@@ -110,9 +110,10 @@ Bug fixes
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``download_if_missing `` keyword. This was fixed in :issue: `7944 ` by
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:user: `Ralf Gommers <rgommers> `.
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- - Fix a bug regarding fitting :class: `sklearn.cluster.KMeans ` with a
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- sparse array X and initial centroids, where X's means were unnecessarily
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- being subtracted from the centroids. :issue: `7872 ` by `Josh Karnofsky <https://github.com/jkarno >`_.
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+ - Fix a bug regarding fitting :class: `sklearn.cluster.KMeans ` with a sparse
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+ array X and initial centroids, where X's means were unnecessarily being
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+ subtracted from the centroids. :issue: `7872 ` by `Josh Karnofsky
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+ <https://github.com/jkarno> `_.
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- Fix estimators to accept a ``sample_weight `` parameter of type
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``pandas.Series `` in their ``fit `` function. :issue: `7825 ` by
@@ -126,13 +127,16 @@ Bug fixes
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:class: `sklearn.ensemble.GradientBoostingRegressor ` ignored the
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``min_impurity_split `` parameter.
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:issue: `8006 ` by :user: `Sebastian Pölsterl <sebp> `.
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- - Fixes to the input validation in :class: `sklearn.covariance.EllipticEnvelope ` by
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- `Andreas Müller `_.
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- - Fix shape output shape of :class: `sklearn.decomposition.DictionaryLearning ` transform
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- for one-dimensional data by `Andreas Müller `_.
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+ - Fixes to the input validation in
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+ :class: `sklearn.covariance.EllipticEnvelope ` by `Andreas Müller `_.
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+
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+ - Fix shape output shape of
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+ :class: `sklearn.decomposition.DictionaryLearning ` transform for
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+ one-dimensional data by `Andreas Müller `_.
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- - Several fixes to input validation in :class: `multiclass.OutputCodeClassifier ` by `Andreas Müller `_
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+ - Several fixes to input validation in
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+ :class: `multiclass.OutputCodeClassifier ` by `Andreas Müller `_
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API changes summary
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-------------------
@@ -146,29 +150,26 @@ API changes summary
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- Gradient boosting base models are not longer estimators. By `Andreas Müller `_.
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- - `feature_extraction.text.TfidfTransformer ` now supports numpy arrays as inputs, and produces numpy
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- arrays for list inputs and numpy array inputs. By `Andreas `Müller_.
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+ - :class: `feature_extraction.text.TfidfTransformer ` now supports numpy
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+ arrays as inputs, and produces numpy arrays for list inputs and numpy
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+ array inputs. By `Andreas `Müller_.
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- - `feature_selection.SelectFromModel` now validates the ``threshold ``
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+ - :class: `feature_selection.SelectFromModel` now validates the ``threshold ``
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parameter and sets the ``threshold_ `` attribute during the call to
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- ``fit ``, and no longer during the call to ``transform` ``, by `Andreas Müller `_.
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-
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- - `features_selection.SelectFromModel ` now has a ``partial_fit `` method only if the underlying
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- estimator does. By `Andreas Müller `_.
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+ ``fit ``, and no longer during the call to ``transform` ``, by `Andreas
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+ Müller `_.
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- - All checks in ``utils.estimator_checks ``, in particular :func: `utils.estimator_checks.check_estimator ` now
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- accept estimator instances. All checks apart from ``check_estimator `` do not accept estimator classes any more.
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- By `Andreas Müller `_.
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+ - :class: `features_selection.SelectFromModel ` now has a ``partial_fit ``
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+ method only if the underlying estimator does. By `Andreas Müller `_.
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- - The ``include_others `` and ``dont_test `` parameters of :func: `utils.testing.all_estimators ` are deprecated
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- and are assumed ``True ``, by `Andreas Müller `_.
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+ - :class: `dummy.DummyClassifier ` and :class: `dummy.DummyRegressor ` now do
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+ input validation on ``X `` and check whether ``X `` and ``y `` are of the
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+ same length, by `Andreas Müller `_.
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+ - :class: `multiclass.OneVsRestClassifier ` now has a ``partial_fit `` method
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+ only if the underlying estimator does. By `Andreas Müller `_.
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- - :class: `dummy.DummyClassifier ` and :class: `dummy.DummyRegressor ` now do input validation on ``X `` and check
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- whether ``X `` and ``y `` are of the same length, by `Andreas Müller `_.
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- - :class: `multiclass.OneVsRestClassifier ` now has a ``partial_fit `` method only if the underlying estimator does.
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- By `Andreas Müller `_.
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.. _changes_0_18_1 :
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Version 0.18.1
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