pd.DataFrame(outlier_FeatureBagging_one).rename(columns={0:'Feature Bagging'}),
pd.DataFrame(outlier_ABOD_one).rename(columns={0:'ABOD'}),
pd.DataFrame(outlier_alibi_one).rename(columns={0:'IForest'}),
pd.DataFrame(outlier_HBOS_one).rename(columns={0:'HBOS'}),
pd.DataFrame(outlier_SOS_one).rename(columns={0:'SOS'}),
pd.DataFrame(outlier_SO_GAAL_one).rename(columns={0:'SO_GAAL'}),
pd.DataFrame(outlier_MO_GAAL_one).rename(columns={0:'MO_GAAL'})],axis=1).\
rename(columns={'Latitude':'Latitude',
'Longitude':'Longitude',
'Magnitude':'Magnitude',
'Year':'Year',
'MagnitudeHat':'MagnitudeHat',
'Residual':'Residual',
'rst':'Anomalious Score',
0:'GODE',
'LOF':'LOF',
'KNN':'KNN',
'OCSVM':'OCSVM',
'MCD':'MCD',
'Feature Bagging':'Feature Bagging',
'ABOD':'ABOD',
'IForest':'IForest',
'HBOS':'HBOS',
'SOS':'SOS',
'SO_GAAL':'SO_GAAL',
'MO_GAAL':'MO_GAAL'})| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | KNN | OCSVM | MCD | Feature Bagging | ABOD | IForest | HBOS | SOS | SO_GAAL | MO_GAAL | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.663 | -26.045 | 5.5 | 2010.0 | 5.514405 | -0.014405 | 0.000207 | 1 | 1 | 1 | -1 | 1 | 1 | 1 | -1 | 1 | 1 | 1 | 1 |
| 1 | -19.209 | 167.902 | 5.1 | 2010.0 | 5.114861 | -0.014861 | 0.000221 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 2 | -31.830 | -178.135 | 5.0 | 2010.0 | 5.159778 | -0.159778 | 0.025529 | 1 | 1 | 1 | 1 | -1 | 1 | 1 | -1 | 1 | 1 | 1 | 1 |
| 3 | -19.984 | 168.353 | 5.0 | 2010.0 | 5.214340 | -0.214340 | 0.045942 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 4 | 50.380 | 153.964 | 5.0 | 2010.0 | 5.099783 | -0.099783 | 0.009957 | 1 | 1 | -1 | 1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 12493 | -22.874 | 69.345 | 5.2 | 2010.0 | 5.039599 | 0.160401 | 0.025728 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 12494 | 42.360 | -30.462 | 5.0 | 2010.0 | 5.104141 | -0.104141 | 0.010845 | 1 | 1 | -1 | 1 | 1 | 1 | -1 | -1 | 1 | 1 | 1 | -1 |
| 12495 | 40.726 | 51.925 | 5.0 | 2010.0 | 4.926934 | 0.073066 | 0.005339 | 1 | -1 | -1 | -1 | 1 | 1 | 1 | -1 | 1 | 1 | 1 | -1 |
| 12496 | 30.646 | 83.791 | 5.2 | 2010.0 | 5.240853 | -0.040853 | 0.001669 | 1 | 1 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 12497 | 26.290 | 99.866 | 5.0 | 2010.0 | 4.983210 | 0.016790 | 0.000282 | 1 | -1 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
12498 rows × 19 columns
_conf = Conf_matrx(outlier_true_one,outlier_MO_GAAL_one,tab_orbit)_conf.conf("MO-GAAL (Liu et al., 2019)")thirteen = twelve.append(_conf.tab)LSCP
detectors = [KNN(), LOF(), OCSVM()]
clf = LSCP(detectors)
clf.fit(_df[['Latitude','Longitude','Magnitude']])
# _df['LSCP_clf'] = clf.labels_/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/pyod/models/lscp.py:382: UserWarning: The number of histogram bins is greater than the number of classifiers, reducing n_bins to n_clf.
