ae_past.py

#################################################################################################
## TRAIN PAST ENCODER
#################################################################################################
x_train_past = data[hold_out:,0:2400]
print("training past on: " + str(x_train_past.shape))

input_past = Input(shape=(x_train_past.shape[1],))
encoded_past = Dense(encoding_dim, activation='relu')(input_past)
decoded_past = Dense(x_train_past.shape[1], activation='linear')(encoded_past)
autoencoder_past = Model(input_past, decoded_past)
autoencoder_past.compile(optimizer='adadelta', loss='mean_squared_error', metrics=['accuracy'])

modelPath_past= savePath+"/models/autoencoder-past-"+str(encoding_dim)+".hdf5"
checkpoint_past = ModelCheckpoint(modelPath_past, monitor='acc', verbose=2, save_best_only=True, mode='max')

history_past = autoencoder_past.fit(x_train_past, x_train_past,
                    batch_size=batch_size,
                    epochs=epochs,
                    verbose=2,
                    callbacks=[checkpoint_past],
                    )