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update

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Newnius 2020-05-02 10:34:16 +08:00
parent 294ec8d853
commit c026ca92a0
2 changed files with 10 additions and 11 deletions
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19
.idea/workspace.xml
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@ -396,8 +395,8 @@
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2
train.py
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@ -60,7 +60,6 @@ def invert_scale(scaler, X, yhat):
# fit an LSTM network to training data # fit an LSTM network to training data
def fit_lstm(train, batch_size2, nb_epoch, neurons): def fit_lstm(train, batch_size2, nb_epoch, neurons):
X, y = train[:, 0:-1], train[:, -1] X, y = train[:, 0:-1], train[:, -1]
X = X.reshape(X.shape[0], 1, X.shape[1]) X = X.reshape(X.shape[0], 1, X.shape[1])
model = Sequential() model = Sequential()
@ -123,6 +122,7 @@ def experiment(repeats, series, seed):
predictions.append(yhat) predictions.append(yhat)
# report performance # report performance
rmse = sqrt(mean_squared_error(raw_values[-12:], predictions)) rmse = sqrt(mean_squared_error(raw_values[-12:], predictions))
print(predictions, raw_values[-12:])
print('%d) Test RMSE: %.3f' % (r + 1, rmse)) print('%d) Test RMSE: %.3f' % (r + 1, rmse))
error_scores.append(rmse) error_scores.append(rmse)
return error_scores return error_scores