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<section id="version-0-23">
<span id="release-notes-0-23"></span><h1>Version 0.23<a class="headerlink" href="#version-0-23" title="Link to this heading">#</a></h1>
<p>For a short description of the main highlights of the release, please refer to
<a class="reference internal" href="../auto_examples/release_highlights/plot_release_highlights_0_23_0.html#sphx-glr-auto-examples-release-highlights-plot-release-highlights-0-23-0-py"><span class="std std-ref">Release Highlights for scikit-learn 0.23</span></a>.</p>
<p class="rubric">Legend for changelogs</p>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-success">Major Feature</span></span> something big that you couldn’t do before.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-success">Feature</span></span> something that you couldn’t do before.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-info">Efficiency</span></span> an existing feature now may not require as much computation or
memory.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-info">Enhancement</span></span> a miscellaneous minor improvement.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> something that previously didn’t work as documented – or according
to reasonable expectations – should now work.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-warning">API Change</span></span> you will need to change your code to have the same effect in the
future; or a feature will be removed in the future.</p></li>
</ul>
<section id="version-0-23-2">
<span id="changes-0-23-2"></span><h2>Version 0.23.2<a class="headerlink" href="#version-0-23-2" title="Link to this heading">#</a></h2>
<section id="changed-models">
<h3>Changed models<a class="headerlink" href="#changed-models" title="Link to this heading">#</a></h3>
<p>The following estimators and functions, when fit with the same data and
parameters, may produce different models from the previous version. This often
occurs due to changes in the modelling logic (bug fixes or enhancements), or in
random sampling procedures.</p>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <code class="docutils literal notranslate"><span class="pre">inertia_</span></code> attribute of <a class="reference internal" href="../modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.cluster.MiniBatchKMeans.html#sklearn.cluster.MiniBatchKMeans" title="sklearn.cluster.MiniBatchKMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.MiniBatchKMeans</span></code></a>.</p></li>
</ul>
<p>Details are listed in the changelog below.</p>
<p>(While we are trying to better inform users by providing this information, we
cannot assure that this list is complete.)</p>
</section>
<section id="changelog">
<h3>Changelog<a class="headerlink" href="#changelog" title="Link to this heading">#</a></h3>
<section id="sklearn-cluster">
<h4><a class="reference internal" href="../api/sklearn.cluster.html#module-sklearn.cluster" title="sklearn.cluster"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cluster</span></code></a><a class="headerlink" href="#sklearn-cluster" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a> where rounding errors could
prevent convergence to be declared when <code class="docutils literal notranslate"><span class="pre">tol=0</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17959">#17959</a> by
<a class="reference external" href="https://github.com/jeremiedbb">Jérémie du Boisberranger</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.cluster.MiniBatchKMeans.html#sklearn.cluster.MiniBatchKMeans" title="sklearn.cluster.MiniBatchKMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.MiniBatchKMeans</span></code></a> where the reported inertia was incorrectly
weighted by the sample weights. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17848">#17848</a> by
<a class="reference external" href="https://github.com/jeremiedbb">Jérémie du Boisberranger</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.cluster.MeanShift.html#sklearn.cluster.MeanShift" title="sklearn.cluster.MeanShift"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.MeanShift</span></code></a> with <code class="docutils literal notranslate"><span class="pre">bin_seeding=True</span></code>. When
the estimated bandwidth is 0, the behavior is equivalent to
<code class="docutils literal notranslate"><span class="pre">bin_seeding=False</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17742">#17742</a> by <a class="reference external" href="https://github.com/jeremiedbb">Jeremie du Boisberranger</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.cluster.AffinityPropagation.html#sklearn.cluster.AffinityPropagation" title="sklearn.cluster.AffinityPropagation"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.AffinityPropagation</span></code></a>, that
gives incorrect clusters when the array dtype is float32.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17995">#17995</a> by <a class="reference external" href="https://github.com/Wikilicious">Thomaz Santana</a> and
<a class="reference external" href="https://github.com/amy12xx">Amanda Dsouza</a>.</p></li>
</ul>
</section>
<section id="sklearn-decomposition">
<h4><a class="reference internal" href="../api/sklearn.decomposition.html#module-sklearn.decomposition" title="sklearn.decomposition"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.decomposition</span></code></a><a class="headerlink" href="#sklearn-decomposition" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed a bug in
<a class="reference internal" href="../modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html#sklearn.decomposition.MiniBatchDictionaryLearning.partial_fit" title="sklearn.decomposition.MiniBatchDictionaryLearning.partial_fit"><code class="xref py py-func docutils literal notranslate"><span class="pre">decomposition.MiniBatchDictionaryLearning.partial_fit</span></code></a> which should
update the dictionary by iterating only once over a mini-batch.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17433">#17433</a> by <a class="reference external" href="https://github.com/cmarmo">Chiara Marmo</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Avoid overflows on Windows in
<a class="reference internal" href="../modules/generated/sklearn.decomposition.IncrementalPCA.html#sklearn.decomposition.IncrementalPCA.partial_fit" title="sklearn.decomposition.IncrementalPCA.partial_fit"><code class="xref py py-func docutils literal notranslate"><span class="pre">decomposition.IncrementalPCA.partial_fit</span></code></a> for large <code class="docutils literal notranslate"><span class="pre">batch_size</span></code> and
<code class="docutils literal notranslate"><span class="pre">n_samples</span></code> values.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17985">#17985</a> by <a class="reference external" href="https://github.com/aldee153">Alan Butler</a> and
<a class="reference external" href="https://github.com/amy12xx">Amanda Dsouza</a>.</p></li>
</ul>
</section>
<section id="sklearn-ensemble">