warnings.warn(
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4461: NearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
warnings.warn(stats.NearConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4461: NearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
warnings.warn(stats.NearConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4461: NearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
warnings.warn(stats.NearConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4461: NearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
warnings.warn(stats.NearConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4461: NearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
warnings.warn(stats.NearConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4461: NearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
warnings.warn(stats.NearConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4461: NearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
warnings.warn(stats.NearConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4461: NearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
warnings.warn(stats.NearConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4461: NearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
warnings.warn(stats.NearConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4461: NearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
warnings.warn(stats.NearConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))
/home/csy/anaconda3/envs/temp_csy/lib/python3.8/site-packages/scipy/stats/_stats_py.py:4424: ConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
warnings.warn(stats.ConstantInputWarning(msg))LSCP(contamination=0.1,
detector_list=[KNN(algorithm='auto', contamination=0.1, leaf_size=30, method='largest',
metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=5, p=2,
radius=1.0), LOF(algorithm='auto', contamination=0.1, leaf_size=30, metric='minkowski',
metric_params=None, n_jobs=1, n_neighbors=20, novelty=True, p=2), OCSVM(cache_size=200, coef0=0.0, contamination=0.1, degree=3, gamma='auto',
kernel='rbf', max_iter=-1, nu=0.5, shrinking=True, tol=0.001,
verbose=False)],
local_max_features=1.0, local_region_size=30, n_bins=3,
random_state=RandomState(MT19937) at 0x7F44245B8240)outlier_LSCP_one = list(clf.labels_)outlier_LSCP_one = list(map(lambda x: 1 if x==0 else -1,outlier_LSCP_one))pd.concat([_df,pd.DataFrame(_df['Residual']**2).rename(columns={'Residual':'rst'}),pd.DataFrame(outlier_simul_one),
pd.DataFrame(lof_rst).rename(columns={0:'LOF'}),
pd.DataFrame(outlier_KNN_one).rename(columns={0:'KNN'}),
pd.DataFrame(outlier_OSVM_one).rename(columns={0:'OCSVM'}),
pd.DataFrame(outlier_MCD_one).rename(columns={0:'MCD'}),
pd.DataFrame(outlier_FeatureBagging_one).rename(columns={0:'Feature Bagging'}),
pd.DataFrame(outlier_ABOD_one).rename(columns={0:'ABOD'}),
pd.DataFrame(outlier_alibi_one).rename(columns={0:'IForest'}),
pd.DataFrame(outlier_HBOS_one).rename(columns={0:'HBOS'}),
pd.DataFrame(outlier_SOS_one).rename(columns={0:'SOS'}),
pd.DataFrame(outlier_SO_GAAL_one).rename(columns={0:'SO_GAAL'}),
