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<ul>
<li><a class="reference internal" href="#">Version 0.24.2</a><ul>
<li><a class="reference internal" href="#changelog">Changelog</a><ul>
<li><a class="reference internal" href="#sklearn-compose"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.compose</span></code></a></li>
<li><a class="reference internal" href="#sklearn-cross-decomposition"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cross_decomposition</span></code></a></li>
<li><a class="reference internal" href="#sklearn-decomposition"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.decomposition</span></code></a></li>
<li><a class="reference internal" href="#sklearn-ensemble"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.ensemble</span></code></a></li>
<li><a class="reference internal" href="#feature-extraction"><code class="xref py py-mod docutils literal notranslate"><span class="pre">feature_extraction</span></code></a></li>
<li><a class="reference internal" href="#sklearn-gaussian-process"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.gaussian_process</span></code></a></li>
<li><a class="reference internal" href="#sklearn-linear-model"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.linear_model</span></code></a></li>
<li><a class="reference internal" href="#sklearn-metrics"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.metrics</span></code></a></li>
<li><a class="reference internal" href="#sklearn-model-selection"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.model_selection</span></code></a></li>
<li><a class="reference internal" href="#sklearn-multioutput"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.multioutput</span></code></a></li>
<li><a class="reference internal" href="#sklearn-preprocessing"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.preprocessing</span></code></a></li>
<li><a class="reference internal" href="#sklearn-semi-supervised"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.semi_supervised</span></code></a></li>
<li><a class="reference internal" href="#sklearn-tree"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.tree</span></code></a></li>
<li><a class="reference internal" href="#sklearn-utils"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.utils</span></code></a></li>
</ul>
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</ul>
</li>
<li><a class="reference internal" href="#version-0-24-1">Version 0.24.1</a><ul>
<li><a class="reference internal" href="#packaging">Packaging</a></li>
<li><a class="reference internal" href="#id1">Changelog</a><ul>
<li><a class="reference internal" href="#id2"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.metrics</span></code></a></li>
<li><a class="reference internal" href="#id3"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.semi_supervised</span></code></a></li>
</ul>
</li>
</ul>
</li>
<li><a class="reference internal" href="#version-0-24-0">Version 0.24.0</a><ul>
<li><a class="reference internal" href="#legend-for-changelogs">Legend for changelogs</a></li>
<li><a class="reference internal" href="#changed-models">Changed models</a></li>
<li><a class="reference internal" href="#id4">Changelog</a><ul>
<li><a class="reference internal" href="#sklearn-base"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.base</span></code></a></li>
<li><a class="reference internal" href="#sklearn-calibration"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.calibration</span></code></a></li>
<li><a class="reference internal" href="#sklearn-cluster"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cluster</span></code></a></li>
<li><a class="reference internal" href="#id5"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.compose</span></code></a></li>
<li><a class="reference internal" href="#sklearn-covariance"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.covariance</span></code></a></li>
<li><a class="reference internal" href="#id6"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cross_decomposition</span></code></a></li>
<li><a class="reference internal" href="#sklearn-datasets"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.datasets</span></code></a></li>
<li><a class="reference internal" href="#id7"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.decomposition</span></code></a></li>
<li><a class="reference internal" href="#sklearn-discriminant-analysis"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.discriminant_analysis</span></code></a></li>
<li><a class="reference internal" href="#id8"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.ensemble</span></code></a></li>
<li><a class="reference internal" href="#sklearn-exceptions"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.exceptions</span></code></a></li>
<li><a class="reference internal" href="#sklearn-feature-extraction"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.feature_extraction</span></code></a></li>
<li><a class="reference internal" href="#sklearn-feature-selection"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.feature_selection</span></code></a></li>
<li><a class="reference internal" href="#id9"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.gaussian_process</span></code></a></li>
<li><a class="reference internal" href="#sklearn-impute"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.impute</span></code></a></li>
<li><a class="reference internal" href="#sklearn-inspection"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.inspection</span></code></a></li>
<li><a class="reference internal" href="#sklearn-isotonic"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.isotonic</span></code></a></li>
<li><a class="reference internal" href="#sklearn-kernel-approximation"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.kernel_approximation</span></code></a></li>
<li><a class="reference internal" href="#id10"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.linear_model</span></code></a></li>
<li><a class="reference internal" href="#sklearn-manifold"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.manifold</span></code></a></li>
<li><a class="reference internal" href="#id11"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.metrics</span></code></a></li>
<li><a class="reference internal" href="#id12"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.model_selection</span></code></a></li>
<li><a class="reference internal" href="#sklearn-multiclass"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.multiclass</span></code></a></li>
<li><a class="reference internal" href="#id13"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.multioutput</span></code></a></li>
<li><a class="reference internal" href="#sklearn-naive-bayes"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.naive_bayes</span></code></a></li>
<li><a class="reference internal" href="#sklearn-neighbors"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.neighbors</span></code></a></li>
<li><a class="reference internal" href="#sklearn-neural-network"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.neural_network</span></code></a></li>
<li><a class="reference internal" href="#sklearn-pipeline"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.pipeline</span></code></a></li>
<li><a class="reference internal" href="#id14"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.preprocessing</span></code></a></li>
<li><a class="reference internal" href="#id15"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.semi_supervised</span></code></a></li>
<li><a class="reference internal" href="#sklearn-svm"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.svm</span></code></a></li>
<li><a class="reference internal" href="#id16"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.tree</span></code></a></li>
<li><a class="reference internal" href="#id17"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.utils</span></code></a></li>
<li><a class="reference internal" href="#miscellaneous">Miscellaneous</a></li>
</ul>
</li>
<li><a class="reference internal" href="#code-and-documentation-contributors">Code and Documentation Contributors</a></li>
</ul>
</li>
</ul>
</div>
</div>
</div>
<div id="sk-page-content-wrapper">
<div class="sk-page-content container-fluid body px-md-3" role="main">
<section id="version-0-24-2">
<span id="changes-0-24-2"></span><h1>Version 0.24.2<a class="headerlink" href="#version-0-24-2" title="Permalink to this heading">¶</a></h1>
<p><strong>April 2021</strong></p>
<section id="changelog">
<h2>Changelog<a class="headerlink" href="#changelog" title="Permalink to this heading">¶</a></h2>
<section id="sklearn-compose">
<h3><a class="reference internal" href="../modules/classes.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="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> <code class="docutils literal notranslate"><span class="pre">compose.ColumnTransformer.get_feature_names</span></code> does not call