<h4><a class="reference internal" href="../api/sklearn.ensemble.html#module-sklearn.ensemble" title="sklearn.ensemble"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.ensemble</span></code></a><a class="headerlink" href="#sklearn-ensemble" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed bug in <code class="docutils literal notranslate"><span class="pre">ensemble.MultinomialDeviance</span></code> where the
average of logloss was incorrectly calculated as sum of logloss.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17694">#17694</a> by <a class="reference external" href="https://github.com/rempfler">Markus Rempfler</a> and
<a class="reference external" href="https://github.com/t-kusanagi2">Tsutomu Kusanagi</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixes <a class="reference internal" href="../modules/generated/sklearn.ensemble.StackingClassifier.html#sklearn.ensemble.StackingClassifier" title="sklearn.ensemble.StackingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.StackingClassifier</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.ensemble.StackingRegressor.html#sklearn.ensemble.StackingRegressor" title="sklearn.ensemble.StackingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.StackingRegressor</span></code></a> compatibility with estimators that
do not define <code class="docutils literal notranslate"><span class="pre">n_features_in_</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17357">#17357</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<section id="sklearn-feature-extraction">
<h4><a class="reference internal" href="../api/sklearn.feature_extraction.html#module-sklearn.feature_extraction" title="sklearn.feature_extraction"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.feature_extraction</span></code></a><a class="headerlink" href="#sklearn-feature-extraction" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixes bug in <a class="reference internal" href="../modules/generated/sklearn.feature_extraction.text.CountVectorizer.html#sklearn.feature_extraction.text.CountVectorizer" title="sklearn.feature_extraction.text.CountVectorizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">feature_extraction.text.CountVectorizer</span></code></a> where
sample order invariance was broken when <code class="docutils literal notranslate"><span class="pre">max_features</span></code> was set and features
had the same count. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18016">#18016</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>, <a class="reference external" href="https://github.com/rth">Roman Yurchak</a>, and
<a class="reference external" href="https://joelnothman.com/">Joel Nothman</a>.</p></li>
</ul>
</section>
<section id="sklearn-linear-model">
<h4><a class="reference internal" href="../api/sklearn.linear_model.html#module-sklearn.linear_model" title="sklearn.linear_model"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.linear_model</span></code></a><a class="headerlink" href="#sklearn-linear-model" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.linear_model.lars_path.html#sklearn.linear_model.lars_path" title="sklearn.linear_model.lars_path"><code class="xref py py-func docutils literal notranslate"><span class="pre">linear_model.lars_path</span></code></a> does not overwrite <code class="docutils literal notranslate"><span class="pre">X</span></code> when
<code class="docutils literal notranslate"><span class="pre">X_copy=True</span></code> and <code class="docutils literal notranslate"><span class="pre">Gram='auto'</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17914">#17914</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<section id="sklearn-manifold">
<h4><a class="reference internal" href="../api/sklearn.manifold.html#module-sklearn.manifold" title="sklearn.manifold"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.manifold</span></code></a><a class="headerlink" href="#sklearn-manifold" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed a bug where <a class="reference internal" href="../modules/generated/sklearn.metrics.pairwise_distances.html#sklearn.metrics.pairwise_distances" title="sklearn.metrics.pairwise_distances"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.pairwise_distances</span></code></a> would raise an
error if <code class="docutils literal notranslate"><span class="pre">metric='seuclidean'</span></code> and <code class="docutils literal notranslate"><span class="pre">X</span></code> is not type <code class="docutils literal notranslate"><span class="pre">np.float64</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/15730">#15730</a> by <a class="reference external" href="https://github.com/ForrestCKoch">Forrest Koch</a>.</p></li>
</ul>
</section>
<section id="sklearn-metrics">
<h4><a class="reference internal" href="../api/sklearn.metrics.html#module-sklearn.metrics" title="sklearn.metrics"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.metrics</span></code></a><a class="headerlink" href="#sklearn-metrics" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.metrics.mean_squared_error.html#sklearn.metrics.mean_squared_error" title="sklearn.metrics.mean_squared_error"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.mean_squared_error</span></code></a> where the
average of multiple RMSE values was incorrectly calculated as the root of the
average of multiple MSE values.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17309">#17309</a> by <a class="reference external" href="https://github.com/swierh">Swier Heeres</a>.</p></li>
</ul>
</section>
<section id="sklearn-pipeline">
<h4><a class="reference internal" href="../api/sklearn.pipeline.html#module-sklearn.pipeline" title="sklearn.pipeline"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.pipeline</span></code></a><a class="headerlink" href="#sklearn-pipeline" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.pipeline.FeatureUnion.html#sklearn.pipeline.FeatureUnion" title="sklearn.pipeline.FeatureUnion"><code class="xref py py-class docutils literal notranslate"><span class="pre">pipeline.FeatureUnion</span></code></a> raises a deprecation warning when
<code class="docutils literal notranslate"><span class="pre">None</span></code> is included in <code class="docutils literal notranslate"><span class="pre">transformer_list</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17360">#17360</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<section id="sklearn-utils">
<h4><a class="reference internal" href="../api/sklearn.utils.html#module-sklearn.utils" title="sklearn.utils"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.utils</span></code></a><a class="headerlink" href="#sklearn-utils" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fix <a class="reference internal" href="../modules/generated/sklearn.utils.estimator_checks.check_estimator.html#sklearn.utils.estimator_checks.check_estimator" title="sklearn.utils.estimator_checks.check_estimator"><code class="xref py py-func docutils literal notranslate"><span class="pre">utils.estimator_checks.check_estimator</span></code></a> so that all test
cases support the <code class="docutils literal notranslate"><span class="pre">binary_only</span></code> estimator tag.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17812">#17812</a> by <a class="reference external" href="https://github.com/brcharron">Bruno Charron</a>.</p></li>
</ul>
</section>
</section>
</section>
