10000 [MRG] add whats_new entry for KMeans sample weight support by jnhansen · Pull Request #11119 · scikit-learn/scikit-learn · GitHub
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[MRG] add whats_new entry for KMeans sample weight support #11119

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Merged
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May 23, 2018
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[MRG] add whats_new entry for KMeans sample weight support #11119

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add entry for KMeans sample weight support
jnhansen May 22, 2018
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jnhansen May 23, 2018
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13 changes: 11 additions & 2 deletions doc/whats_new/v0.20.rst
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Expand Up @@ -112,6 +112,10 @@ Decomposition, manifold learning and clustering
clustering via ``linkage='single'``. :issue:`9372` by
:user:`Leland McInnes <lmcinnes>` and :user:`Steve Astels <sastels>`.

- :class:`cluster.KMeans` and :class:`cluster.MiniBatchKMeans` now support
sample weights via new parameter ``sample_weight`` in ``fit`` function.
:issue:`10933` by :user:`Johannes Hansen <jnhansen>`.

Metrics

- Partial AUC is available via ``max_fpr`` parameter in
Expand Down Expand Up @@ -160,7 +164,7 @@ Classifiers and regressors
:class:`neighbors.RadiusNeighborsClassifier` are now
parallelized according to ``n_jobs`` regardless of ``algorithm``.
:issue:`8003` by :user:`Joël Billaud <recamshak>`.

- Memory usage improvement for :func:`_class_means` and :func:`_class_cov`
in :class:`discriminant_analysis`.
:issue:`10898` by :user:`Nanxin Chen <bobchennan>`.`
Expand Down Expand Up @@ -190,7 +194,7 @@ Preprocessing

- :class:`preprocessing.PolynomialFeatures` now supports sparse input.
:issue:`10452` by :user:`Aman Dalmia <dalmia>` and `Joel Nothman`_.

- Enable the call to :meth:`get_feature_names` in unfitted
:class:`feature_extraction.text.CountVectorizer` initialized with a
vocabulary. :issue:`10908` by :user:`Mohamed Maskani <maskani-moh>`.
Expand Down Expand Up @@ -611,3 +615,8 @@ Changes to estimator checks
- Add tests in :func:`estimator_checks.check_estimator` to check that an
estimator can handle read-only memmap input data. :issue:`10663` by
:user:`Arthur Mensch <arthurmensch>` and :user:`Loïc Estève <lesteve>`.

- :func:`estimator_checks.check_sample_weights_pandas_series` now uses 8 rather
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not sure we usually document utils but I guess there's no harm in documenting this.

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I agree this is not a very interesting change, but given that there was a dedicated section for changes to estimator checks already I added it

than 6 samples to accommodate for the default number of clusters in
:class:`cluster.KMeans`.
:issue:`10933` by :user:`Johannes Hansen <jnhansen>`.
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