YAO/YAO-optimizer
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Newnius
2020-05-02 10:54:09 +08:00
parent a80bf6ea16
commit f0c457a09e
2 changed files with 13 additions and 10 deletions
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train.py
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@@ -106,8 +106,11 @@ def experiment(repeats, series, seed):
train_trimmed = train_scaled[train_scaled.shape[0] - t1 * batch_size:, :]
lstm_model = fit_lstm(train_trimmed, batch_size, 30, 4)
# forecast the entire training dataset to build up state for forecasting
print(train_trimmed)
print(train_trimmed[:, 0])
print(train_trimmed[:, :])
if seed:
train_reshaped = train_trimmed[:, 0].reshape(len(train_trimmed), 1, lag2)
train_reshaped = train_trimmed[:, :].reshape(len(train_trimmed), 1, lag2)
lstm_model.predict(train_reshaped, batch_size=batch_size)
# forecast test dataset
test_reshaped = test_scaled[:, 0:-1]