<code class="docutils literal notranslate"><span class="pre">get_feature_names</span></code> on transformers with an empty column selection.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19579">#19579</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<section id="sklearn-cross-decomposition">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.cross_decomposition" title="sklearn.cross_decomposition"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cross_decomposition</span></code></a><a class="headerlink" href="#sklearn-cross-decomposition" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a regression in <a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.CCA.html#sklearn.cross_decomposition.CCA" title="sklearn.cross_decomposition.CCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.CCA</span></code></a>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19646">#19646</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 badge-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.PLSRegression.html#sklearn.cross_decomposition.PLSRegression" title="sklearn.cross_decomposition.PLSRegression"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.PLSRegression</span></code></a> raises warning for
constant y residuals instead of a <code class="docutils literal notranslate"><span class="pre">StopIteration</span></code> error. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19922">#19922</a>
by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<section id="sklearn-decomposition">
<h3><a class="reference internal" href="../modules/classes.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="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug in <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>’s
<code class="docutils literal notranslate"><span class="pre">inverse_transform</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19732">#19732</a> by <a class="reference external" href="https://github.com/kstoneriv3">Kei Ishikawa</a>.</p></li>
</ul>
</section>
<section id="sklearn-ensemble">
<h3><a class="reference internal" href="../modules/classes.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="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug in <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> <code class="docutils literal notranslate"><span class="pre">fit</span></code>
with <code class="docutils literal notranslate"><span class="pre">sample_weight</span></code> parameter and <code class="docutils literal notranslate"><span class="pre">least_absolute_deviation</span></code> loss function.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19407">#19407</a> by <a class="reference external" href="https://github.com/vadim-ushtanit">Vadim Ushtanit</a>.</p></li>
</ul>
</section>
<section id="feature-extraction">
<h3><code class="xref py py-mod docutils literal notranslate"><span class="pre">feature_extraction</span></code><a class="headerlink" href="#feature-extraction" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug to support multiple strings for a category when
<code class="docutils literal notranslate"><span class="pre">sparse=False</span></code> in <a class="reference internal" href="../modules/generated/sklearn.feature_extraction.DictVectorizer.html#sklearn.feature_extraction.DictVectorizer" title="sklearn.feature_extraction.DictVectorizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">feature_extraction.DictVectorizer</span></code></a>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19982">#19982</a> by <a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</a>.</p></li>
</ul>
</section>
<section id="sklearn-gaussian-process">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.gaussian_process" title="sklearn.gaussian_process"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.gaussian_process</span></code></a><a class="headerlink" href="#sklearn-gaussian-process" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Avoid explicitly forming inverse covariance matrix in
<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> when set to output
standard deviation. With certain covariance matrices this inverse is unstable
to compute explicitly. Calling Cholesky solver mitigates this issue in
computation.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19939">#19939</a> by <a class="reference external" href="https://github.com/iwhalvic">Ian Halvic</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Avoid division by zero when scaling constant target in
<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>. It was due to a std. dev.
equal to 0. Now, such case is detected and the std. dev. is affected to 1
avoiding a division by zero and thus the presence of NaN values in the
normalized target.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19703">#19703</a> by <a class="reference external" href="https://github.com/sobkevich">@sobkevich</a>, <a class="reference external" href="https://github.com/boricles">Boris Villazón-Terrazas</a>
and <a class="reference external" href="https://github.com/afonari">Alexandr Fonari</a>.</p></li>
</ul>
</section>
<section id="sklearn-linear-model">
<h3><a class="reference internal" href="../modules/classes.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="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> : Fixed a bug in <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>: the
sample_weight object is not modified anymore. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19182">#19182</a> by
<a class="reference external" href="https://github.com/m7142yosuke">Yosuke KOBAYASHI</a>.</p></li>
</ul>
</section>
<section id="sklearn-metrics">
<h3><a class="reference internal" href="../modules/classes.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="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.metrics.top_k_accuracy_score.html#sklearn.metrics.top_k_accuracy_score" title="sklearn.metrics.top_k_accuracy_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.top_k_accuracy_score</span></code></a> now supports multiclass
problems where only two classes appear in <code class="docutils literal notranslate"><span class="pre">y_true</span></code> and all the classes
are specified in <code class="docutils literal notranslate"><span class="pre">labels</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19721">#19721</a> by <a class="reference external" href="https://github.com/flyingdutchman23">Joris Clement</a>.</p></li>
</ul>
</section>
<section id="sklearn-model-selection">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.model_selection" title="sklearn.model_selection"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.model_selection</span></code></a><a class="headerlink" href="#sklearn-model-selection" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> <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">model_selection.RandomizedSearchCV</span></code></a> and
<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">model_selection.GridSearchCV</span></code></a> now correctly shows the score for
single metrics and verbose > 2. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19659">#19659</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 badge-danger">Fix</span></span> Some values in the <code class="docutils literal notranslate"><span class="pre">cv_results_</span></code> attribute of
<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">model_selection.HalvingRandomSearchCV</span></code></a> and
<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">model_selection.HalvingGridSearchCV</span></code></a> were not properly converted to
numpy arrays. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19211">#19211</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 badge-danger">Fix</span></span> The <code class="docutils literal notranslate"><span class="pre">fit</span></code> method of the successive halving parameter search
(<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">model_selection.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">model_selection.HalvingRandomSearchCV</span></code></a>) now correctly handles the
<code class="docutils literal notranslate"><span class="pre">groups</span></code> parameter. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19847">#19847</a> by <a class="reference external" href="https://github.com/xiaoyuchai">Xiaoyu Chai</a>.</p></li>
</ul>
</section>
<section id="sklearn-multioutput">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.multioutput" title="sklearn.multioutput"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.multioutput</span></code></a><a class="headerlink" href="#sklearn-multioutput" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> <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> now works with estimators
that dynamically define <code class="docutils literal notranslate"><span class="pre">predict</span></code> during fitting, such as
<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>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19308">#19308</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<section id="sklearn-preprocessing">
<h3><a class="reference internal" href="../modules/classes.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="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Validate the constructor parameter <code class="docutils literal notranslate"><span class="pre">handle_unknown</span></code> in
<a class="reference internal" href="../modules/generated/sklearn.preprocessing.OrdinalEncoder.html#sklearn.preprocessing.OrdinalEncoder" title="sklearn.preprocessing.OrdinalEncoder"><code class="xref py py-class docutils literal notranslate"><span class="pre">preprocessing.OrdinalEncoder</span></code></a> to only allow for <code class="docutils literal notranslate"><span class="pre">'error'</span></code> and
<code class="docutils literal notranslate"><span class="pre">'use_encoded_value'</span></code> strategies.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19234">#19234</a> by <code class="docutils literal notranslate"><span class="pre">Guillaume</span> <span class="pre">Lemaitre</span> <span class="pre"><glemaitre></span></code>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fix encoder categories having dtype=’S’