pd.DataFrame(outlier_MO_GAAL_one).rename(columns={0:'MO_GAAL'}),
pd.DataFrame(outlier_LSCP_one).rename(columns={0:'LSCP'})],axis=1).\
rename(columns={'Latitude':'Latitude',
'Longitude':'Longitude',
'Magnitude':'Magnitude',
'Year':'Year',
'MagnitudeHat':'MagnitudeHat',
'Residual':'Residual',
'rst':'Anomalious Score',
0:'GODE',
'LOF':'LOF',
'KNN':'KNN',
'OCSVM':'OCSVM',
'MCD':'MCD',
'Feature Bagging':'Feature Bagging',
'ABOD':'ABOD',
'IForest':'IForest',
'HBOS':'HBOS',
'SOS':'SOS',
'SO_GAAL':'SO_GAAL',
'MO_GAAL':'MO_GAAL',
'LSCP':'LSCP'})| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | KNN | OCSVM | MCD | Feature Bagging | ABOD | IForest | HBOS | SOS | SO_GAAL | MO_GAAL | LSCP | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.663 | -26.045 | 5.5 | 2010.0 | 5.514405 | -0.014405 | 0.000207 | 1 | 1 | 1 | -1 | 1 | 1 | 1 | -1 | 1 | 1 | 1 | 1 | 1 |
| 1 | -19.209 | 167.902 | 5.1 | 2010.0 | 5.114861 | -0.014861 | 0.000221 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 2 | -31.830 | -178.135 | 5.0 | 2010.0 | 5.159778 | -0.159778 | 0.025529 | 1 | 1 | 1 | 1 | -1 | 1 | 1 | -1 | 1 | 1 | 1 | 1 | 1 |
| 3 | -19.984 | 168.353 | 5.0 | 2010.0 | 5.214340 | -0.214340 | 0.045942 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 4 | 50.380 | 153.964 | 5.0 | 2010.0 | 5.099783 | -0.099783 | 0.009957 | 1 | 1 | -1 | 1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 | 1 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 12493 | -22.874 | 69.345 | 5.2 | 2010.0 | 5.039599 | 0.160401 | 0.025728 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 12494 | 42.360 | -30.462 | 5.0 | 2010.0 | 5.104141 | -0.104141 | 0.010845 | 1 | 1 | -1 | 1 | 1 | 1 | -1 | -1 | 1 | 1 | 1 | -1 | -1 |
| 12495 | 40.726 | 51.925 | 5.0 | 2010.0 | 4.926934 | 0.073066 | 0.005339 | 1 | -1 | -1 | -1 | 1 | 1 | 1 | -1 | 1 | 1 | 1 | -1 | -1 |
| 12496 | 30.646 | 83.791 | 5.2 | 2010.0 | 5.240853 | -0.040853 | 0.001669 | 1 | 1 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | -1 |
| 12497 | 26.290 | 99.866 | 5.0 | 2010.0 | 4.983210 | 0.016790 | 0.000282 | 1 | -1 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | -1 |
12498 rows × 20 columns
_conf = Conf_matrx(outlier_true_one,outlier_LSCP_one,tab_orbit)_conf.conf("LSCP (Zhao et al., 2019)")fourteen_orbit = thirteen.append(_conf.tab)Result
_df_rst = pd.concat([_df,pd.DataFrame(_df['Residual']**2).rename(columns={'Residual':'rst'}),pd.DataFrame(outlier_simul_one),
pd.DataFrame(lof_rst).rename(columns={0:'LOF'}),
pd.DataFrame(outlier_KNN_one).rename(columns={0:'KNN'}),
pd.DataFrame(outlier_OSVM_one).rename(columns={0:'OCSVM'}),
pd.DataFrame(outlier_MCD_one).rename(columns={0:'MCD'}),
pd.DataFrame(outlier_FeatureBagging_one).rename(columns={0:'Feature Bagging'}),
pd.DataFrame(outlier_ABOD_one).rename(columns={0:'ABOD'}),
pd.DataFrame(outlier_alibi_one).rename(columns={0:'IForest'}),
pd.DataFrame(outlier_HBOS_one).rename(columns={0:'HBOS'}),
pd.DataFrame(outlier_SOS_one).rename(columns={0:'SOS'}),
pd.DataFrame(outlier_SO_GAAL_one).rename(columns={0:'SO_GAAL'}),
pd.DataFrame(outlier_MO_GAAL_one).rename(columns={0:'MO_GAAL'}),
