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Vsanku01/sine-wave.py

Created May 30, 2020 19:29
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sine-wave.py
full_scaler = MinMaxScaler()
scaled_full_data = full_scaler.fit_transform(df)
generator = TimeseriesGenerator(scaled_full_data,scaled_full_data,length=length,batch_size=batch_size)
model = Sequential()
model.add(LSTM(50,input_shape=(length,n_features)))
model.add(Dense(1))
model.compile(optimizer = 'adam',loss='mse',metrics=['accuracy'])
model.fit_generator(generator=generator,epochs=50)
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