Distance GNN

import numpy as np
import pandas as pd

img1 = np.random.randn(28*28).reshape(28,28)
img2 = np.random.randn(28*28).reshape(28,28)
img3 = np.random.randn(28*28).reshape(28,28)
img4 = np.random.randn(28*28).reshape(28,28)
img5 = np.random.randn(28*28).reshape(28,28)

_a = [1]*5+[2]*5+[3]*5+[4]*5+[5]*5
_b = [1,2,3,4,5]*5

- 2번째 데이터

df=pd.DataFrame({'t':_a ,'s':_b})
df 

	t	s
0	1	1
1	1	2
2	1	3
3	1	4
4	1	5
5	2	1
6	2	2
7	2	3
8	2	4
9	2	5
10	3	1
11	3	2
12	3	3
13	3	4
14	3	5
15	4	1
16	4	2
17	4	3
18	4	4
19	4	5
20	5	1
21	5	2
22	5	3
23	5	4
24	5	5

- 3번째 데이터

df=df.assign(third = [0]*25)

df

	t	s	third
0	1	1	0
1	1	2	0
2	1	3	0
3	1	4	0
4	1	5	0
5	2	1	0
6	2	2	0
7	2	3	0
8	2	4	0
9	2	5	0
10	3	1	0
11	3	2	0
12	3	3	0
13	3	4	0
14	3	5	0
15	4	1	0
16	4	2	0
17	4	3	0
18	4	4	0
19	4	5	0
20	5	1	0
21	5	2	0
22	5	3	0
23	5	4	0
24	5	5	0

df.third[0] = np.exp(((img1-img1)**2).sum())

theta= 5000
df.third[1] = np.exp(-((img1-img2)**2/theta).sum())

df

	t	s	third
0	1	1	1
1	1	2	0
2	1	3	0
3	1	4	0
4	1	5	0
5	2	1	0
6	2	2	0
7	2	3	0
8	2	4	0
9	2	5	0
10	3	1	0
11	3	2	0
12	3	3	0
13	3	4	0
14	3	5	0
15	4	1	0
16	4	2	0
17	4	3	0
18	4	4	0
19	4	5	0
20	5	1	0
21	5	2	0
22	5	3	0
23	5	4	0
24	5	5	0