pd.DataFrame(outlier_LSCP_one).rename(columns={0:'LSCP'})],axis=1).\
rename(columns={'Latitude':'Latitude',
'Longitude':'Longitude',
'Magnitude':'Magnitude',
'Year':'Year',
'MagnitudeHat':'MagnitudeHat',
'Residual':'Residual',
'rst':'Anomalious Score',
0:'GODE',
'LOF':'LOF',
'KNN':'KNN',
'OCSVM':'OCSVM',
'MCD':'MCD',
'Feature Bagging':'Feature Bagging',
'ABOD':'ABOD',
'IForest':'IForest',
'HBOS':'HBOS',
'SOS':'SOS',
'SO_GAAL':'SO_GAAL',
'MO_GAAL':'MO_GAAL',
'LSCP':'LSCP'})_df_compa = _df_rst.copy()cmp = pd.concat([pd.read_csv('05_10.csv'),pd.read_csv('10_15.csv')]).iloc[:,[0,1,2,4]].rename(columns={'latitude':'Latitude','longitude':'Longitude','mag':'Magnitude'}).reset_index().iloc[:,1:]cmp| time | Latitude | Longitude | Magnitude | |
|---|---|---|---|---|
| 0 | 2010-12-31T16:30:54.520Z | 0.663 | -26.045 | 5.5 |
| 1 | 2010-12-31T04:11:03.180Z | -19.209 | 167.902 | 5.1 |
| 2 | 2010-12-30T23:47:03.930Z | -31.830 | -178.135 | 5.0 |
| 3 | 2010-12-30T21:22:30.350Z | -19.984 | 168.353 | 5.0 |
| 4 | 2010-12-30T19:56:36.380Z | 50.380 | 153.964 | 5.0 |
| ... | ... | ... | ... | ... |
| 24099 | 2010-01-01T14:31:10.130Z | -22.874 | 69.345 | 5.2 |
| 24100 | 2010-01-01T09:37:11.290Z | 42.360 | -30.462 | 5.0 |
| 24101 | 2010-01-01T02:34:56.050Z | 40.726 | 51.925 | 5.0 |
| 24102 | 2010-01-01T02:22:23.820Z | 30.646 | 83.791 | 5.2 |
| 24103 | 2010-01-01T02:08:21.900Z | 26.290 | 99.866 | 5.0 |
24104 rows × 4 columns
pd.read_csv('outlier_CBLOF_one.csv')_df_compa.to_csv('earthquake_comparison.csv')Haiti
_df_compa[_df_compa['Latitude']==18.443] # Haiti(lat=18.4430, lon=-72.5710)| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | KNN | OCSVM | MCD | Feature Bagging | ABOD | IForest | HBOS | SOS | SO_GAAL | MO_GAAL | LSCP | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2326 | 18.443 | -72.571 | 7.0 | 2010.0 | 6.659386 | 0.340614 | 0.116018 | -1 | -1 | 1 | -1 | 1 | -1 | -1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 12429 | 18.443 | -72.571 | 7.0 | 2010.0 | 6.386632 | 0.613368 | 0.376220 | -1 | -1 | 1 | 1 | 1 | -1 | -1 | -1 | -1 | -1 | 1 | -1 | -1 |
cmp[cmp['Latitude']==18.443]| time | Latitude | Longitude | Magnitude | |
|---|---|---|---|---|
| 2326 | 2010-01-12T21:53:10.060Z | 18.443 | -72.571 | 7.0 |
| 24035 | 2010-01-12T21:53:10.060Z | 18.443 | -72.571 | 7.0 |
Iquique
_df_compa[_df_compa['Latitude']==-32.6953] # Iquiqeu lat=-32.6953, lon=-71.4416| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | KNN | OCSVM | MCD | Feature Bagging | ABOD | IForest | HBOS | SOS | SO_GAAL | MO_GAAL | LSCP | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2997 | -32.6953 | -71.4416 | 6.4 | 2014.0 | 6.088353 | 0.311647 | 0.097124 | -1 | -1 | 1 | 1 | 1 | -1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
cmp[cmp['Latitude']==-32.6953]| time | Latitude | Longitude | Magnitude | |
|---|---|---|---|---|
| 14603 | 2014-08-23T22:32:23.320Z | -32.6953 | -71.4416 | 6.4 |
_df_compa[_df_compa['Latitude']==-20.5709] # Iquiqeu lat=-32.6953, lon=-71.4416| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | KNN | OCSVM | MCD | Feature Bagging | ABOD | IForest | HBOS | SOS | SO_GAAL | MO_GAAL | LSCP | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3723 | -20.5709 | -70.4931 | 7.7 | 2014.0 | 6.991148 | 0.708852 | 0.502471 | -1 | -1 | 1 | -1 | -1 | -1 | 1 | -1 | -1 | -1 | 1 | -1 | -1 |
