def buildnetwork(self):
model = Sequential()
model.add(lstm(20, dropout_W=0.2, input_shape = (self.seq_len, self.n_feature)))
#model.add(LSTM(20, dropout=0.2, input_shape=(int(self.seq_len), int(self.n_feature))))
model.add(Dense(1, activation=None))
model.compile(loss='mean_squared_error', optimizer=Adagrad(lr=0.002,clipvalue=10), metrics=['mean_squared_error'])
return model
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