<section id="version-0-23-1">
<span id="changes-0-23-1"></span><h2>Version 0.23.1<a class="headerlink" href="#version-0-23-1" title="Link to this heading">#</a></h2>
<p><strong>May 18 2020</strong></p>
<section id="id1">
<h3>Changelog<a class="headerlink" href="#id1" title="Link to this heading">#</a></h3>
<section id="id2">
<h4><a class="reference internal" href="../api/sklearn.cluster.html#module-sklearn.cluster" title="sklearn.cluster"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cluster</span></code></a><a class="headerlink" href="#id2" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-info">Efficiency</span></span> <a class="reference internal" href="../modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a> efficiency has been improved for very
small datasets. In particular it cannot spawn idle threads any more.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17210">#17210</a> and <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17235">#17235</a> by <a class="reference external" href="https://github.com/jeremiedbb">Jeremie du Boisberranger</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a> where the sample weights
provided by the user were modified in place. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17204">#17204</a> by
<a class="reference external" href="https://github.com/jeremiedbb">Jeremie du Boisberranger</a>.</p></li>
</ul>
</section>
<section id="miscellaneous">
<h4>Miscellaneous<a class="headerlink" href="#miscellaneous" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed a bug in the <code class="docutils literal notranslate"><span class="pre">repr</span></code> of third-party estimators that use a
<code class="docutils literal notranslate"><span class="pre">**kwargs</span></code> parameter in their constructor, when <code class="docutils literal notranslate"><span class="pre">changed_only</span></code> is True
which is now the default. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17205">#17205</a> by <a class="reference external" href="https://github.com/NicolasHug">Nicolas Hug</a>.</p></li>
</ul>
</section>
</section>
</section>
<section id="version-0-23-0">
<span id="changes-0-23"></span><h2>Version 0.23.0<a class="headerlink" href="#version-0-23-0" title="Link to this heading">#</a></h2>
<p><strong>May 12 2020</strong></p>
<section id="enforcing-keyword-only-arguments">
<h3>Enforcing keyword-only arguments<a class="headerlink" href="#enforcing-keyword-only-arguments" title="Link to this heading">#</a></h3>
<p>In an effort to promote clear and non-ambiguous use of the library, most
constructor and function parameters are now expected to be passed as keyword
arguments (i.e. using the <code class="docutils literal notranslate"><span class="pre">param=value</span></code> syntax) instead of positional. To
ease the transition, a <code class="docutils literal notranslate"><span class="pre">FutureWarning</span></code> is raised if a keyword-only parameter
is used as positional. In version 1.0 (renaming of 0.25), these parameters
will be strictly keyword-only, and a <code class="docutils literal notranslate"><span class="pre">TypeError</span></code> will be raised.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/15005">#15005</a> by <a class="reference external" href="https://joelnothman.com/">Joel Nothman</a>, <a class="reference external" href="https://github.com/adrinjalali">Adrin Jalali</a>, <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>, and
<a class="reference external" href="https://github.com/NicolasHug">Nicolas Hug</a>. See <a class="reference external" href="https://scikit-learn-enhancement-proposals.readthedocs.io/en/latest/slep009/proposal.html">SLEP009</a>
for more details.</p>
</section>
<section id="id3">
<h3>Changed models<a class="headerlink" href="#id3" title="Link to this heading">#</a></h3>
<p>The following estimators and functions, when fit with the same data and
parameters, may produce different models from the previous version. This often
occurs due to changes in the modelling logic (bug fixes or enhancements), or in
random sampling procedures.</p>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.ensemble.BaggingClassifier.html#sklearn.ensemble.BaggingClassifier" title="sklearn.ensemble.BaggingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.BaggingClassifier</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.ensemble.BaggingRegressor.html#sklearn.ensemble.BaggingRegressor" title="sklearn.ensemble.BaggingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.BaggingRegressor</span></code></a>,
and <a class="reference internal" href="../modules/generated/sklearn.ensemble.IsolationForest.html#sklearn.ensemble.IsolationForest" title="sklearn.ensemble.IsolationForest"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.IsolationForest</span></code></a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a> with <code class="docutils literal notranslate"><span class="pre">algorithm="elkan"</span></code> and
<code class="docutils literal notranslate"><span class="pre">algorithm="full"</span></code>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.cluster.Birch.html#sklearn.cluster.Birch" title="sklearn.cluster.Birch"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.Birch</span></code></a></p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <code class="docutils literal notranslate"><span class="pre">compose.ColumnTransformer.get_feature_names</span></code></p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer.fit" title="sklearn.compose.ColumnTransformer.fit"><code class="xref py py-func docutils literal notranslate"><span class="pre">compose.ColumnTransformer.fit</span></code></a></p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.datasets.make_multilabel_classification.html#sklearn.datasets.make_multilabel_classification" title="sklearn.datasets.make_multilabel_classification"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.make_multilabel_classification</span></code></a></p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.decomposition.PCA.html#sklearn.decomposition.PCA" title="sklearn.decomposition.PCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.PCA</span></code></a> with <code class="docutils literal notranslate"><span class="pre">n_components='mle'</span></code></p></li>
<li><p><span class="raw-html"><span class="badge text-bg-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.decomposition.NMF.html#sklearn.decomposition.NMF" title="sklearn.decomposition.NMF"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.NMF</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.decomposition.non_negative_factorization.html#sklearn.decomposition.non_negative_factorization" title="sklearn.decomposition.non_negative_factorization"><code class="xref py py-func docutils literal notranslate"><span class="pre">decomposition.non_negative_factorization</span></code></a> with float32 dtype input.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.decomposition.KernelPCA.html#sklearn.decomposition.KernelPCA.inverse_transform" title="sklearn.decomposition.KernelPCA.inverse_transform"><code class="xref py py-func docutils literal notranslate"><span class="pre">decomposition.KernelPCA.inverse_transform</span></code></a></p></li>
