Fix xgboost example for hyperparameter tuning #476
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jlewi
reviewed
Jan 14, 2019
xgboost_ames_housing/housing.py
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| @@ -61,7 +62,7 @@ def train_model(train_X, | |||
| def eval_model(model, test_X, test_y): | |||
| """Evaluate the model performance.""" | |||
| predictions = model.predict(test_X) | |||
| print("MAE on test: {:.2f}".format(mean_absolute_error(predictions, test_y))) | |||
| print("mean_absolute_error={:.2f}".format(mean_absolute_error(predictions, test_y))) | |||
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Should we use the logging module rather than print?
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/assign @zhenghuiwang |
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/lgtm |
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/lgtm |
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