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<section id="version-1-4">
<span id="release-notes-1-4"></span><h1>Version 1.4<a class="headerlink" href="#version-1-4" 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_1_4_0.html#sphx-glr-auto-examples-release-highlights-plot-release-highlights-1-4-0-py"><span class="std std-ref">Release Highlights for scikit-learn 1.4</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-1-4-2">
<span id="changes-1-4-2"></span><h2>Version 1.4.2<a class="headerlink" href="#version-1-4-2" title="Link to this heading">#</a></h2>
<p><strong>April 2024</strong></p>
<p>This release only includes support for numpy 2.</p>
</section>
<section id="version-1-4-1">
<span id="changes-1-4-1"></span><h2>Version 1.4.1<a class="headerlink" href="#version-1-4-1" title="Link to this heading">#</a></h2>
<p><strong>February 2024</strong></p>
<section id="changed-models">
<h3>Changed models<a class="headerlink" href="#changed-models" title="Link to this heading">#</a></h3>
<ul class="simple">
<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">tree_.value</span></code> attribute in <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.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.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.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> changed from an weighted absolute count
of number of samples to a weighted fraction of the total number of samples.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27639">#27639</a> by <a class="reference external" href="https://github.com/samronsin">Samuel Ronsin</a>.</p></li>
</ul>
</section>
<section id="metadata-routing">
<h3>Metadata Routing<a class="headerlink" href="#metadata-routing" title="Link to this heading">#</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fix routing issue with <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">ColumnTransformer</span></code></a> when used
inside another meta-estimator.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28188">#28188</a> by <a class="reference external" href="https://github.com/adrinjalali">Adrin Jalali</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> No error is raised when no metadata is passed to a metaestimator that
includes a sub-estimator which doesn’t support metadata routing.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28256">#28256</a> by <a class="reference external" href="https://github.com/adrinjalali">Adrin Jalali</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fix <a class="reference internal" href="../modules/generated/sklearn.multioutput.MultiOutputRegressor.html#sklearn.multioutput.MultiOutputRegressor" title="sklearn.multioutput.MultiOutputRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">multioutput.MultiOutputRegressor</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.multioutput.MultiOutputClassifier.html#sklearn.multioutput.MultiOutputClassifier" title="sklearn.multioutput.MultiOutputClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">multioutput.MultiOutputClassifier</span></code></a> to work with estimators that don’t
consume any metadata when metadata routing is enabled.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28240">#28240</a> by <a class="reference external" href="https://github.com/adrinjalali">Adrin Jalali</a>.</p></li>
</ul>
</section>
<section id="dataframe-support">
<h3>DataFrame Support<a class="headerlink" href="#dataframe-support" title="Link to this heading">#</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-info">Enhancement</span></span> <span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Pandas and Polars dataframe are validated directly without
ducktyping checks.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28195">#28195</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<section id="changes-impacting-many-modules">
<h3>Changes impacting many modules<a class="headerlink" href="#changes-impacting-many-modules" title="Link to this heading">#</a></h3>
<ul>
<li><p><span class="raw-html"><span class="badge text-bg-info">Efficiency</span></span> <span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Partial revert of <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28191">#28191</a> to avoid a performance regression for
estimators relying on euclidean pairwise computation with
sparse matrices. The impacted estimators are:</p>
<ul class="simple">
<li><p><a class="reference internal" href="../modules/generated/sklearn.metrics.pairwise_distances_argmin.html#sklearn.metrics.pairwise_distances_argmin" title="sklearn.metrics.pairwise_distances_argmin"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.metrics.pairwise_distances_argmin</span></code></a></p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.metrics.pairwise_distances_argmin_min.html#sklearn.metrics.pairwise_distances_argmin_min" title="sklearn.metrics.pairwise_distances_argmin_min"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.metrics.pairwise_distances_argmin_min</span></code></a></p></li>
<li><p><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">sklearn.cluster.AffinityPropagation</span></code></a></p></li>