<a class="reference internal" href="../modules/generated/sklearn.preprocessing.OneHotEncoder.html#sklearn.preprocessing.OneHotEncoder" title="sklearn.preprocessing.OneHotEncoder"><code class="xref py py-class docutils literal notranslate"><span class="pre">preprocessing.OneHotEncoder</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.preprocessing.OrdinalEncoder.html#sklearn.preprocessing.OrdinalEncoder" title="sklearn.preprocessing.OrdinalEncoder"><code class="xref py py-class docutils literal notranslate"><span class="pre">preprocessing.OrdinalEncoder</span></code></a>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19727">#19727</a> by <a class="reference external" href="https://github.com/andrewdelong">Andrew Delong</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> <code class="xref py py-meth docutils literal notranslate"><span class="pre">preprocessing.OrdinalEncoder.transfrom</span></code> correctly handles
unknown values for string dtypes. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19888">#19888</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 badge-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.preprocessing.OneHotEncoder.html#sklearn.preprocessing.OneHotEncoder.fit" title="sklearn.preprocessing.OneHotEncoder.fit"><code class="xref py py-meth docutils literal notranslate"><span class="pre">preprocessing.OneHotEncoder.fit</span></code></a> no longer alters the <code class="docutils literal notranslate"><span class="pre">drop</span></code>
parameter. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19924">#19924</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<section id="sklearn-semi-supervised">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.semi_supervised" title="sklearn.semi_supervised"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.semi_supervised</span></code></a><a class="headerlink" href="#sklearn-semi-supervised" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Avoid NaN during label propagation in
<a class="reference internal" href="../modules/generated/sklearn.semi_supervised.LabelPropagation.html#sklearn.semi_supervised.LabelPropagation" title="sklearn.semi_supervised.LabelPropagation"><code class="xref py py-class docutils literal notranslate"><span class="pre">LabelPropagation</span></code></a>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19271">#19271</a> by <a class="reference external" href="https://github.com/ThuWangzw">Zhaowei Wang</a>.</p></li>
</ul>
</section>
<section id="sklearn-tree">
<h3><a class="reference internal" href="../modules/classes.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="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fix a bug in <code class="docutils literal notranslate"><span class="pre">fit</span></code> of <code class="xref py py-class docutils literal notranslate"><span class="pre">tree.BaseDecisionTree</span></code> that caused
segmentation faults under certain conditions. <code class="docutils literal notranslate"><span class="pre">fit</span></code> now deep copies the
<code class="docutils literal notranslate"><span class="pre">Criterion</span></code> object to prevent shared concurrent accesses.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19580">#19580</a> by <a class="reference external" href="https://github.com/samdbrice">Samuel Brice</a> and
<a class="reference external" href="https://github.com/aadamson">Alex Adamson</a> and
<a class="reference external" href="https://github.com/wyegelwel">Wil Yegelwel</a>.</p></li>
</ul>
</section>
<section id="sklearn-utils">
<h3><a class="reference internal" href="../modules/classes.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="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Better contains the CSS provided by <a class="reference internal" href="../modules/generated/sklearn.utils.estimator_html_repr.html#sklearn.utils.estimator_html_repr" title="sklearn.utils.estimator_html_repr"><code class="xref py py-func docutils literal notranslate"><span class="pre">utils.estimator_html_repr</span></code></a>
by giving CSS ids to the html representation. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19417">#19417</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
</section>
</section>
<section id="version-0-24-1">
<span id="changes-0-24-1"></span><h1>Version 0.24.1<a class="headerlink" href="#version-0-24-1" title="Permalink to this heading">¶</a></h1>
<p><strong>January 2021</strong></p>
<section id="packaging">
<h2>Packaging<a class="headerlink" href="#packaging" title="Permalink to this heading">¶</a></h2>
<p>The 0.24.0 scikit-learn wheels were not working with MacOS <1.15 due to
<code class="docutils literal notranslate"><span class="pre">libomp</span></code>. The version of <code class="docutils literal notranslate"><span class="pre">libomp</span></code> used to build the wheels was too recent for
older macOS versions. This issue has been fixed for 0.24.1 scikit-learn wheels.
Scikit-learn wheels published on PyPI.org now officially support macOS 10.13
and later.</p>
</section>
<section id="id1">
<h2>Changelog<a class="headerlink" href="#id1" title="Permalink to this heading">¶</a></h2>
<section id="id2">
<h3><a class="reference internal" href="../modules/classes.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="#id2" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fix numerical stability bug that could happen in
<a class="reference internal" href="../modules/generated/sklearn.metrics.adjusted_mutual_info_score.html#sklearn.metrics.adjusted_mutual_info_score" title="sklearn.metrics.adjusted_mutual_info_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.adjusted_mutual_info_score</span></code></a> and
<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 NumPy 1.20+.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19179">#19179</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<section id="id3">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.semi_supervised" title="sklearn.semi_supervised"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.semi_supervised</span></code></a><a class="headerlink" href="#id3" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> <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">semi_supervised.SelfTrainingClassifier</span></code></a> is now accepting
meta-estimator (e.g. <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>). The validation
of this estimator is done on the fitted estimator, once we know the existence
of the method <code class="docutils literal notranslate"><span class="pre">predict_proba</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/19126">#19126</a> by <a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</a>.</p></li>
</ul>
</section>
</section>
</section>
<section id="version-0-24-0">
<span id="changes-0-24"></span><h1>Version 0.24.0<a class="headerlink" href="#version-0-24-0" title="Permalink to this heading">¶</a></h1>
<p><strong>December 2020</strong></p>
<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_24_0.html#sphx-glr-auto-examples-release-highlights-plot-release-highlights-0-24-0-py"><span class="std std-ref">Release Highlights for scikit-learn 0.24</span></a>.</p>
<section id="legend-for-changelogs">
<h2>Legend for changelogs<a class="headerlink" href="#legend-for-changelogs" title="Permalink to this heading">¶</a></h2>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-success">Major Feature</span></span> : something big that you couldn’t do before.</p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> : something that you couldn’t do before.</p></li>
<li><p><span class="raw-html"><span class="badge badge-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 badge-info">Enhancement</span></span> : a miscellaneous minor improvement.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> : something that previously didn’t work as documentated – or according
to reasonable expectations – should now work.</p></li>
<li><p><span class="raw-html"><span class="badge badge-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>
<p>Put the changes in their relevant module.</p>
</section>
<section id="changed-models">
<h2>Changed models<a class="headerlink" href="#changed-models" title="Permalink to this heading">¶</a></h2>
<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 badge-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> behaviour is now more consistent
between 32-bits and 64-bits data when the kernel has small positive
eigenvalues.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.decomposition.TruncatedSVD.html#sklearn.decomposition.TruncatedSVD" title="sklearn.decomposition.TruncatedSVD"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.TruncatedSVD</span></code></a> becomes deterministic by exposing
a <code class="docutils literal notranslate"><span class="pre">random_state</span></code> parameter.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.linear_model.Perceptron.html#sklearn.linear_model.Perceptron" title="sklearn.linear_model.Perceptron"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.Perceptron</span></code></a> when <code class="docutils literal notranslate"><span class="pre">penalty='elasticnet'</span></code>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Change in the random sampling procedures for the center initialization