cmp[cmp['Latitude']==-20.5709]| time | Latitude | Longitude | Magnitude | |
|---|---|---|---|---|
| 15329 | 2014-04-03T02:43:13.110Z | -20.5709 | -70.4931 | 7.7 |
Sichan
_df_compa[_df_compa['Latitude']==30.3080] # sichan(lat=30.3080, lon=102.8880)| Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | KNN | OCSVM | MCD | Feature Bagging | ABOD | IForest | HBOS | SOS | SO_GAAL | MO_GAAL | LSCP | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 5137 | 30.308 | 102.888 | 6.6 | 2013.0 | 5.904218 | 0.695782 | 0.484113 | -1 | -1 | 1 | 1 | 1 | -1 | -1 | -1 | -1 | -1 | 1 | 1 | -1 |
cmp[cmp['Latitude']==30.3080]| time | Latitude | Longitude | Magnitude | |
|---|---|---|---|---|
| 16743 | 2013-04-20T00:02:47.540Z | 30.308 | 102.888 | 6.6 |
_df_compa.sort_values('Anomalious Score',ascending=False).iloc[:50,:].reset_index()| index | Latitude | Longitude | Magnitude | Year | MagnitudeHat | Residual | Anomalious Score | GODE | LOF | ... | OCSVM | MCD | Feature Bagging | ABOD | IForest | HBOS | SOS | SO_GAAL | MO_GAAL | LSCP | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2064 | -36.122000 | -72.898000 | 8.8 | 2010.0 | 7.572545 | 1.227455 | 1.506646 | -1 | -1 | ... | 1 | -1 | -1 | -1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 1 | 3752 | -19.609700 | -70.769100 | 8.2 | 2014.0 | 7.075499 | 1.124501 | 1.264504 | -1 | -1 | ... | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 2 | 12167 | -36.122000 | -72.898000 | 8.8 | 2010.0 | 7.742429 | 1.057571 | 1.118457 | -1 | -1 | ... | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 3 | 9660 | 36.281000 | 141.111000 | 7.9 | 2011.0 | 6.912847 | 0.987153 | 0.974470 | -1 | -1 | ... | 1 | 1 | -1 | -1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 4 | 6877 | 0.802000 | 92.463000 | 8.2 | 2012.0 | 7.353106 | 0.846894 | 0.717230 | -1 | 1 | ... | 1 | -1 | -1 | -1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 5 | 7938 | -21.611000 | -179.528000 | 7.3 | 2011.0 | 6.497713 | 0.802287 | 0.643665 | -1 | -1 | ... | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 1 | 1 | -1 |
| 6 | 10593 | -3.487000 | 100.082000 | 7.8 | 2010.0 | 7.008107 | 0.791893 | 0.627095 | -1 | -1 | ... | -1 | 1 | -1 | -1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 7 | 3835 | -19.980700 | -70.702200 | 6.7 | 2014.0 | 5.913563 | 0.786437 | 0.618483 | -1 | -1 | ... | 1 | 1 | -1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 8 | 3281 | -29.977200 | -177.724700 | 6.9 | 2014.0 | 6.129969 | 0.770031 | 0.592947 | -1 | 1 | ... | -1 | -1 | -1 | 1 | -1 | -1 | -1 | 1 | -1 | 1 |
| 9 | 4997 | -23.009000 | -177.232000 | 7.4 | 2013.0 | 6.648946 | 0.751054 | 0.564082 | -1 | -1 | ... | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 1 | 1 | -1 |