<li><p><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">sklearn.cluster.Birch</span></code></a></p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.cluster.SpectralClustering.html#sklearn.cluster.SpectralClustering" title="sklearn.cluster.SpectralClustering"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.cluster.SpectralClustering</span></code></a></p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.neighbors.KNeighborsClassifier.html#sklearn.neighbors.KNeighborsClassifier" title="sklearn.neighbors.KNeighborsClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.neighbors.KNeighborsClassifier</span></code></a></p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.neighbors.KNeighborsRegressor.html#sklearn.neighbors.KNeighborsRegressor" title="sklearn.neighbors.KNeighborsRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.neighbors.KNeighborsRegressor</span></code></a></p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.neighbors.RadiusNeighborsClassifier.html#sklearn.neighbors.RadiusNeighborsClassifier" title="sklearn.neighbors.RadiusNeighborsClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.neighbors.RadiusNeighborsClassifier</span></code></a></p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html#sklearn.neighbors.RadiusNeighborsRegressor" title="sklearn.neighbors.RadiusNeighborsRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.neighbors.RadiusNeighborsRegressor</span></code></a></p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.neighbors.LocalOutlierFactor.html#sklearn.neighbors.LocalOutlierFactor" title="sklearn.neighbors.LocalOutlierFactor"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.neighbors.LocalOutlierFactor</span></code></a></p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.neighbors.NearestNeighbors.html#sklearn.neighbors.NearestNeighbors" title="sklearn.neighbors.NearestNeighbors"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.neighbors.NearestNeighbors</span></code></a></p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.manifold.Isomap.html#sklearn.manifold.Isomap" title="sklearn.manifold.Isomap"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.manifold.Isomap</span></code></a></p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.manifold.TSNE.html#sklearn.manifold.TSNE" title="sklearn.manifold.TSNE"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.manifold.TSNE</span></code></a></p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.manifold.trustworthiness.html#sklearn.manifold.trustworthiness" title="sklearn.manifold.trustworthiness"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.manifold.trustworthiness</span></code></a></p></li>
</ul>
<p><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28235">#28235</a> by <a class="reference external" href="https://github.com/jjerphan">Julien Jerphanion</a>.</p>
</li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixes a bug for all scikit-learn transformers when using <code class="docutils literal notranslate"><span class="pre">set_output</span></code> with
<code class="docutils literal notranslate"><span class="pre">transform</span></code> set to <code class="docutils literal notranslate"><span class="pre">pandas</span></code> or <code class="docutils literal notranslate"><span class="pre">polars</span></code>. The bug could lead to wrong naming of the
columns of the returned dataframe.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28262">#28262</a> by <a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> When users try to use a method in <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">StackingClassifier</span></code></a>,
<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">StackingClassifier</span></code></a>, <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">StackingClassifier</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.feature_selection.SelectFromModel.html#sklearn.feature_selection.SelectFromModel" title="sklearn.feature_selection.SelectFromModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">SelectFromModel</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.feature_selection.RFE.html#sklearn.feature_selection.RFE" title="sklearn.feature_selection.RFE"><code class="xref py py-class docutils literal notranslate"><span class="pre">RFE</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.semi_supervised.SelfTrainingClassifier.html#sklearn.semi_supervised.SelfTrainingClassifier" title="sklearn.semi_supervised.SelfTrainingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">SelfTrainingClassifier</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.multiclass.OneVsOneClassifier.html#sklearn.multiclass.OneVsOneClassifier" title="sklearn.multiclass.OneVsOneClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">OneVsOneClassifier</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.multiclass.OutputCodeClassifier.html#sklearn.multiclass.OutputCodeClassifier" title="sklearn.multiclass.OutputCodeClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">OutputCodeClassifier</span></code></a> or
<a class="reference internal" href="../modules/generated/sklearn.multiclass.OneVsRestClassifier.html#sklearn.multiclass.OneVsRestClassifier" title="sklearn.multiclass.OneVsRestClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">OneVsRestClassifier</span></code></a> that their sub-estimators don’t implement,
the <code class="docutils literal notranslate"><span class="pre">AttributeError</span></code> now reraises in the traceback.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28167">#28167</a> by <a class="reference external" href="https://github.com/StefanieSenger">Stefanie Senger</a>.</p></li>
