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Newnius 2020-05-02 12:06:27 +08:00
parent 3c707ca1fc
commit 59e1d86395
2 changed files with 35 additions and 35 deletions
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63
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@ -166,6 +167,7 @@
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7
train.py
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@ -90,8 +90,7 @@ def experiment(repeats, series, seed):
supervised = timeseries_to_supervised(diff_values, lag2) supervised = timeseries_to_supervised(diff_values, lag2)
supervised_values = supervised.values supervised_values = supervised.values
# split data into train and test-sets # split data into train and test-sets
test_data_num = 12 train, test = supervised_values[0:-12], supervised_values[-12:]
train, test = supervised_values[0:-test_data_num], supervised_values[-test_data_num:]
# transform the scale of the data # transform the scale of the data
print(test) print(test)
scaler, train_scaled, test_scaled = scale(train, test) scaler, train_scaled, test_scaled = scale(train, test)
@ -128,8 +127,8 @@ def experiment(repeats, series, seed):
# store forecast # store forecast
predictions.append(yhat) predictions.append(yhat)
# report performance # report performance
rmse = sqrt(mean_squared_error(raw_values[-test_data_num:], predictions)) rmse = sqrt(mean_squared_error(raw_values[-12:], predictions))
print(predictions, raw_values[-test_data_num:]) 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