| 10 | 11365 | 7.881000 | 91.936000 | 7.5 | 2010.0 | 6.759298 | 0.740702 | 0.548640 | -1 | -1 | ... | 1 | 1 | -1 | -1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 11 | 3723 | -20.570900 | -70.493100 | 7.7 | 2014.0 | 6.991148 | 0.708852 | 0.502471 | -1 | -1 | ... | -1 | -1 | -1 | 1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 12 | 490 | -3.487000 | 100.082000 | 7.8 | 2010.0 | 7.092844 | 0.707156 | 0.500069 | -1 | -1 | ... | -1 | 1 | -1 | -1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 13 | 11856 | -34.290000 | -71.891000 | 6.9 | 2010.0 | 6.197441 | 0.702559 | 0.493590 | -1 | 1 | ... | 1 | 1 | -1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 14 | 6443 | -21.222000 | -179.287000 | 5.6 | 2012.0 | 4.900729 | 0.699271 | 0.488980 | -1 | -1 | ... | 1 | -1 | 1 | 1 | -1 | 1 | -1 | 1 | 1 | 1 |
| 15 | 9598 | 36.569000 | 141.486000 | 6.2 | 2011.0 | 5.502811 | 0.697189 | 0.486072 | -1 | 1 | ... | 1 | 1 | 1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 16 | 5137 | 30.308000 | 102.888000 | 6.6 | 2013.0 | 5.904218 | 0.695782 | 0.484113 | -1 | -1 | ... | 1 | 1 | -1 | -1 | -1 | -1 | -1 | 1 | 1 | -1 |
| 17 | 7772 | -28.993000 | -176.238000 | 7.4 | 2011.0 | 6.711309 | 0.688691 | 0.474295 | -1 | -1 | ... | -1 | -1 | -1 | 1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 18 | 4881 | 10.701000 | -42.594000 | 6.6 | 2013.0 | 5.915735 | 0.684265 | 0.468219 | -1 | -1 | ... | -1 | 1 | 1 | -1 | -1 | -1 | -1 | 1 | -1 | 1 |
| 19 | 4330 | 39.306700 | 142.095400 | 5.0 | 2013.0 | 5.682094 | -0.682094 | 0.465252 | -1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | -1 | 1 | 1 | 1 |
| 20 | 7768 | -55.261000 | -28.106000 | 5.0 | 2011.0 | 5.680237 | -0.680237 | 0.462723 | -1 | 1 | ... | 1 | 1 | 1 | 1 | -1 | 1 | -1 | 1 | 1 | 1 |
| 21 | 6940 | -35.200000 | -72.217000 | 7.1 | 2012.0 | 6.422078 | 0.677922 | 0.459578 | -1 | 1 | ... | 1 | -1 | -1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 22 | 4816 | -60.857000 | -25.070000 | 7.3 | 2013.0 | 6.626735 | 0.673265 | 0.453286 | -1 | -1 | ... | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 23 | 6963 | 16.493000 | -98.231000 | 7.4 | 2012.0 | 6.727272 | 0.672728 | 0.452563 | -1 | -1 | ... | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 24 | 8207 | 36.942000 | 140.955000 | 6.3 | 2011.0 | 5.644833 | 0.655167 | 0.429243 | -1 | 1 | ... | 1 | 1 | 1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 25 | 2670 | -23.393700 | -179.852400 | 5.0 | 2014.0 | 5.647693 | -0.647693 | 0.419507 | -1 | -1 | ... | 1 | -1 | 1 | 1 | -1 | 1 | -1 | 1 | 1 | 1 |
| 26 | 9675 | 38.297000 | 142.373000 | 9.1 | 2011.0 | 8.452726 | 0.647274 | 0.418963 | -1 | -1 | ... | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 27 | 163 | 26.901000 | 143.698000 | 7.4 | 2010.0 | 6.758782 | 0.641218 | 0.411160 | -1 | 1 | ... | -1 | 1 | -1 | 1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 28 | 7365 | -10.617000 | 165.160000 | 6.4 | 2012.0 | 5.760128 | 0.639872 | 0.409436 | -1 | -1 | ... | 1 | 1 | 1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 29 | 19 | -19.661000 | 168.140000 | 6.4 | 2010.0 | 5.761124 | 0.638876 | 0.408163 | -1 | 1 | ... | 1 | 1 | -1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 30 | 7739 | -17.941000 | -179.531000 | 6.0 | 2011.0 | 5.361437 | 0.638563 | 0.407763 | -1 | -1 | ... | 1 | -1 | -1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 31 | 8787 | -20.129000 | 168.257000 | 5.3 | 2011.0 | 4.674700 | 0.625300 | 0.391000 | -1 | -1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | -1 | 1 | 1 | 1 |