</ul>
</section>
<section id="changelog">
<h3>Changelog<a class="headerlink" href="#changelog" title="Link to this heading">#</a></h3>
<section id="sklearn-calibration">
<h4><a class="reference internal" href="../api/sklearn.calibration.html#module-sklearn.calibration" title="sklearn.calibration"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.calibration</span></code></a><a class="headerlink" href="#sklearn-calibration" 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> <code class="docutils literal notranslate"><span class="pre">calibration.CalibratedClassifierCV</span></code> supports <a class="reference internal" href="../glossary.html#term-predict_proba"><span class="xref std std-term">predict_proba</span></a> with
float32 output from the inner estimator. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28247">#28247</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<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> <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> now avoids assigning multiple different
clusters for equal points.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28121">#28121</a> by <a class="reference external" href="https://github.com/pietroppeter">Pietro Peterlongo</a> and
<a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Avoid infinite loop 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> when the number of clusters is
larger than the number of non-duplicate samples.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28165">#28165</a> by <a class="reference external" href="https://github.com/jeremiedbb">Jérémie du Boisberranger</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-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> now transform into a polars dataframe when
<code class="docutils literal notranslate"><span class="pre">verbose_feature_names_out=True</span></code> and the transformers internally used several times
the same columns. Previously, it would raise a due to duplicated column names.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28262">#28262</a> by <a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</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> <code class="xref py py-class docutils literal notranslate"><span class="pre">HistGradientBoostingClassifier</span></code> and
<code class="xref py py-class docutils literal notranslate"><span class="pre">HistGradientBoostingRegressor</span></code> when fitted on <code class="docutils literal notranslate"><span class="pre">pandas</span></code> <code class="docutils literal notranslate"><span class="pre">DataFrame</span></code>
with extension dtypes, for example <code class="docutils literal notranslate"><span class="pre">pd.Int64Dtype</span></code>
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28385">#28385</a> by <a class="reference external" href="https://github.com/lesteve">Loïc Estève</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixes error message raised by <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> when the
target is multilabel or multiclass-multioutput in a DataFrame format.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27702">#27702</a> by <a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</a>.</p></li>
</ul>
</section>
<section id="sklearn-impute">
<h4><a class="reference internal" href="../api/sklearn.impute.html#module-sklearn.impute" title="sklearn.impute"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.impute</span></code></a><a class="headerlink" href="#sklearn-impute" 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.impute.SimpleImputer.html#sklearn.impute.SimpleImputer" title="sklearn.impute.SimpleImputer"><code class="xref py py-class docutils literal notranslate"><span class="pre">impute.SimpleImputer</span></code></a> now raises an error in <code class="docutils literal notranslate"><span class="pre">.fit</span></code> and
<code class="docutils literal notranslate"><span class="pre">.transform</span></code> if <code class="docutils literal notranslate"><span class="pre">fill_value</span></code> can not be cast to input value dtype with
<code class="docutils literal notranslate"><span class="pre">casting='same_kind'</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28365">#28365</a> by <a class="reference external" href="https://github.com/LeoGrin">Leo Grinsztajn</a>.</p></li>
</ul>
</section>
<section id="sklearn-inspection">
<h4><a class="reference internal" href="../api/sklearn.inspection.html#module-sklearn.inspection" title="sklearn.inspection"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.inspection</span></code></a><a class="headerlink" href="#sklearn-inspection" 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.inspection.permutation_importance.html#sklearn.inspection.permutation_importance" title="sklearn.inspection.permutation_importance"><code class="xref py py-func docutils literal notranslate"><span class="pre">inspection.permutation_importance</span></code></a> now handles properly <code class="docutils literal notranslate"><span class="pre">sample_weight</span></code>
together with subsampling (i.e. <code class="docutils literal notranslate"><span class="pre">max_features</span></code> < 1.0).