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>.</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">
<h2>Changelog<a class="headerlink" href="#id4" title="Permalink to this heading">¶</a></h2>
<section id="sklearn-base">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.base" title="sklearn.base"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.base</span></code></a><a class="headerlink" href="#sklearn-base" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.base.BaseEstimator.html#sklearn.base.BaseEstimator.get_params" title="sklearn.base.BaseEstimator.get_params"><code class="xref py py-meth docutils literal notranslate"><span class="pre">base.BaseEstimator.get_params</span></code></a> now will raise an
<code class="docutils literal notranslate"><span class="pre">AttributeError</span></code> if a parameter cannot be retrieved as
an instance attribute. Previously it would return <code class="docutils literal notranslate"><span class="pre">None</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17448">#17448</a> by <a class="reference external" href="https://github.com/alfaro96">Juan Carlos Alfaro Jiménez</a>.</p></li>
</ul>
</section>
<section id="sklearn-calibration">
<h3><a class="reference internal" href="../modules/classes.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="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-info">Efficiency</span></span> <a class="reference internal" href="../modules/generated/sklearn.calibration.CalibratedClassifierCV.html#sklearn.calibration.CalibratedClassifierCV.fit" title="sklearn.calibration.CalibratedClassifierCV.fit"><code class="xref py py-class docutils literal notranslate"><span class="pre">calibration.CalibratedClassifierCV.fit</span></code></a> now supports
parallelization via <code class="docutils literal notranslate"><span class="pre">joblib.Parallel</span></code> using argument <code class="docutils literal notranslate"><span class="pre">n_jobs</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17107">#17107</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 badge-info">Enhancement</span></span> Allow <a class="reference internal" href="../modules/generated/sklearn.calibration.CalibratedClassifierCV.html#sklearn.calibration.CalibratedClassifierCV" title="sklearn.calibration.CalibratedClassifierCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">calibration.CalibratedClassifierCV</span></code></a> use with
prefit <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> where data is not <code class="docutils literal notranslate"><span class="pre">X</span></code> is not array-like,
sparse matrix or dataframe at the start. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17546">#17546</a> by
<a class="reference external" href="https://github.com/lucyleeow">Lucy Liu</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> Add <code class="docutils literal notranslate"><span class="pre">ensemble</span></code> parameter to
<a class="reference internal" href="../modules/generated/sklearn.calibration.CalibratedClassifierCV.html#sklearn.calibration.CalibratedClassifierCV" title="sklearn.calibration.CalibratedClassifierCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">calibration.CalibratedClassifierCV</span></code></a>, which enables implementation
of calibration via an ensemble of calibrators (current method) or
just one calibrator using all the data (similar to the built-in feature of
<a class="reference internal" href="../modules/classes.html#module-sklearn.svm" title="sklearn.svm"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.svm</span></code></a> estimators with the <code class="docutils literal notranslate"><span class="pre">probabilities=True</span></code> parameter).
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17856">#17856</a> by <a class="reference external" href="https://github.com/lucyleeow">Lucy Liu</a> and
<a class="reference external" href="https://github.com/aesuli">Andrea Esuli</a>.</p></li>
</ul>
</section>
<section id="sklearn-cluster">
<h3><a class="reference internal" href="../modules/classes.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="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-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 new parameter
<code class="docutils literal notranslate"><span class="pre">compute_distances</span></code>. When set to <code class="docutils literal notranslate"><span class="pre">True</span></code>, distances between clusters are
computed and stored in the <code class="docutils literal notranslate"><span class="pre">distances_</span></code> attribute even when the parameter
<code class="docutils literal notranslate"><span class="pre">distance_threshold</span></code> is not used. This new parameter is useful to produce
dendrogram visualizations, but introduces a computational and memory
overhead. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17984">#17984</a> by <a class="reference external" href="https://github.com/mriedmann">Michael Riedmann</a>,
<a class="reference external" href="https://github.com/EmilieDel">Emilie Delattre</a>, and
<a class="reference external" href="https://github.com/FrancescoCasalegno">Francesco Casalegno</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> <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> and
<a class="reference internal" href="../modules/generated/sklearn.cluster.spectral_clustering.html#sklearn.cluster.spectral_clustering" title="sklearn.cluster.spectral_clustering"><code class="xref py py-func docutils literal notranslate"><span class="pre">cluster.spectral_clustering</span></code></a> have a new keyword argument <code class="docutils literal notranslate"><span class="pre">verbose</span></code>.
When set to <code class="docutils literal notranslate"><span class="pre">True</span></code>, additional messages will be displayed which can aid with
debugging. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18052">#18052</a> by <a class="reference external" href="https://github.com/sstalley">Sean O. Stalley</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> Added <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> as public function.
Initialization by KMeans++ can now be called separately to generate
initial cluster centroids. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17937">#17937</a> by <a class="reference external" href="https://github.com/g-walsh">@g-walsh</a></p></li>
<li><p><span class="raw-html"><span class="badge badge-warning">API Change</span></span> <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> attributes, <code class="docutils literal notranslate"><span class="pre">counts_</span></code> and
<code class="docutils literal notranslate"><span class="pre">init_size_</span></code>, are deprecated and will be removed in 1.1 (renaming of 0.26).
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17864">#17864</a> by <a class="reference external" href="https://github.com/jeremiedbb">Jérémie du Boisberranger</a>.</p></li>
</ul>
</section>
<section id="id5">
<h3><a class="reference internal" href="../modules/classes.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="#id5" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-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> will skip transformers the
column selector is a list of bools that are False. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17616">#17616</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 badge-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 displays the remainder in the
diagram display. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18167">#18167</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 badge-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> enforces strict count and order
of column names between <code class="docutils literal notranslate"><span class="pre">fit</span></code> and <code class="docutils literal notranslate"><span class="pre">transform</span></code> by raising an error instead
of a warning, following the deprecation cycle.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18256">#18256</a> by <a class="reference external" href="https://github.com/madhuracj">Madhura Jayratne</a>.</p></li>
</ul>
</section>
<section id="sklearn-covariance">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.covariance" title="sklearn.covariance"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.covariance</span></code></a><a class="headerlink" href="#sklearn-covariance" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-warning">API Change</span></span> Deprecates <code class="docutils literal notranslate"><span class="pre">cv_alphas_</span></code> in favor of <code class="docutils literal notranslate"><span class="pre">cv_results_['alphas']</span></code> and
<code class="docutils literal notranslate"><span class="pre">grid_scores_</span></code> in favor of split scores in <code class="docutils literal notranslate"><span class="pre">cv_results_</span></code> in
<a class="reference internal" href="../modules/generated/sklearn.covariance.GraphicalLassoCV.html#sklearn.covariance.GraphicalLassoCV" title="sklearn.covariance.GraphicalLassoCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">covariance.GraphicalLassoCV</span></code></a>. <code class="docutils literal notranslate"><span class="pre">cv_alphas_</span></code> and <code class="docutils literal notranslate"><span class="pre">grid_scores_</span></code> will be
removed in version 1.1 (renaming of 0.26).