<li><p><span class="raw-html"><span class="badge text-bg-warning">API Change</span></span> <a class="reference internal" href="../modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html#sklearn.ensemble.HistGradientBoostingClassifier" title="sklearn.ensemble.HistGradientBoostingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.HistGradientBoostingClassifier</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html#sklearn.ensemble.HistGradientBoostingRegressor" title="sklearn.ensemble.HistGradientBoostingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.HistGradientBoostingRegressor</span></code></a></p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <code class="docutils literal notranslate"><span class="pre">estimator_samples_</span></code> in <a class="reference internal" href="../modules/generated/sklearn.ensemble.BaggingClassifier.html#sklearn.ensemble.BaggingClassifier" title="sklearn.ensemble.BaggingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.BaggingClassifier</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.ensemble.BaggingRegressor.html#sklearn.ensemble.BaggingRegressor" title="sklearn.ensemble.BaggingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.BaggingRegressor</span></code></a> and <a class="reference internal" href="../modules/generated/sklearn.ensemble.IsolationForest.html#sklearn.ensemble.IsolationForest" title="sklearn.ensemble.IsolationForest"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.IsolationForest</span></code></a></p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.ensemble.StackingClassifier.html#sklearn.ensemble.StackingClassifier" title="sklearn.ensemble.StackingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.StackingClassifier</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.ensemble.StackingRegressor.html#sklearn.ensemble.StackingRegressor" title="sklearn.ensemble.StackingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.StackingRegressor</span></code></a> with <code class="docutils literal notranslate"><span class="pre">sample_weight</span></code></p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html#sklearn.gaussian_process.GaussianProcessRegressor" title="sklearn.gaussian_process.GaussianProcessRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">gaussian_process.GaussianProcessRegressor</span></code></a></p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.linear_model.RANSACRegressor.html#sklearn.linear_model.RANSACRegressor" title="sklearn.linear_model.RANSACRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.RANSACRegressor</span></code></a> with <code class="docutils literal notranslate"><span class="pre">sample_weight</span></code>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.linear_model.RidgeClassifierCV.html#sklearn.linear_model.RidgeClassifierCV" title="sklearn.linear_model.RidgeClassifierCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.RidgeClassifierCV</span></code></a></p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.metrics.mean_squared_error.html#sklearn.metrics.mean_squared_error" title="sklearn.metrics.mean_squared_error"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.mean_squared_error</span></code></a> with <code class="docutils literal notranslate"><span class="pre">squared</span></code> and
<code class="docutils literal notranslate"><span class="pre">multioutput='raw_values'</span></code>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.metrics.mutual_info_score.html#sklearn.metrics.mutual_info_score" title="sklearn.metrics.mutual_info_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.mutual_info_score</span></code></a> with negative scores.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.metrics.confusion_matrix.html#sklearn.metrics.confusion_matrix" title="sklearn.metrics.confusion_matrix"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.confusion_matrix</span></code></a> with zero length <code class="docutils literal notranslate"><span class="pre">y_true</span></code> and <code class="docutils literal notranslate"><span class="pre">y_pred</span></code></p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.neural_network.MLPClassifier.html#sklearn.neural_network.MLPClassifier" title="sklearn.neural_network.MLPClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">neural_network.MLPClassifier</span></code></a></p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.preprocessing.StandardScaler.html#sklearn.preprocessing.StandardScaler" title="sklearn.preprocessing.StandardScaler"><code class="xref py py-class docutils literal notranslate"><span class="pre">preprocessing.StandardScaler</span></code></a> with <code class="docutils literal notranslate"><span class="pre">partial_fit</span></code> and sparse
input.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.preprocessing.Normalizer.html#sklearn.preprocessing.Normalizer" title="sklearn.preprocessing.Normalizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">preprocessing.Normalizer</span></code></a> with norm=’max’</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Any model using the <code class="docutils literal notranslate"><span class="pre">svm.libsvm</span></code> or the <code class="docutils literal notranslate"><span class="pre">svm.liblinear</span></code> solver,
including <a class="reference internal" href="../modules/generated/sklearn.svm.LinearSVC.html#sklearn.svm.LinearSVC" title="sklearn.svm.LinearSVC"><code class="xref py py-class docutils literal notranslate"><span class="pre">svm.LinearSVC</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.svm.LinearSVR.html#sklearn.svm.LinearSVR" title="sklearn.svm.LinearSVR"><code class="xref py py-class docutils literal notranslate"><span class="pre">svm.LinearSVR</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.svm.NuSVC.html#sklearn.svm.NuSVC" title="sklearn.svm.NuSVC"><code class="xref py py-class docutils literal notranslate"><span class="pre">svm.NuSVC</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.svm.NuSVR.html#sklearn.svm.NuSVR" title="sklearn.svm.NuSVR"><code class="xref py py-class docutils literal notranslate"><span class="pre">svm.NuSVR</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.svm.OneClassSVM.html#sklearn.svm.OneClassSVM" title="sklearn.svm.OneClassSVM"><code class="xref py py-class docutils literal notranslate"><span class="pre">svm.OneClassSVM</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.svm.SVC.html#sklearn.svm.SVC" title="sklearn.svm.SVC"><code class="xref py py-class docutils literal notranslate"><span class="pre">svm.SVC</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.svm.SVR.html#sklearn.svm.SVR" title="sklearn.svm.SVR"><code class="xref py py-class docutils literal notranslate"><span class="pre">svm.SVR</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.linear_model.LogisticRegression.html#sklearn.linear_model.LogisticRegression" title="sklearn.linear_model.LogisticRegression"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.LogisticRegression</span></code></a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.tree.DecisionTreeClassifier.html#sklearn.tree.DecisionTreeClassifier" title="sklearn.tree.DecisionTreeClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">tree.DecisionTreeClassifier</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.tree.ExtraTreeClassifier.html#sklearn.tree.ExtraTreeClassifier" title="sklearn.tree.ExtraTreeClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">tree.ExtraTreeClassifier</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.ensemble.GradientBoostingClassifier.html#sklearn.ensemble.GradientBoostingClassifier" title="sklearn.ensemble.GradientBoostingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.GradientBoostingClassifier</span></code></a> as well as <code class="docutils literal notranslate"><span class="pre">predict</span></code> method of