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28184">#28184</a> by <a class="reference external" href="https://github.com/mayer79">Michael Mayer</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.ARDRegression.html#sklearn.linear_model.ARDRegression" title="sklearn.linear_model.ARDRegression"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.ARDRegression</span></code></a> now handles pandas input types
for <code class="docutils literal notranslate"><span class="pre">predict(X,</span> <span class="pre">return_std=True)</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28377">#28377</a> by <a class="reference external" href="https://github.com/eddiebergman">Eddie Bergman</a>.</p></li>
</ul>
</section>
<section id="sklearn-preprocessing">
<h4><a class="reference internal" href="../api/sklearn.preprocessing.html#module-sklearn.preprocessing" title="sklearn.preprocessing"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.preprocessing</span></code></a><a class="headerlink" href="#sklearn-preprocessing" 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> make <a class="reference internal" href="../modules/generated/sklearn.preprocessing.FunctionTransformer.html#sklearn.preprocessing.FunctionTransformer" title="sklearn.preprocessing.FunctionTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">preprocessing.FunctionTransformer</span></code></a> more lenient and overwrite
output column names with the <code class="docutils literal notranslate"><span class="pre">get_feature_names_out</span></code> in the following cases:
(i) the input and output column names remain the same (happen when using NumPy
<code class="docutils literal notranslate"><span class="pre">ufunc</span></code>); (ii) the input column names are numbers; (iii) the output will be set to
Pandas or Polars dataframe.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28241">#28241</a> by <a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</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.FunctionTransformer.html#sklearn.preprocessing.FunctionTransformer" title="sklearn.preprocessing.FunctionTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">preprocessing.FunctionTransformer</span></code></a> now also warns when <code class="docutils literal notranslate"><span class="pre">set_output</span></code>
is called with <code class="docutils literal notranslate"><span class="pre">transform="polars"</span></code> and <code class="docutils literal notranslate"><span class="pre">func</span></code> does not return a Polars dataframe or
<code class="docutils literal notranslate"><span class="pre">feature_names_out</span></code> is not specified.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28263">#28263</a> by <a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</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.TargetEncoder.html#sklearn.preprocessing.TargetEncoder" title="sklearn.preprocessing.TargetEncoder"><code class="xref py py-class docutils literal notranslate"><span class="pre">preprocessing.TargetEncoder</span></code></a> no longer fails when
<code class="docutils literal notranslate"><span class="pre">target_type="continuous"</span></code> and the input is read-only. In particular, it now
works with pandas copy-on-write mode enabled.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28233">#28233</a> by <a class="reference external" href="https://github.com/s-banach">John Hopfensperger</a>.</p></li>
</ul>
</section>
<section id="sklearn-tree">
<h4><a class="reference internal" href="../api/sklearn.tree.html#module-sklearn.tree" title="sklearn.tree"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.tree</span></code></a><a class="headerlink" href="#sklearn-tree" 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.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> and
<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> are handling missing values properly. The internal
criterion was not initialized when no missing values were present in the data, leading
to potentially wrong criterion values.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28295">#28295</a> by <a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</a> and
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28327">#28327</a> by <a class="reference external" href="https://github.com/adam2392">Adam Li</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-info">Enhancement</span></span> <span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.utils.metaestimators.available_if.html#sklearn.utils.metaestimators.available_if" title="sklearn.utils.metaestimators.available_if"><code class="xref py py-func docutils literal notranslate"><span class="pre">utils.metaestimators.available_if</span></code></a> now reraises the error
from the <code class="docutils literal notranslate"><span class="pre">check</span></code> function as the cause of the <code class="docutils literal notranslate"><span class="pre">AttributeError</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28198">#28198</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-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.utils._safe_indexing.html#sklearn.utils._safe_indexing" title="sklearn.utils._safe_indexing"><code class="xref py py-func docutils literal notranslate"><span class="pre">utils._safe_indexing</span></code></a> now raises a <code class="docutils literal notranslate"><span class="pre">ValueError</span></code> when <code class="docutils literal notranslate"><span class="pre">X</span></code> is a Python list
and <code class="docutils literal notranslate"><span class="pre">axis=1</span></code>, as documented in the docstring.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/28222">#28222</a> by <a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</a>.</p></li>
</ul>
</section>
</section>
</section>
<section id="version-1-4-0">
<span id="changes-1-4"></span><h2>Version 1.4.0<a class="headerlink" href="#version-1-4-0" title="Link to this heading">#</a></h2>
<p><strong>January 2024</strong></p>
<section id="id1">
<h3>Changed models<a class="headerlink" href="#id1" 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-info">Efficiency</span></span> <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> and
<a class="reference internal" href="../modules/generated/sklearn.linear_model.LogisticRegressionCV.html#sklearn.linear_model.LogisticRegressionCV" title="sklearn.linear_model.LogisticRegressionCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.LogisticRegressionCV</span></code></a> now have much better convergence for
solvers <code class="docutils literal notranslate"><span class="pre">"lbfgs"</span></code> and <code class="docutils literal notranslate"><span class="pre">"newton-cg"</span></code>. Both solvers can now reach much higher precision
for the coefficients depending on the specified <code class="docutils literal notranslate"><span class="pre">tol</span></code>. Additionally, lbfgs can
make better use of <code class="docutils literal notranslate"><span class="pre">tol</span></code>, i.e., stop sooner or reach higher precision.
Note: The lbfgs is the default solver, so this change might effect many models.