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16392">#16392</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<section id="id6">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.cross_decomposition" title="sklearn.cross_decomposition"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cross_decomposition</span></code></a><a class="headerlink" href="#id6" title="Permalink to this heading">¶</a></h3>
<ul>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.PLSSVD.html#sklearn.cross_decomposition.PLSSVD" title="sklearn.cross_decomposition.PLSSVD"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.PLSSVD</span></code></a> which would
sometimes return components in the reversed order of importance.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17095">#17095</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 badge-danger">Fix</span></span> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.PLSSVD.html#sklearn.cross_decomposition.PLSSVD" title="sklearn.cross_decomposition.PLSSVD"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.PLSSVD</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.CCA.html#sklearn.cross_decomposition.CCA" title="sklearn.cross_decomposition.CCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.CCA</span></code></a>, and
<a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.PLSCanonical.html#sklearn.cross_decomposition.PLSCanonical" title="sklearn.cross_decomposition.PLSCanonical"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.PLSCanonical</span></code></a>, which would lead to incorrect
predictions for <code class="docutils literal notranslate"><span class="pre">est.transform(Y)</span></code> when the training data is single-target.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17095">#17095</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 badge-danger">Fix</span></span> Increases the stability of <a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.CCA.html#sklearn.cross_decomposition.CCA" title="sklearn.cross_decomposition.CCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.CCA</span></code></a> <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18746">#18746</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 badge-warning">API Change</span></span> For <code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.NMF</span></code>,
the <code class="docutils literal notranslate"><span class="pre">init</span></code> value, when ‘init=None’ and
n_components <= min(n_samples, n_features) will be changed from
<code class="docutils literal notranslate"><span class="pre">'nndsvd'</span></code> to <code class="docutils literal notranslate"><span class="pre">'nndsvda'</span></code> in 1.1 (renaming of 0.26).
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18525">#18525</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 badge-warning">API Change</span></span> The bounds of the <code class="docutils literal notranslate"><span class="pre">n_components</span></code> parameter is now restricted:</p>
<ul class="simple">
<li><p>into <code class="docutils literal notranslate"><span class="pre">[1,</span> <span class="pre">min(n_samples,</span> <span class="pre">n_features,</span> <span class="pre">n_targets)]</span></code>, for
<a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.PLSSVD.html#sklearn.cross_decomposition.PLSSVD" title="sklearn.cross_decomposition.PLSSVD"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.PLSSVD</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.CCA.html#sklearn.cross_decomposition.CCA" title="sklearn.cross_decomposition.CCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.CCA</span></code></a>,
and <a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.PLSCanonical.html#sklearn.cross_decomposition.PLSCanonical" title="sklearn.cross_decomposition.PLSCanonical"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.PLSCanonical</span></code></a>.</p></li>
<li><p>into <code class="docutils literal notranslate"><span class="pre">[1,</span> <span class="pre">n_features]</span></code> or <a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.PLSRegression.html#sklearn.cross_decomposition.PLSRegression" title="sklearn.cross_decomposition.PLSRegression"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.PLSRegression</span></code></a>.</p></li>
</ul>
<p>An error will be raised in 1.1 (renaming of 0.26).
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17095">#17095</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 badge-warning">API Change</span></span> For <a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.PLSSVD.html#sklearn.cross_decomposition.PLSSVD" title="sklearn.cross_decomposition.PLSSVD"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.PLSSVD</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.CCA.html#sklearn.cross_decomposition.CCA" title="sklearn.cross_decomposition.CCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.CCA</span></code></a>, and
<a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.PLSCanonical.html#sklearn.cross_decomposition.PLSCanonical" title="sklearn.cross_decomposition.PLSCanonical"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.PLSCanonical</span></code></a>, the <code class="docutils literal notranslate"><span class="pre">x_scores_</span></code> and <code class="docutils literal notranslate"><span class="pre">y_scores_</span></code>
attributes were deprecated and will be removed in 1.1 (renaming of 0.26).
They can be retrieved by calling <code class="docutils literal notranslate"><span class="pre">transform</span></code> on the training data.
The <code class="docutils literal notranslate"><span class="pre">norm_y_weights</span></code> attribute will also be removed.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17095">#17095</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 badge-warning">API Change</span></span> For <a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.PLSRegression.html#sklearn.cross_decomposition.PLSRegression" title="sklearn.cross_decomposition.PLSRegression"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.PLSRegression</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.PLSCanonical.html#sklearn.cross_decomposition.PLSCanonical" title="sklearn.cross_decomposition.PLSCanonical"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.PLSCanonical</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.CCA.html#sklearn.cross_decomposition.CCA" title="sklearn.cross_decomposition.CCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.CCA</span></code></a>, and
<a class="reference internal" href="../modules/generated/sklearn.cross_decomposition.PLSSVD.html#sklearn.cross_decomposition.PLSSVD" title="sklearn.cross_decomposition.PLSSVD"><code class="xref py py-class docutils literal notranslate"><span class="pre">cross_decomposition.PLSSVD</span></code></a>, the <code class="docutils literal notranslate"><span class="pre">x_mean_</span></code>, <code class="docutils literal notranslate"><span class="pre">y_mean_</span></code>, <code class="docutils literal notranslate"><span class="pre">x_std_</span></code>, and
<code class="docutils literal notranslate"><span class="pre">y_std_</span></code> attributes were deprecated and will be removed in 1.1
(renaming of 0.26).
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18768">#18768</a> by <a class="reference external" href="https://github.com/marenwestermann">Maren Westermann</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.decomposition.TruncatedSVD.html#sklearn.decomposition.TruncatedSVD" title="sklearn.decomposition.TruncatedSVD"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.TruncatedSVD</span></code></a> becomes deterministic by using the
<code class="docutils literal notranslate"><span class="pre">random_state</span></code>. It controls the weights’ initialization of the underlying
ARPACK solver.