<a class="reference internal" href="../modules/generated/sklearn.tree.DecisionTreeRegressor.html#sklearn.tree.DecisionTreeRegressor" title="sklearn.tree.DecisionTreeRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">tree.DecisionTreeRegressor</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.tree.ExtraTreeRegressor.html#sklearn.tree.ExtraTreeRegressor" title="sklearn.tree.ExtraTreeRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">tree.ExtraTreeRegressor</span></code></a>, and
<a class="reference internal" href="../modules/generated/sklearn.ensemble.GradientBoostingRegressor.html#sklearn.ensemble.GradientBoostingRegressor" title="sklearn.ensemble.GradientBoostingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.GradientBoostingRegressor</span></code></a> and read-only float32 input in
<code class="docutils literal notranslate"><span class="pre">predict</span></code>, <code class="docutils literal notranslate"><span class="pre">decision_path</span></code> and <code class="docutils literal notranslate"><span class="pre">predict_proba</span></code>.</p></li>
</ul>
<p>Details are listed in the changelog below.</p>
<p>(While we are trying to better inform users by providing this information, we
cannot assure that this list is complete.)</p>
</section>
<section id="id4">
<h3>Changelog<a class="headerlink" href="#id4" title="Link to this heading">#</a></h3>
<section id="id5">
<h4><a class="reference internal" href="../api/sklearn.cluster.html#module-sklearn.cluster" title="sklearn.cluster"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cluster</span></code></a><a class="headerlink" href="#id5" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-info">Efficiency</span></span> <a class="reference internal" href="../modules/generated/sklearn.cluster.Birch.html#sklearn.cluster.Birch" title="sklearn.cluster.Birch"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.Birch</span></code></a> implementation of the predict method
avoids high memory footprint by calculating the distances matrix using
a chunked scheme.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16149">#16149</a> by <a class="reference external" href="https://github.com/jeremiedbb">Jeremie du Boisberranger</a> and
<a class="reference external" href="https://github.com/alexshacked">Alex Shacked</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-info">Efficiency</span></span> <span class="raw-html"><span class="badge text-bg-success">Major Feature</span></span> The critical parts of <a class="reference internal" href="../modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a>
have a more optimized implementation. Parallelism is now over the data
instead of over initializations allowing better scalability. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/11950">#11950</a> by
<a class="reference external" href="https://github.com/jeremiedbb">Jeremie du Boisberranger</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a> now supports sparse data when
<code class="docutils literal notranslate"><span class="pre">solver</span> <span class="pre">=</span> <span class="pre">"elkan"</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/11950">#11950</a> by
<a class="reference external" href="https://github.com/jeremiedbb">Jeremie du Boisberranger</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.cluster.AgglomerativeClustering.html#sklearn.cluster.AgglomerativeClustering" title="sklearn.cluster.AgglomerativeClustering"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.AgglomerativeClustering</span></code></a> has a faster and more
memory efficient implementation of single linkage clustering.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/11514">#11514</a> by <a class="reference external" href="https://github.com/lmcinnes">Leland McInnes</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a> with <code class="docutils literal notranslate"><span class="pre">algorithm="elkan"</span></code> now converges with
<code class="docutils literal notranslate"><span class="pre">tol=0</span></code> as with the default <code class="docutils literal notranslate"><span class="pre">algorithm="full"</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16075">#16075</a> by
<a class="reference external" href="https://github.com/kno10">Erich Schubert</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.cluster.Birch.html#sklearn.cluster.Birch" title="sklearn.cluster.Birch"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.Birch</span></code></a> where the <code class="docutils literal notranslate"><span class="pre">n_clusters</span></code> parameter
could not have a <code class="docutils literal notranslate"><span class="pre">np.int64</span></code> type. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16484">#16484</a>
by <a class="reference external" href="https://github.com/jeremiedbb">Jeremie du Boisberranger</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.cluster.AgglomerativeClustering.html#sklearn.cluster.AgglomerativeClustering" title="sklearn.cluster.AgglomerativeClustering"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.AgglomerativeClustering</span></code></a> add specific error when
distance matrix is not square and <code class="docutils literal notranslate"><span class="pre">affinity=precomputed</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16257">#16257</a> by <a class="reference external" href="https://github.com/simonamaggio">Simona Maggio</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-warning">API Change</span></span> The <code class="docutils literal notranslate"><span class="pre">n_jobs</span></code> parameter of <a class="reference internal" href="../modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.cluster.SpectralCoclustering.html#sklearn.cluster.SpectralCoclustering" title="sklearn.cluster.SpectralCoclustering"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.SpectralCoclustering</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.cluster.SpectralBiclustering.html#sklearn.cluster.SpectralBiclustering" title="sklearn.cluster.SpectralBiclustering"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.SpectralBiclustering</span></code></a> is deprecated. They now use OpenMP
based parallelism. For more details on how to control the number of threads,
please refer to our <a class="reference internal" href="../computing/parallelism.html#parallelism"><span class="std std-ref">Parallelism</span></a> notes. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/11950">#11950</a> by