This change also means that with this new version of scikit-learn, the resulting
coefficients <code class="docutils literal notranslate"><span class="pre">coef_</span></code> and <code class="docutils literal notranslate"><span class="pre">intercept_</span></code> of your models will change for these two
solvers (when fit on the same data again). The amount of change depends on the
specified <code class="docutils literal notranslate"><span class="pre">tol</span></code>, for small values you will get more precise results.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/26721">#26721</a> by <a class="reference external" href="https://github.com/lorentzenchr">Christian Lorentzen</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> fixes a memory leak seen in PyPy for estimators using the Cython loss functions.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27670">#27670</a> by <a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</a>.</p></li>
</ul>
</section>
<section id="changes-impacting-all-modules">
<h3>Changes impacting all modules<a class="headerlink" href="#changes-impacting-all-modules" title="Link to this heading">#</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-success">Major Feature</span></span> Transformers now support polars output with
<code class="docutils literal notranslate"><span class="pre">set_output(transform="polars")</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27315">#27315</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> All estimators now recognizes the column names from any dataframe
that adopts the
<a class="reference external" href="https://data-apis.org/dataframe-protocol/latest/purpose_and_scope.html">DataFrame Interchange Protocol</a>.
Dataframes that return a correct representation through <code class="docutils literal notranslate"><span class="pre">np.asarray(df)</span></code> is expected
to work with our estimators and functions.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/26464">#26464</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> The HTML representation of estimators now includes a link to the
documentation and is color-coded to denote whether the estimator is fitted or
not (unfitted estimators are orange, fitted estimators are blue).
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/26616">#26616</a> by <a class="reference external" href="https://github.com/rcap107">Riccardo Cappuzzo</a>,
<a class="reference external" href="https://github.com/Ines1999">Ines Ibnukhsein</a>, <a class="reference external" href="https://github.com/GaelVaroquaux">Gael Varoquaux</a>,
<a class="reference external" href="https://joelnothman.com/">Joel Nothman</a> and <a class="reference external" href="https://github.com/LilianBoulard">Lilian Boulard</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed a bug in most estimators and functions where setting a parameter to
a large integer would cause a <code class="docutils literal notranslate"><span class="pre">TypeError</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/26648">#26648</a> by <a class="reference external" href="https://github.com/naoise-h">Naoise Holohan</a>.</p></li>
</ul>
</section>
<section id="id2">
<h3>Metadata Routing<a class="headerlink" href="#id2" title="Link to this heading">#</a></h3>
<p>The following models now support metadata routing in one or more or their
methods. Refer to the <a class="reference internal" href="../metadata_routing.html#metadata-routing"><span class="std std-ref">Metadata Routing User Guide</span></a> for
more details.</p>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-success">Feature</span></span> <code class="xref py py-class docutils literal notranslate"><span class="pre">LarsCV</span></code> and <code class="xref py py-class docutils literal notranslate"><span class="pre">LassoLarsCV</span></code> now support metadata
routing in their <code class="docutils literal notranslate"><span class="pre">fit</span></code> method and route metadata to the CV splitter.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27538">#27538</a> by <a class="reference external" href="https://github.com/OmarManzoor">Omar Salman</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.multiclass.OneVsRestClassifier.html#sklearn.multiclass.OneVsRestClassifier" title="sklearn.multiclass.OneVsRestClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">multiclass.OneVsRestClassifier</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.multiclass.OneVsOneClassifier.html#sklearn.multiclass.OneVsOneClassifier" title="sklearn.multiclass.OneVsOneClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">multiclass.OneVsOneClassifier</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.multiclass.OutputCodeClassifier.html#sklearn.multiclass.OutputCodeClassifier" title="sklearn.multiclass.OutputCodeClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">multiclass.OutputCodeClassifier</span></code></a> now support metadata routing in
their <code class="docutils literal notranslate"><span class="pre">fit</span></code> and <code class="docutils literal notranslate"><span class="pre">partial_fit</span></code>, and route metadata to the underlying
estimator’s <code class="docutils literal notranslate"><span class="pre">fit</span></code> and <code class="docutils literal notranslate"><span class="pre">partial_fit</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27308">#27308</a> by <a class="reference external" href="https://github.com/StefanieSenger">Stefanie Senger</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.pipeline.Pipeline.html#sklearn.pipeline.Pipeline" title="sklearn.pipeline.Pipeline"><code class="xref py py-class docutils literal notranslate"><span class="pre">pipeline.Pipeline</span></code></a> now supports metadata routing according
to <a class="reference internal" href="../metadata_routing.html#metadata-routing"><span class="std std-ref">metadata routing user guide</span></a>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/26789">#26789</a> by <a class="reference external" href="https://github.com/adrinjalali">Adrin Jalali</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.model_selection.cross_validate.html#sklearn.model_selection.cross_validate" title="sklearn.model_selection.cross_validate"><code class="xref py py-func docutils literal notranslate"><span class="pre">cross_validate</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.model_selection.cross_val_score.html#sklearn.model_selection.cross_val_score" title="sklearn.model_selection.cross_val_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">cross_val_score</span></code></a>, and
<a class="reference internal" href="../modules/generated/sklearn.model_selection.cross_val_predict.html#sklearn.model_selection.cross_val_predict" title="sklearn.model_selection.cross_val_predict"><code class="xref py py-func docutils literal notranslate"><span class="pre">cross_val_predict</span></code></a> now support metadata routing. The
metadata are routed to the estimator’s <code class="docutils literal notranslate"><span class="pre">fit</span></code>, the scorer, and the CV
splitter’s <code class="docutils literal notranslate"><span class="pre">split</span></code>. The metadata is accepted via the new <code class="docutils literal notranslate"><span class="pre">params</span></code> parameter.
