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update

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Newnius 2020-05-02 12:34:27 +08:00
parent 983e5c4c37
commit d9e6e7ab26
2 changed files with 11 additions and 10 deletions
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19
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2
train.py
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@ -104,7 +104,7 @@ def experiment(repeats, series, seed):
t2 = test.shape[0] % batch_size
train_trimmed = train_scaled[train_scaled.shape[0] - t1 * batch_size:, :]
lstm_model = fit_lstm(train_trimmed, batch_size, 3000, 4)
lstm_model = fit_lstm(train_trimmed, batch_size, 300, 4)
# forecast the entire training dataset to build up state for forecasting
print(train_trimmed)
print(train_trimmed[:, 0])