72a787c849cf4ee166849dfea2506451b02eb5bd
2 from keras
.models
import model_from_json
4 with
open('model.json', 'r') as f
:
7 model
= model_from_json(json
)
8 model
.load_weights('./model.hdf5')
10 loss
='binary_crossentropy',
16 dat
= np
.genfromtxt('test.txt', dtype
=float, delimiter
='\t')[:, range(1, 14)]
17 lab
= np
.genfromtxt('test.txt', dtype
=int, delimiter
='\t')[:, 0]
19 print(model
.evaluate(dat
, lab
, batch_size
=32))