<code class="docutils literal notranslate"><span class="pre">fit_params</span></code> is deprecated and will be removed in version 1.6. <code class="docutils literal notranslate"><span class="pre">groups</span></code>
parameter is also not accepted as a separate argument when metadata routing
is enabled and should be passed via the <code class="docutils literal notranslate"><span class="pre">params</span></code> parameter.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/26896">#26896</a> by <a class="reference external" href="https://github.com/adrinjalali">Adrin Jalali</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.model_selection.GridSearchCV.html#sklearn.model_selection.GridSearchCV" title="sklearn.model_selection.GridSearchCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">GridSearchCV</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.model_selection.RandomizedSearchCV.html#sklearn.model_selection.RandomizedSearchCV" title="sklearn.model_selection.RandomizedSearchCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">RandomizedSearchCV</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.model_selection.HalvingGridSearchCV.html#sklearn.model_selection.HalvingGridSearchCV" title="sklearn.model_selection.HalvingGridSearchCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">HalvingGridSearchCV</span></code></a>, and
<a class="reference internal" href="../modules/generated/sklearn.model_selection.HalvingRandomSearchCV.html#sklearn.model_selection.HalvingRandomSearchCV" title="sklearn.model_selection.HalvingRandomSearchCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">HalvingRandomSearchCV</span></code></a> now support metadata routing
in their <code class="docutils literal notranslate"><span class="pre">fit</span></code> and <code class="docutils literal notranslate"><span class="pre">score</span></code>, and route metadata to the underlying
estimator’s <code class="docutils literal notranslate"><span class="pre">fit</span></code>, the CV splitter, and the scorer.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27058">#27058</a> by <a class="reference external" href="https://github.com/adrinjalali">Adrin Jalali</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.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="sklearn.compose.ColumnTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColumnTransformer</span></code></a> now supports metadata routing
according to <a class="reference internal" href="../metadata_routing.html#metadata-routing"><span class="std std-ref">metadata routing user guide</span></a>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27005">#27005</a> by <a class="reference external" href="https://github.com/adrinjalali">Adrin Jalali</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.linear_model.LogisticRegressionCV.html#sklearn.linear_model.LogisticRegressionCV" title="sklearn.linear_model.LogisticRegressionCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.LogisticRegressionCV</span></code></a> now supports
metadata routing. <a class="reference internal" href="../modules/generated/sklearn.linear_model.LogisticRegressionCV.html#sklearn.linear_model.LogisticRegressionCV.fit" title="sklearn.linear_model.LogisticRegressionCV.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">linear_model.LogisticRegressionCV.fit</span></code></a> now
accepts <code class="docutils literal notranslate"><span class="pre">**params</span></code> which are passed to the underlying splitter and
scorer. <a class="reference internal" href="../modules/generated/sklearn.linear_model.LogisticRegressionCV.html#sklearn.linear_model.LogisticRegressionCV.score" title="sklearn.linear_model.LogisticRegressionCV.score"><code class="xref py py-meth docutils literal notranslate"><span class="pre">linear_model.LogisticRegressionCV.score</span></code></a> now accepts
<code class="docutils literal notranslate"><span class="pre">**score_params</span></code> which are passed to the underlying scorer.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/26525">#26525</a> by <a class="reference external" href="https://github.com/OmarManzoor">Omar Salman</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.feature_selection.SelectFromModel.html#sklearn.feature_selection.SelectFromModel" title="sklearn.feature_selection.SelectFromModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">feature_selection.SelectFromModel</span></code></a> now supports metadata
routing in <code class="docutils literal notranslate"><span class="pre">fit</span></code> and <code class="docutils literal notranslate"><span class="pre">partial_fit</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27490">#27490</a> by <a class="reference external" href="https://github.com/StefanieSenger">Stefanie Senger</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.linear_model.OrthogonalMatchingPursuitCV.html#sklearn.linear_model.OrthogonalMatchingPursuitCV" title="sklearn.linear_model.OrthogonalMatchingPursuitCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.OrthogonalMatchingPursuitCV</span></code></a> now supports
metadata routing. Its <code class="docutils literal notranslate"><span class="pre">fit</span></code> now accepts <code class="docutils literal notranslate"><span class="pre">**fit_params</span></code>, which are passed to
