#----coding:utf-8-----
input_dim=1,
output_dim=50,
return_sequences=True))
model.add(Dropout(0.2))
model.add(LSTM(
100,
return_sequences=False))
model.add(Dropout(0.2))
model.add(Dense(
output_dim=1))
model.add(Activation('linear'))
start = time.time()
model.compile(loss='mse', optimizer='rmsprop')
print ('compilation time : ', time.time() - start)
model.fit(
trainX,
trainY,
batch_size=128,
nb_epoch=10,
validation_split=0.05)
y_pred = model.predict(testX)
#plot
