test.py

   1 import numpy as np
   2 from keras.models import model_from_json
   3
   4 with open('model.json', 'r') as f:
   5     json = f.read()
   6
   7 model = model_from_json(json)
   8 model.load_weights('./model.hdf5')
   9 model.compile(
  10     loss='binary_crossentropy',
  11     optimizer='rmsprop',
  12     metrics=['accuracy'])
  13
  14 model.summary()
  15
  16 dat = np.genfromtxt('test.txt', dtype=float, delimiter='\t', usecols=range(1, 14))
  17 lab = np.genfromtxt('test.txt', dtype=int, delimiter='\t', usecols=[0])
  18
  19 print(model.evaluate(dat, lab, batch_size=32))