[MRG] Mimimal refactoring of gradient_boosting.py#11921
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jnothman merged 2 commits intoscikit-learn:masterfrom Aug 30, 2018
Merged
[MRG] Mimimal refactoring of gradient_boosting.py#11921jnothman merged 2 commits intoscikit-learn:masterfrom
jnothman merged 2 commits intoscikit-learn:masterfrom
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jnothman
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Aug 29, 2018
| X_csc, X_csr) | ||
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| # track deviance (= loss) | ||
| self.train_score_[i] = loss_(y[sample_mask], y_pred[sample_mask], |
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to avoid making a copy of the data, you might use sample_mask = slice(None, None)
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I reverted the changes, thanks for the warning. Using slice would break at some other places.
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Thanks |
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Reference Issues/PRs
What does this implement/fix? Explain your changes.
Some minimal changes to gradient_boosting.py to make code shorter and IMHO slightly easier to follow.
Any other comments?