<a class="reference external" href="https://github.com/jeremiedbb">Jeremie du Boisberranger</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-warning">API Change</span></span> The <code class="docutils literal notranslate"><span class="pre">precompute_distances</span></code> parameter of <a class="reference internal" href="../modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a> is
deprecated. It has no effect. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/11950">#11950</a> by
<a class="reference external" href="https://github.com/jeremiedbb">Jeremie du Boisberranger</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-warning">API Change</span></span> The <code class="docutils literal notranslate"><span class="pre">random_state</span></code> parameter has been added to
<a class="reference internal" href="../modules/generated/sklearn.cluster.AffinityPropagation.html#sklearn.cluster.AffinityPropagation" title="sklearn.cluster.AffinityPropagation"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.AffinityPropagation</span></code></a>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16801">#16801</a> by <a class="reference external" href="https://github.com/rcwoolston">@rcwoolston</a>
and <a class="reference external" href="https://github.com/cmarmo">Chiara Marmo</a>.</p></li>
</ul>
</section>
<section id="sklearn-compose">
<h4><a class="reference internal" href="../api/sklearn.compose.html#module-sklearn.compose" title="sklearn.compose"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.compose</span></code></a><a class="headerlink" href="#sklearn-compose" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-info">Efficiency</span></span> <a class="reference internal" href="../modules/generated/sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="sklearn.compose.ColumnTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">compose.ColumnTransformer</span></code></a> is now faster when working
with dataframes and strings are used to specific subsets of data for
transformers. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16431">#16431</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="sklearn.compose.ColumnTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">compose.ColumnTransformer</span></code></a> method <code class="docutils literal notranslate"><span class="pre">get_feature_names</span></code>
now supports <code class="docutils literal notranslate"><span class="pre">'passthrough'</span></code> columns, with the feature name being either
the column name for a dataframe, or <code class="docutils literal notranslate"><span class="pre">'xi'</span></code> for column index <code class="docutils literal notranslate"><span class="pre">i</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/14048">#14048</a> by <a class="reference external" href="https://github.com/lrjball">Lewis Ball</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="sklearn.compose.ColumnTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">compose.ColumnTransformer</span></code></a> method <code class="docutils literal notranslate"><span class="pre">get_feature_names</span></code> now
returns correct results when one of the transformer steps applies on an
empty list of columns <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/15963">#15963</a> by <a class="reference external" href="https://github.com/rth">Roman Yurchak</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer.fit" title="sklearn.compose.ColumnTransformer.fit"><code class="xref py py-func docutils literal notranslate"><span class="pre">compose.ColumnTransformer.fit</span></code></a> will error when selecting
a column name that is not unique in the dataframe. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16431">#16431</a> by
<a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<section id="sklearn-datasets">
<h4><a class="reference internal" href="../api/sklearn.datasets.html#module-sklearn.datasets" title="sklearn.datasets"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.datasets</span></code></a><a class="headerlink" href="#sklearn-datasets" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-info">Efficiency</span></span> <a class="reference internal" href="../modules/generated/sklearn.datasets.fetch_openml.html#sklearn.datasets.fetch_openml" title="sklearn.datasets.fetch_openml"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.fetch_openml</span></code></a> has reduced memory usage because
it no longer stores the full dataset text stream in memory. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16084">#16084</a> by
<a class="reference external" href="https://joelnothman.com/">Joel Nothman</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-success">Feature</span></span> <a class="reference internal" href="../modules/generated/sklearn.datasets.fetch_california_housing.html#sklearn.datasets.fetch_california_housing" title="sklearn.datasets.fetch_california_housing"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.fetch_california_housing</span></code></a> now supports
heterogeneous data using pandas by setting <code class="docutils literal notranslate"><span class="pre">as_frame=True</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/15950">#15950</a>
by <a class="reference external" href="https://github.com/gitsteph">Stephanie Andrews</a> and
<a class="reference external" href="https://github.com/reshamas">Reshama Shaikh</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-success">Feature</span></span> embedded dataset loaders <a class="reference internal" href="../modules/generated/sklearn.datasets.load_breast_cancer.html#sklearn.datasets.load_breast_cancer" title="sklearn.datasets.load_breast_cancer"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.load_breast_cancer</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.datasets.load_diabetes.html#sklearn.datasets.load_diabetes" title="sklearn.datasets.load_diabetes"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.load_diabetes</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits" title="sklearn.datasets.load_digits"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.load_digits</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.datasets.load_iris.html#sklearn.datasets.load_iris" title="sklearn.datasets.load_iris"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.load_iris</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.datasets.load_linnerud.html#sklearn.datasets.load_linnerud" title="sklearn.datasets.load_linnerud"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.load_linnerud</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.datasets.load_wine.html#sklearn.datasets.load_wine" title="sklearn.datasets.load_wine"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.load_wine</span></code></a> now support loading as a pandas <code class="docutils literal notranslate"><span class="pre">DataFrame</span></code> by
setting <code class="docutils literal notranslate"><span class="pre">as_frame=True</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/15980">#15980</a> by <a class="reference external" href="https://github.com/wconnell">@wconnell</a> and
<a class="reference external" href="https://github.com/reshamas">Reshama Shaikh</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-info">Enhancement</span></span> Added <code class="docutils literal notranslate"><span class="pre">return_centers</span></code> parameter in