| 32 | 5447 | -10.994000 | 165.741000 | 6.6 | 2013.0 | 5.975600 | 0.624400 | 0.389875 | -1 | 1 | ... | 1 | 1 | 1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 33 | 8094 | -18.365000 | 168.143000 | 7.2 | 2011.0 | 6.578651 | 0.621349 | 0.386075 | -1 | 1 | ... | 1 | 1 | 1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 34 | 2699 | -19.690300 | -177.758700 | 7.1 | 2014.0 | 6.485400 | 0.614600 | 0.377733 | -1 | -1 | ... | -1 | -1 | -1 | 1 | -1 | -1 | -1 | 1 | 1 | -1 |
| 35 | 1751 | -34.326000 | -71.799000 | 7.0 | 2010.0 | 6.386349 | 0.613651 | 0.376567 | -1 | 1 | ... | 1 | 1 | -1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 36 | 12429 | 18.443000 | -72.571000 | 7.0 | 2010.0 | 6.386632 | 0.613368 | 0.376220 | -1 | -1 | ... | 1 | 1 | -1 | -1 | -1 | -1 | -1 | 1 | -1 | -1 |
| 37 | 6307 | 2.190000 | 126.837000 | 6.6 | 2012.0 | 5.993919 | 0.606081 | 0.367334 | -1 | 1 | ... | 1 | 1 | -1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 38 | 9366 | 40.082000 | 143.202000 | 5.7 | 2011.0 | 5.096812 | 0.603188 | 0.363836 | -1 | -1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | -1 | 1 | 1 | 1 |
| 39 | 9867 | -7.154000 | 155.184000 | 6.4 | 2011.0 | 5.798634 | 0.601366 | 0.361641 | -1 | -1 | ... | 1 | 1 | 1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 40 | 581 | 29.715000 | 69.587000 | 5.2 | 2010.0 | 5.794321 | -0.594321 | 0.353217 | -1 | -1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 41 | 1753 | -34.290000 | -71.891000 | 6.9 | 2010.0 | 6.310787 | 0.589213 | 0.347172 | -1 | 1 | ... | 1 | 1 | -1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 42 | 9050 | -16.541000 | -177.517000 | 6.3 | 2011.0 | 5.717719 | 0.582281 | 0.339052 | -1 | -1 | ... | 1 | -1 | 1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 43 | 11823 | -37.551000 | -73.465000 | 5.8 | 2010.0 | 5.219236 | 0.580764 | 0.337287 | -1 | -1 | ... | 1 | 1 | 1 | 1 | -1 | 1 | 1 | 1 | 1 | 1 |
| 44 | 11689 | 32.286167 | -115.295333 | 7.2 | 2010.0 | 6.620076 | 0.579924 | 0.336312 | -1 | -1 | ... | 1 | -1 | 1 | -1 | -1 | -1 | -1 | 1 | 1 | -1 |
| 45 | 1439 | -23.067000 | 169.426000 | 5.0 | 2010.0 | 5.579354 | -0.579354 | 0.335651 | -1 | 1 | ... | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 46 | 8456 | 36.261000 | 137.679000 | 5.0 | 2011.0 | 5.576525 | -0.576525 | 0.332381 | -1 | -1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 47 | 3164 | 37.005200 | 142.452500 | 6.5 | 2014.0 | 5.923529 | 0.576471 | 0.332319 | -1 | -1 | ... | 1 | 1 | 1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 48 | 6349 | 35.661000 | 82.518000 | 6.2 | 2012.0 | 5.623699 | 0.576301 | 0.332123 | -1 | 1 | ... | 1 | 1 | 1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
| 49 | 11803 | -35.802000 | -73.158000 | 6.2 | 2010.0 | 5.624964 | 0.575036 | 0.330667 | -1 | -1 | ... | 1 | 1 | 1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 |
50 rows × 21 columns