:pr:` #18302` by <a class="reference external" href="https://github.com/gauravkdesai">Gaurav Desai</a> and
<a class="reference external" href="https://github.com/FollowKenny">Ivan Panico</a>.</p></li>
</ul>
</section>
<section id="sklearn-datasets">
<h3><a class="reference internal" href="../modules/classes.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="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-success">Feature</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> now validates md5 checksum of arff
files downloaded or cached to ensure data integrity.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/14800">#14800</a> by <a class="reference external" href="https://github.com/shashanksingh28">Shashank Singh</a> and <a class="reference external" href="https://joelnothman.com/">Joel Nothman</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</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> now allows argument <code class="docutils literal notranslate"><span class="pre">as_frame</span></code>
to be ‘auto’, which tries to convert returned data to pandas DataFrame
unless data is sparse.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17396">#17396</a> by <a class="reference external" href="https://github.com/fujiaxiang">Jiaxiang</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.datasets.fetch_covtype.html#sklearn.datasets.fetch_covtype" title="sklearn.datasets.fetch_covtype"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.fetch_covtype</span></code></a> now supports the optional
argument <code class="docutils literal notranslate"><span class="pre">as_frame</span></code>; when it is set to True, the returned Bunch object’s
<code class="docutils literal notranslate"><span class="pre">data</span></code> and <code class="docutils literal notranslate"><span class="pre">frame</span></code> members are pandas DataFrames, and the <code class="docutils literal notranslate"><span class="pre">target</span></code> member is
a pandas Series.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17491">#17491</a> by <a class="reference external" href="https://github.com/tianchuliang">Alex Liang</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.datasets.fetch_kddcup99.html#sklearn.datasets.fetch_kddcup99" title="sklearn.datasets.fetch_kddcup99"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.fetch_kddcup99</span></code></a> now supports the optional
argument <code class="docutils literal notranslate"><span class="pre">as_frame</span></code>; when it is set to True, the returned Bunch object’s
<code class="docutils literal notranslate"><span class="pre">data</span></code> and <code class="docutils literal notranslate"><span class="pre">frame</span></code> members are pandas DataFrames, and the <code class="docutils literal notranslate"><span class="pre">target</span></code> member is
a pandas Series.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18280">#18280</a> by <a class="reference external" href="https://github.com/tianchuliang">Alex Liang</a> and
<a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html#sklearn.datasets.fetch_20newsgroups_vectorized" title="sklearn.datasets.fetch_20newsgroups_vectorized"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.fetch_20newsgroups_vectorized</span></code></a> now supports
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/17499">#17499</a> by <a class="reference external" href="https://github.com/bsipocz">Brigitta Sipőcz</a> and
<a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-warning">API Change</span></span> The default value of <code class="docutils literal notranslate"><span class="pre">as_frame</span></code> in <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> is
changed from False to ‘auto’.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17610">#17610</a> by <a class="reference external" href="https://github.com/fujiaxiang">Jiaxiang</a>.</p></li>
</ul>
</section>
<section id="id7">
<h3><a class="reference internal" href="../modules/classes.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="#id7" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.decomposition.FactorAnalysis.html#sklearn.decomposition.FactorAnalysis" title="sklearn.decomposition.FactorAnalysis"><code class="xref py py-func docutils literal notranslate"><span class="pre">decomposition.FactorAnalysis</span></code></a> now supports the optional
argument <code class="docutils literal notranslate"><span class="pre">rotation</span></code>, which can take the value <code class="docutils literal notranslate"><span class="pre">None</span></code>, <code class="docutils literal notranslate"><span class="pre">'varimax'</span></code> or
<code class="docutils literal notranslate"><span class="pre">'quartimax'</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/11064">#11064</a> by <a class="reference external" href="https://github.com/jona-sassenhagen">Jona Sassenhagen</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-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> now supports the optional parameter
<code class="docutils literal notranslate"><span class="pre">regularization</span></code>, which can take the values <code class="docutils literal notranslate"><span class="pre">None</span></code>, ‘components’,
‘transformation’ or ‘both’, in accordance with
<code class="xref py py-func docutils literal notranslate"><span class="pre">decomposition.NMF.non_negative_factorization</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17414">#17414</a> by <a class="reference external" href="https://github.com/Bharat123rox">Bharat Raghunathan</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-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> behaviour is now more consistent
between 32-bits and 64-bits data input when the kernel has small positive
eigenvalues. Small positive eigenvalues were not correctly discarded for
32-bits data.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18149">#18149</a> by <a class="reference external" href="https://github.com/smarie">Sylvain Marié</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fix <a class="reference internal" href="../modules/generated/sklearn.decomposition.SparseCoder.html#sklearn.decomposition.SparseCoder" title="sklearn.decomposition.SparseCoder"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.SparseCoder</span></code></a> such that it follows
scikit-learn API and support cloning. The attribute <code class="docutils literal notranslate"><span class="pre">components_</span></code> is
deprecated in 0.24 and will be removed in 1.1 (renaming of 0.26).
This attribute was redundant with the <code class="docutils literal notranslate"><span class="pre">dictionary</span></code> attribute and constructor
parameter.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17679">#17679</a> by <a class="reference external" href="https://github.com/sdpython">Xavier Dupré</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> <code class="xref py py-meth docutils literal notranslate"><span class="pre">TruncatedSVD.fit_transform</span></code> consistently returns the same
as <code class="xref py py-meth docutils literal notranslate"><span class="pre">TruncatedSVD.fit</span></code> followed by <code class="xref py py-meth docutils literal notranslate"><span class="pre">TruncatedSVD.transform</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18528">#18528</a> by <a class="reference external" href="https://github.com/albertvillanova">Albert Villanova del Moral</a> and
<a class="reference external" href="https://github.com/zhengruifeng">Ruifeng Zheng</a>.</p></li>
</ul>
</section>
<section id="sklearn-discriminant-analysis">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.discriminant_analysis" title="sklearn.discriminant_analysis"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.discriminant_analysis</span></code></a><a class="headerlink" href="#sklearn-discriminant-analysis" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysis.html#sklearn.discriminant_analysis.LinearDiscriminantAnalysis" title="sklearn.discriminant_analysis.LinearDiscriminantAnalysis"><code class="xref py py-class docutils literal notranslate"><span class="pre">discriminant_analysis.LinearDiscriminantAnalysis</span></code></a> can
now use custom covariance estimate by setting the <code class="docutils literal notranslate"><span class="pre">covariance_estimator</span></code>
parameter. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/14446">#14446</a> by <a class="reference external" href="https://github.com/hugorichard">Hugo Richard</a>.</p></li>
</ul>
</section>
<section id="id8">
<h3><a class="reference internal" href="../modules/classes.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="#id8" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-success">Major Feature</span></span> <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> and
<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> now have native
support for categorical features with the <code class="docutils literal notranslate"><span class="pre">categorical_features</span></code>
parameter. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18394">#18394</a> by <a class="reference external" href="https://github.com/NicolasHug">Nicolas Hug</a> and <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> <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> and
<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> now support the