<a class="reference internal" href="../modules/generated/sklearn.datasets.make_blobs.html#sklearn.datasets.make_blobs" title="sklearn.datasets.make_blobs"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.make_blobs</span></code></a>, which can be used to return
centers for each cluster.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/15709">#15709</a> by <a class="reference external" href="https://github.com/shivamgargsya">@shivamgargsya</a> and
<a class="reference external" href="https://github.com/venkyyuvy">Venkatachalam N</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-info">Enhancement</span></span> Functions <a class="reference internal" href="../modules/generated/sklearn.datasets.make_circles.html#sklearn.datasets.make_circles" title="sklearn.datasets.make_circles"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.make_circles</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.datasets.make_moons.html#sklearn.datasets.make_moons" title="sklearn.datasets.make_moons"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.make_moons</span></code></a> now accept two-element tuple.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/15707">#15707</a> by <a class="reference external" href="https://github.com/mjmikulski">Maciej J Mikulski</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.datasets.make_multilabel_classification.html#sklearn.datasets.make_multilabel_classification" title="sklearn.datasets.make_multilabel_classification"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.make_multilabel_classification</span></code></a> now generates
<code class="docutils literal notranslate"><span class="pre">ValueError</span></code> for arguments <code class="docutils literal notranslate"><span class="pre">n_classes</span> <span class="pre"><</span> <span class="pre">1</span></code> OR <code class="docutils literal notranslate"><span class="pre">length</span> <span class="pre"><</span> <span class="pre">1</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16006">#16006</a> by <a class="reference external" href="https://github.com/rushabh-v">Rushabh Vasani</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-warning">API Change</span></span> The <code class="docutils literal notranslate"><span class="pre">StreamHandler</span></code> was removed from <code class="docutils literal notranslate"><span class="pre">sklearn.logger</span></code> to avoid
double logging of messages in common cases where a handler is attached
to the root logger, and to follow the Python logging documentation
recommendation for libraries to leave the log message handling to
users and application code. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16451">#16451</a> by <a class="reference external" href="https://github.com/cdeil">Christoph Deil</a>.</p></li>
</ul>
</section>
<section id="id6">
<h4><a class="reference internal" href="../api/sklearn.decomposition.html#module-sklearn.decomposition" title="sklearn.decomposition"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.decomposition</span></code></a><a class="headerlink" href="#id6" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.decomposition.NMF.html#sklearn.decomposition.NMF" title="sklearn.decomposition.NMF"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.NMF</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.decomposition.non_negative_factorization.html#sklearn.decomposition.non_negative_factorization" title="sklearn.decomposition.non_negative_factorization"><code class="xref py py-func docutils literal notranslate"><span class="pre">decomposition.non_negative_factorization</span></code></a> now preserves float32 dtype.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16280">#16280</a> by <a class="reference external" href="https://github.com/jeremiedbb">Jeremie du Boisberranger</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.decomposition.TruncatedSVD.html#sklearn.decomposition.TruncatedSVD.transform" title="sklearn.decomposition.TruncatedSVD.transform"><code class="xref py py-func docutils literal notranslate"><span class="pre">decomposition.TruncatedSVD.transform</span></code></a> is now faster on
given sparse <code class="docutils literal notranslate"><span class="pre">csc</span></code> matrices. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16837">#16837</a> by <a class="reference external" href="https://github.com/wornbb">@wornbb</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.decomposition.PCA.html#sklearn.decomposition.PCA" title="sklearn.decomposition.PCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.PCA</span></code></a> with a float <code class="docutils literal notranslate"><span class="pre">n_components</span></code> parameter, will
exclusively choose the components that explain the variance greater than
<code class="docutils literal notranslate"><span class="pre">n_components</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/15669">#15669</a> by <a class="reference external" href="https://github.com/krishnachaitanya9">Krishna Chaitanya</a></p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.decomposition.PCA.html#sklearn.decomposition.PCA" title="sklearn.decomposition.PCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.PCA</span></code></a> with <code class="docutils literal notranslate"><span class="pre">n_components='mle'</span></code> now correctly
handles small eigenvalues, and does not infer 0 as the correct number of
components. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16224">#16224</a> by <a class="reference external" href="https://github.com/lschwetlick">Lisa Schwetlick</a>, and
<a class="reference external" href="https://github.com/gelavizh1">Gelavizh Ahmadi</a> and <a class="reference external" href="https://github.com/marijavlajic">Marija Vlajic Wheeler</a> and <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16841">#16841</a> by <a class="reference external" href="https://github.com/NicolasHug">Nicolas Hug</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.decomposition.KernelPCA.html#sklearn.decomposition.KernelPCA" title="sklearn.decomposition.KernelPCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.KernelPCA</span></code></a> method <code class="docutils literal notranslate"><span class="pre">inverse_transform</span></code> now
applies the correct inverse transform to the transformed data. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16655">#16655</a>
by <a class="reference external" href="https://github.com/lrjball">Lewis Ball</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed bug that was causing <a class="reference internal" href="../modules/generated/sklearn.decomposition.KernelPCA.html#sklearn.decomposition.KernelPCA" title="sklearn.decomposition.KernelPCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.KernelPCA</span></code></a> to sometimes
