* some bug fixes. * minor fixes to whatsnew * typo in whatsnew * add test for n_components = 1 transform in dict learning * feature extraction doc fix * fix broken test * revert aggressive input validation changes * in SelectFromModel, don't store threshold_ in transform. If we called "fit", use estimates from last "fit". * move score from EllipticEnvelope to OutlierDetectionMixin * revert changes to Tfidf documentation * remove dummy input validation from whatsnew * fix text feature tests * rewrite from_model threshold again... * remove stray condition * fix self.estimator -> estimator, slightly more interesting test * typo in comment * Fix issues in SparseEncoder, add tests. more explicit explanation of SparseEncoder change, add issue numbers to whatsnew * minor fixes in whats_new.rst * slightly more consistency with tuples for shapes * not longer typo |
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|---|---|---|
| .. | ||
| tests | ||
| __init__.py | ||
| _gradient_boosting.pyx | ||
| bagging.py | ||
| base.py | ||
| forest.py | ||
| gradient_boosting.py | ||
| iforest.py | ||
| partial_dependence.py | ||
| setup.py | ||
| voting_classifier.py | ||
| weight_boosting.py | ||