method <code class="docutils literal notranslate"><span class="pre">staged_predict</span></code>, which allows monitoring of each stage.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16985">#16985</a> by <a class="reference external" href="https://github.com/haochunchang">Hao Chun Chang</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Efficiency</span></span> break cyclic references in the tree nodes used internally in
<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> and
<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> to allow for the timely
garbage collection of large intermediate datastructures and to improve memory
usage in <code class="docutils literal notranslate"><span class="pre">fit</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18334">#18334</a> by <a class="reference external" href="https://twitter.com/ogrisel">Olivier Grisel</a> <a class="reference external" href="https://github.com/NicolasHug">Nicolas Hug</a>, <a class="reference external" href="https://github.com/thomasjpfan">Thomas
Fan</a> and <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Efficiency</span></span> Histogram initialization is now done in parallel in
<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> and
<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> which results in speed
improvement for problems that build a lot of nodes on multicore machines.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18341">#18341</a> by <a class="reference external" href="https://twitter.com/ogrisel">Olivier Grisel</a>, <a class="reference external" href="https://github.com/NicolasHug">Nicolas Hug</a>, <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>, and
<a class="reference external" href="https://github.com/SmirnovEgorRu">Egor Smirnov</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug in
<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> and
<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> which can now accept data
with <code class="docutils literal notranslate"><span class="pre">uint8</span></code> dtype in <code class="docutils literal notranslate"><span class="pre">predict</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18410">#18410</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 badge-warning">API Change</span></span> The parameter <code class="docutils literal notranslate"><span class="pre">n_classes_</span></code> is now deprecated in
<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 returns <code class="docutils literal notranslate"><span class="pre">1</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17702">#17702</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 badge-warning">API Change</span></span> Mean absolute error (‘mae’) is now deprecated for the parameter
<code class="docutils literal notranslate"><span class="pre">criterion</span></code> in <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
<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>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18326">#18326</a> by <a class="reference external" href="https://github.com/madhuracj">Madhura Jayaratne</a>.</p></li>
</ul>
</section>
<section id="sklearn-exceptions">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.exceptions" title="sklearn.exceptions"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.exceptions</span></code></a><a class="headerlink" href="#sklearn-exceptions" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-warning">API Change</span></span> <code class="xref py py-class docutils literal notranslate"><span class="pre">exceptions.ChangedBehaviorWarning</span></code> and
<code class="xref py py-class docutils literal notranslate"><span class="pre">exceptions.NonBLASDotWarning</span></code> are deprecated and will be removed in
1.1 (renaming of 0.26).
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17804">#17804</a> by <a class="reference external" href="https://github.com/adrinjalali">Adrin Jalali</a>.</p></li>
</ul>
</section>
<section id="sklearn-feature-extraction">
<h3><a class="reference internal" href="../modules/classes.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="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.feature_extraction.DictVectorizer.html#sklearn.feature_extraction.DictVectorizer" title="sklearn.feature_extraction.DictVectorizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">feature_extraction.DictVectorizer</span></code></a> accepts multiple
values for one categorical feature. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17367">#17367</a> by <a class="reference external" href="https://github.com/yupbank">Peng Yu</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 badge-danger">Fix</span></span> <code class="xref py py-class docutils literal notranslate"><span class="pre">feature_extraction.CountVectorizer</span></code> raises an issue if a
custom token pattern which capture more than one group is provided.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/15427">#15427</a> by <a class="reference external" href="https://github.com/ggangesh">Gangesh Gudmalwar</a> and
<a class="reference external" href="https://github.com/hoffm386">Erin R Hoffman</a>.</p></li>
</ul>
</section>
<section id="sklearn-feature-selection">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.feature_selection" title="sklearn.feature_selection"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.feature_selection</span></code></a><a class="headerlink" href="#sklearn-feature-selection" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> Added <a class="reference internal" href="../modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html#sklearn.feature_selection.SequentialFeatureSelector" title="sklearn.feature_selection.SequentialFeatureSelector"><code class="xref py py-class docutils literal notranslate"><span class="pre">feature_selection.SequentialFeatureSelector</span></code></a>
which implements forward and backward sequential feature selection.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/6545">#6545</a> by <a class="reference external" href="https://sebastianraschka.com/">Sebastian Raschka</a> and <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17159">#17159</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 badge-success">Feature</span></span> A new parameter <code class="docutils literal notranslate"><span class="pre">importance_getter</span></code> was added to
<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">feature_selection.RFE</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.feature_selection.RFECV.html#sklearn.feature_selection.RFECV" title="sklearn.feature_selection.RFECV"><code class="xref py py-class docutils literal notranslate"><span class="pre">feature_selection.RFECV</span></code></a> and
<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>, allowing the user to specify an
attribute name/path or a <code class="docutils literal notranslate"><span class="pre">callable</span></code> for extracting feature importance from
the estimator. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/15361">#15361</a> by <a class="reference external" href="https://github.com/venkyyuvy">Venkatachalam N</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Efficiency</span></span> Reduce memory footprint in
<a class="reference internal" href="../modules/generated/sklearn.feature_selection.mutual_info_classif.html#sklearn.feature_selection.mutual_info_classif" title="sklearn.feature_selection.mutual_info_classif"><code class="xref py py-func docutils literal notranslate"><span class="pre">feature_selection.mutual_info_classif</span></code></a>
and <a class="reference internal" href="../modules/generated/sklearn.feature_selection.mutual_info_regression.html#sklearn.feature_selection.mutual_info_regression" title="sklearn.feature_selection.mutual_info_regression"><code class="xref py py-func docutils literal notranslate"><span class="pre">feature_selection.mutual_info_regression</span></code></a> by calling
<a class="reference internal" href="../modules/generated/sklearn.neighbors.KDTree.html#sklearn.neighbors.KDTree" title="sklearn.neighbors.KDTree"><code class="xref py py-class docutils literal notranslate"><span class="pre">neighbors.KDTree</span></code></a> for counting nearest neighbors. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17878">#17878</a> by
<a class="reference external" href="https://github.com/noelano">Noel Rogers</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> <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">feature_selection.RFE</span></code></a> supports the option for the
number of <code class="docutils literal notranslate"><span class="pre">n_features_to_select</span></code> to be given as a float representing the
percentage of features to select.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17090">#17090</a> by <a class="reference external" href="https://github.com/lschwetlick">Lisa Schwetlick</a> and
<a class="reference external" href="https://github.com/marijavlajic">Marija Vlajic Wheeler</a>.</p></li>
</ul>
</section>
<section id="id9">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.gaussian_process" title="sklearn.gaussian_process"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.gaussian_process</span></code></a><a class="headerlink" href="#id9" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> A new method
<code class="xref py py-meth docutils literal notranslate"><span class="pre">gaussian_process.Kernel._check_bounds_params</span></code> is called after