raise <code class="docutils literal notranslate"><span class="pre">invalid</span> <span class="pre">value</span> <span class="pre">encountered</span> <span class="pre">in</span> <span class="pre">multiply</span></code> during <code class="docutils literal notranslate"><span class="pre">fit</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16718">#16718</a> by <a class="reference external" href="https://github.com/gui-miotto">Gui Miotto</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-success">Feature</span></span> Added <code class="docutils literal notranslate"><span class="pre">n_components_</span></code> attribute to <a class="reference internal" href="../modules/generated/sklearn.decomposition.SparsePCA.html#sklearn.decomposition.SparsePCA" title="sklearn.decomposition.SparsePCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.SparsePCA</span></code></a>
and <a class="reference internal" href="../modules/generated/sklearn.decomposition.MiniBatchSparsePCA.html#sklearn.decomposition.MiniBatchSparsePCA" title="sklearn.decomposition.MiniBatchSparsePCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.MiniBatchSparsePCA</span></code></a>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16981">#16981</a> by
<a class="reference external" href="https://github.com/Reksbril">Mateusz Górski</a>.</p></li>
</ul>
</section>
<section id="id7">
<h4><a class="reference internal" href="../api/sklearn.ensemble.html#module-sklearn.ensemble" title="sklearn.ensemble"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.ensemble</span></code></a><a class="headerlink" href="#id7" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-success">Major Feature</span></span> <a class="reference internal" href="../modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html#sklearn.ensemble.HistGradientBoostingClassifier" title="sklearn.ensemble.HistGradientBoostingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.HistGradientBoostingClassifier</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html#sklearn.ensemble.HistGradientBoostingRegressor" title="sklearn.ensemble.HistGradientBoostingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.HistGradientBoostingRegressor</span></code></a> now support
<a class="reference internal" href="../glossary.html#term-sample_weight"><span class="xref std std-term">sample_weight</span></a>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/14696">#14696</a> by <a class="reference external" href="https://github.com/adrinjalali">Adrin Jalali</a> and <a class="reference external" href="https://github.com/NicolasHug">Nicolas Hug</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-success">Feature</span></span> Early stopping in
<a class="reference internal" href="../modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html#sklearn.ensemble.HistGradientBoostingClassifier" title="sklearn.ensemble.HistGradientBoostingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.HistGradientBoostingClassifier</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html#sklearn.ensemble.HistGradientBoostingRegressor" title="sklearn.ensemble.HistGradientBoostingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.HistGradientBoostingRegressor</span></code></a> is now determined with a
new <code class="docutils literal notranslate"><span class="pre">early_stopping</span></code> parameter instead of <code class="docutils literal notranslate"><span class="pre">n_iter_no_change</span></code>. Default value
is ‘auto’, which enables early stopping if there are at least 10,000
samples in the training set. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/14516">#14516</a> by <a class="reference external" href="https://github.com/johannfaouzi">Johann Faouzi</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-success">Major Feature</span></span> <a class="reference internal" href="../modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html#sklearn.ensemble.HistGradientBoostingClassifier" title="sklearn.ensemble.HistGradientBoostingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.HistGradientBoostingClassifier</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html#sklearn.ensemble.HistGradientBoostingRegressor" title="sklearn.ensemble.HistGradientBoostingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.HistGradientBoostingRegressor</span></code></a> now support monotonic
constraints, useful when features are supposed to have a positive/negative
effect on the target. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/15582">#15582</a> by <a class="reference external" href="https://github.com/NicolasHug">Nicolas Hug</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-warning">API Change</span></span> Added boolean <code class="docutils literal notranslate"><span class="pre">verbose</span></code> flag to classes:
<a class="reference internal" href="../modules/generated/sklearn.ensemble.VotingClassifier.html#sklearn.ensemble.VotingClassifier" title="sklearn.ensemble.VotingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.VotingClassifier</span></code></a> and <a class="reference internal" href="../modules/generated/sklearn.ensemble.VotingRegressor.html#sklearn.ensemble.VotingRegressor" title="sklearn.ensemble.VotingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.VotingRegressor</span></code></a>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16069">#16069</a> by <a class="reference external" href="https://github.com/spbail">Sam Bail</a>,
<a class="reference external" href="https://github.com/hannahbrucemacdonald">Hanna Bruce MacDonald</a>,
<a class="reference external" href="https://github.com/reshamas">Reshama Shaikh</a>, and
<a class="reference external" href="https://github.com/cmarmo">Chiara Marmo</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-warning">API Change</span></span> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html#sklearn.ensemble.HistGradientBoostingClassifier" title="sklearn.ensemble.HistGradientBoostingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.HistGradientBoostingClassifier</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html#sklearn.ensemble.HistGradientBoostingRegressor" title="sklearn.ensemble.HistGradientBoostingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.HistGradientBoostingRegressor</span></code></a> that would not respect the
<code class="docutils literal notranslate"><span class="pre">max_leaf_nodes</span></code> parameter if the criteria was reached at the same time as
the <code class="docutils literal notranslate"><span class="pre">max_depth</span></code> criteria. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16183">#16183</a> by <a class="reference external" href="https://github.com/NicolasHug">Nicolas Hug</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Changed the convention for <code class="docutils literal notranslate"><span class="pre">max_depth</span></code> parameter of
<a class="reference internal" href="../modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html#sklearn.ensemble.HistGradientBoostingClassifier" title="sklearn.ensemble.HistGradientBoostingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.HistGradientBoostingClassifier</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html#sklearn.ensemble.HistGradientBoostingRegressor" title="sklearn.ensemble.HistGradientBoostingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.HistGradientBoostingRegressor</span></code></a>. The depth now corresponds to
the number of edges to go from the root to the deepest leaf.