the underlying splitter.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27500">#27500</a> by <a class="reference external" href="https://github.com/StefanieSenger">Stefanie Senger</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-success">Feature</span></span> <code class="xref py py-class docutils literal notranslate"><span class="pre">ElasticNetCV</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">LassoCV</span></code>,
<code class="xref py py-class docutils literal notranslate"><span class="pre">MultiTaskElasticNetCV</span></code> and <code class="xref py py-class docutils literal notranslate"><span class="pre">MultiTaskLassoCV</span></code>
now support metadata routing and route metadata to the CV splitter.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27478">#27478</a> by <a class="reference external" href="https://github.com/OmarManzoor">Omar Salman</a>.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> All meta-estimators for which metadata routing is not yet implemented
now raise a <code class="docutils literal notranslate"><span class="pre">NotImplementedError</span></code> on <code class="docutils literal notranslate"><span class="pre">get_metadata_routing</span></code> and on <code class="docutils literal notranslate"><span class="pre">fit</span></code> if
metadata routing is enabled and any metadata is passed to them.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27389">#27389</a> by <a class="reference external" href="https://github.com/adrinjalali">Adrin Jalali</a>.</p></li>
</ul>
</section>
<section id="support-for-scipy-sparse-arrays">
<h3>Support for SciPy sparse arrays<a class="headerlink" href="#support-for-scipy-sparse-arrays" title="Link to this heading">#</a></h3>
<p>Several estimators are now supporting SciPy sparse arrays. The following functions
and classes are impacted:</p>
<p><strong>Functions:</strong></p>
<ul class="simple">
<li><p><a class="reference internal" href="../modules/generated/sklearn.cluster.compute_optics_graph.html#sklearn.cluster.compute_optics_graph" title="sklearn.cluster.compute_optics_graph"><code class="xref py py-func docutils literal notranslate"><span class="pre">cluster.compute_optics_graph</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27104">#27104</a> by
<a class="reference external" href="https://github.com/marenwestermann">Maren Westermann</a> and in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27250">#27250</a> by
<a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.cluster.kmeans_plusplus.html#sklearn.cluster.kmeans_plusplus" title="sklearn.cluster.kmeans_plusplus"><code class="xref py py-func docutils literal notranslate"><span class="pre">cluster.kmeans_plusplus</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27179">#27179</a> by <a class="reference external" href="https://github.com/Bncer">Nurseit Kamchyev</a>;</p></li>
<li><p><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> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27100">#27100</a> by
<a class="reference external" href="https://github.com/ivirshup">Isaac Virshup</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.feature_selection.f_regression.html#sklearn.feature_selection.f_regression" title="sklearn.feature_selection.f_regression"><code class="xref py py-func docutils literal notranslate"><span class="pre">feature_selection.f_regression</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27239">#27239</a> by
<a class="reference external" href="https://github.com/Tialo">Yaroslav Korobko</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.feature_selection.r_regression.html#sklearn.feature_selection.r_regression" title="sklearn.feature_selection.r_regression"><code class="xref py py-func docutils literal notranslate"><span class="pre">feature_selection.r_regression</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27239">#27239</a> by
<a class="reference external" href="https://github.com/Tialo">Yaroslav Korobko</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.manifold.trustworthiness.html#sklearn.manifold.trustworthiness" title="sklearn.manifold.trustworthiness"><code class="xref py py-func docutils literal notranslate"><span class="pre">manifold.trustworthiness</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27250">#27250</a> by <a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.manifold.spectral_embedding.html#sklearn.manifold.spectral_embedding" title="sklearn.manifold.spectral_embedding"><code class="xref py py-func docutils literal notranslate"><span class="pre">manifold.spectral_embedding</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27240">#27240</a> by <a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>;</p></li>
<li><p><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> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27250">#27250</a> by <a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.metrics.pairwise_distances_chunked.html#sklearn.metrics.pairwise_distances_chunked" title="sklearn.metrics.pairwise_distances_chunked"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.pairwise_distances_chunked</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27250">#27250</a> by
<a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.metrics.pairwise.pairwise_kernels.html#sklearn.metrics.pairwise.pairwise_kernels" title="sklearn.metrics.pairwise.pairwise_kernels"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.pairwise.pairwise_kernels</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27250">#27250</a> by
