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Newnius 2020-05-02 02:21:44 +08:00
parent 92c305e29d
commit 6e27af40ea
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train.py
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@ -104,7 +104,7 @@ train, test = supervised_values[0:-12], supervised_values[-12:]
scaler, train_scaled, test_scaled = scale(train, test)
# fit the model
lstm_model = fit_lstm(train_scaled, 1, 3000, 4)
lstm_model = fit_lstm(train_scaled, 1, 30, 4)
# forecast the entire training dataset to build up state for forecasting
train_reshaped = train_scaled[:, 0].reshape(len(train_scaled), 1, 1)
lstm_model.predict(train_reshaped, batch_size=1)