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[MRG+1] Optimize MSE criterion by avoiding computing constant terms during split optimization. #5203

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Sep 7, 2015
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[MRG+1] Optimize MSE criterion by avoiding computing constant terms during split optimization. #5203

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11 changes: 9 additions & 2 deletions doc/whats_new.rst
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Expand Up @@ -127,15 +127,22 @@ Enhancements

- Allow :func:`datasets.make_multilabel_classification` to output
a sparse ``y``. By Kashif Rasul.

- :class:`cluster.DBSCAN` now accepts a sparse matrix of precomputed
distances, allowing memory-efficient distance precomputation. By
`Joel Nothman`_.

- :class:`tree.DecisionTreeClassifier` now exposes an ``apply`` method
for retrieving the leaf indices samples are predicted as. By
`Daniel Galvez`_ and `Gilles Louppe`_.

- Speed up decision tree regressors, random forest regressors, extra trees
regressors and gradient boosting estimators by computing a proxy
of the impurity improvement during the tree growth. The proxy quantity is
such that the split that maximizes this value also maximizes the impurity
improvement. By `Arnaud Joly`_, `Jacob Schreiber`_ and `Gilles Louppe`_


Bug fixes
.........

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