<a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.utils.multiclass.type_of_target.html#sklearn.utils.multiclass.type_of_target" title="sklearn.utils.multiclass.type_of_target"><code class="xref py py-func docutils literal notranslate"><span class="pre">utils.multiclass.type_of_target</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27274">#27274</a> by
<a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>.</p></li>
</ul>
<p><strong>Classes:</strong></p>
<ul class="simple">
<li><p><a class="reference internal" href="../modules/generated/sklearn.cluster.HDBSCAN.html#sklearn.cluster.HDBSCAN" title="sklearn.cluster.HDBSCAN"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.HDBSCAN</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27250">#27250</a> by <a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>;</p></li>
<li><p><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> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27179">#27179</a> by <a class="reference external" href="https://github.com/Bncer">Nurseit Kamchyev</a>;</p></li>
<li><p><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> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27179">#27179</a> by <a class="reference external" href="https://github.com/Bncer">Nurseit Kamchyev</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.cluster.OPTICS.html#sklearn.cluster.OPTICS" title="sklearn.cluster.OPTICS"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.OPTICS</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27104">#27104</a> by
<a class="reference external" href="https://github.com/marenwestermann">Maren Westermann</a> and in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27250">#27250</a> by
<a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.cluster.SpectralClustering.html#sklearn.cluster.SpectralClustering" title="sklearn.cluster.SpectralClustering"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.SpectralClustering</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27161">#27161</a> by
<a class="reference external" href="https://github.com/bharatr21">Bharat Raghunathan</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.decomposition.MiniBatchNMF.html#sklearn.decomposition.MiniBatchNMF" title="sklearn.decomposition.MiniBatchNMF"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.MiniBatchNMF</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27100">#27100</a> by
<a class="reference external" href="https://github.com/ivirshup">Isaac Virshup</a>;</p></li>
<li><p><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> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27100">#27100</a> by <a class="reference external" href="https://github.com/ivirshup">Isaac Virshup</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html#sklearn.feature_extraction.text.TfidfTransformer" title="sklearn.feature_extraction.text.TfidfTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">feature_extraction.text.TfidfTransformer</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27219">#27219</a> by
<a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.manifold.Isomap.html#sklearn.manifold.Isomap" title="sklearn.manifold.Isomap"><code class="xref py py-class docutils literal notranslate"><span class="pre">manifold.Isomap</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27250">#27250</a> by <a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.manifold.SpectralEmbedding.html#sklearn.manifold.SpectralEmbedding" title="sklearn.manifold.SpectralEmbedding"><code class="xref py py-class docutils literal notranslate"><span class="pre">manifold.SpectralEmbedding</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27240">#27240</a> by <a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.manifold.TSNE.html#sklearn.manifold.TSNE" title="sklearn.manifold.TSNE"><code class="xref py py-class docutils literal notranslate"><span class="pre">manifold.TSNE</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27250">#27250</a> by <a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.impute.SimpleImputer.html#sklearn.impute.SimpleImputer" title="sklearn.impute.SimpleImputer"><code class="xref py py-class docutils literal notranslate"><span class="pre">impute.SimpleImputer</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27277">#27277</a> by <a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.impute.IterativeImputer.html#sklearn.impute.IterativeImputer" title="sklearn.impute.IterativeImputer"><code class="xref py py-class docutils literal notranslate"><span class="pre">impute.IterativeImputer</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27277">#27277</a> by <a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>;</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.impute.KNNImputer.html#sklearn.impute.KNNImputer" title="sklearn.impute.KNNImputer"><code class="xref py py-class docutils literal notranslate"><span class="pre">impute.KNNImputer</span></code></a> in <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/27277">#27277</a> by <a class="reference external" href="https://github.com/Charlie-XIAO">Yao Xiao</a>;</p></li>
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