fitting a Gaussian Process and raises a <code class="docutils literal notranslate"><span class="pre">ConvergenceWarning</span></code> if the bounds
of the hyperparameters are too tight.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12638">#12638</a> by <a class="reference external" href="https://github.com/SylvainLan">Sylvain Lannuzel</a>.</p></li>
</ul>
</section>
<section id="sklearn-impute">
<h3><a class="reference internal" href="../modules/classes.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="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-success">Feature</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 supports a list of strings
when <code class="docutils literal notranslate"><span class="pre">strategy='most_frequent'</span></code> or <code class="docutils literal notranslate"><span class="pre">strategy='constant'</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17526">#17526</a> by <a class="reference external" href="https://github.com/yagi-3">Ayako YAGI</a> and
<a class="reference external" href="https://github.com/alfaro96">Juan Carlos Alfaro Jiménez</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> Added method <a class="reference internal" href="../modules/generated/sklearn.impute.SimpleImputer.html#sklearn.impute.SimpleImputer.inverse_transform" title="sklearn.impute.SimpleImputer.inverse_transform"><code class="xref py py-meth docutils literal notranslate"><span class="pre">impute.SimpleImputer.inverse_transform</span></code></a> to
revert imputed data to original when instantiated with
<code class="docutils literal notranslate"><span class="pre">add_indicator=True</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17612">#17612</a> by <a class="reference external" href="https://github.com/d3b0unce">Srimukh Sripada</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> replace the default values in <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>
of <code class="docutils literal notranslate"><span class="pre">min_value</span></code> and <code class="docutils literal notranslate"><span class="pre">max_value</span></code> parameters to <code class="docutils literal notranslate"><span class="pre">-np.inf</span></code> and <code class="docutils literal notranslate"><span class="pre">np.inf</span></code>,
respectively instead of <code class="docutils literal notranslate"><span class="pre">None</span></code>. However, the behaviour of the class does not
change since <code class="docutils literal notranslate"><span class="pre">None</span></code> was defaulting to these values already.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16493">#16493</a> by <a class="reference external" href="https://github.com/DarshanGowda0">Darshan N</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> <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> will not attempt to set the
estimator’s <code class="docutils literal notranslate"><span class="pre">random_state</span></code> attribute, allowing to use it with more external classes.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/15636">#15636</a> by <a class="reference external" href="https://github.com/david-cortes">David Cortes</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Efficiency</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> is now faster with <code class="docutils literal notranslate"><span class="pre">object</span></code> dtype array.
when <code class="docutils literal notranslate"><span class="pre">strategy='most_frequent'</span></code> in <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">SimpleImputer</span></code></a>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18987">#18987</a> by <a class="reference external" href="https://github.com/DavidKatz-il">David Katz</a>.</p></li>
</ul>
</section>
<section id="sklearn-inspection">
<h3><a class="reference internal" href="../modules/classes.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="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> <a class="reference internal" href="../modules/generated/sklearn.inspection.partial_dependence.html#sklearn.inspection.partial_dependence" title="sklearn.inspection.partial_dependence"><code class="xref py py-func docutils literal notranslate"><span class="pre">inspection.partial_dependence</span></code></a> and
<code class="xref py py-func docutils literal notranslate"><span class="pre">inspection.plot_partial_dependence</span></code> now support calculating and
plotting Individual Conditional Expectation (ICE) curves controlled by the
<code class="docutils literal notranslate"><span class="pre">kind</span></code> parameter.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16619">#16619</a> by <a class="reference external" href="https://github.com/madhuracj">Madhura Jayratne</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> Add <code class="docutils literal notranslate"><span class="pre">sample_weight</span></code> parameter to
<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>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16906">#16906</a> by
<a class="reference external" href="https://github.com/RoeiKa">Roei Kahny</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-warning">API Change</span></span> Positional arguments are deprecated in
<a class="reference internal" href="../modules/generated/sklearn.inspection.PartialDependenceDisplay.html#sklearn.inspection.PartialDependenceDisplay.plot" title="sklearn.inspection.PartialDependenceDisplay.plot"><code class="xref py py-meth docutils literal notranslate"><span class="pre">inspection.PartialDependenceDisplay.plot</span></code></a> and will error in 1.1
(renaming of 0.26).
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18293">#18293</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<section id="sklearn-isotonic">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.isotonic" title="sklearn.isotonic"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.isotonic</span></code></a><a class="headerlink" href="#sklearn-isotonic" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> Expose fitted attributes <code class="docutils literal notranslate"><span class="pre">X_thresholds_</span></code> and <code class="docutils literal notranslate"><span class="pre">y_thresholds_</span></code>
that hold the de-duplicated interpolation thresholds of an
<a class="reference internal" href="../modules/generated/sklearn.isotonic.IsotonicRegression.html#sklearn.isotonic.IsotonicRegression" title="sklearn.isotonic.IsotonicRegression"><code class="xref py py-class docutils literal notranslate"><span class="pre">isotonic.IsotonicRegression</span></code></a> instance for model inspection purpose.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16289">#16289</a> by <a class="reference external" href="https://github.com/kishimoto-banana">Masashi Kishimoto</a> and
<a class="reference external" href="https://github.com/ogrisel">Olivier Grisel</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.isotonic.IsotonicRegression.html#sklearn.isotonic.IsotonicRegression" title="sklearn.isotonic.IsotonicRegression"><code class="xref py py-class docutils literal notranslate"><span class="pre">isotonic.IsotonicRegression</span></code></a> now accepts 2d array with
1 feature as input array. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17379">#17379</a> by <a class="reference external" href="https://github.com/fujiaxiang">Jiaxiang</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Add tolerance when determining duplicate X values to prevent
inf values from being predicted by <a class="reference internal" href="../modules/generated/sklearn.isotonic.IsotonicRegression.html#sklearn.isotonic.IsotonicRegression" title="sklearn.isotonic.IsotonicRegression"><code class="xref py py-class docutils literal notranslate"><span class="pre">isotonic.IsotonicRegression</span></code></a>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18639">#18639</a> by <a class="reference external" href="https://github.com/lucyleeow">Lucy Liu</a>.</p></li>
</ul>
</section>
<section id="sklearn-kernel-approximation">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.kernel_approximation" title="sklearn.kernel_approximation"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.kernel_approximation</span></code></a><a class="headerlink" href="#sklearn-kernel-approximation" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> Added class <a class="reference internal" href="../modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html#sklearn.kernel_approximation.PolynomialCountSketch" title="sklearn.kernel_approximation.PolynomialCountSketch"><code class="xref py py-class docutils literal notranslate"><span class="pre">kernel_approximation.PolynomialCountSketch</span></code></a>
which implements the Tensor Sketch algorithm for polynomial kernel feature
map approximation.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/13003">#13003</a> by <a class="reference external" href="https://github.com/lopeLH">Daniel López Sánchez</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Efficiency</span></span> <a class="reference internal" href="../modules/generated/sklearn.kernel_approximation.Nystroem.html#sklearn.kernel_approximation.Nystroem" title="sklearn.kernel_approximation.Nystroem"><code class="xref py py-class docutils literal notranslate"><span class="pre">kernel_approximation.Nystroem</span></code></a> now supports
parallelization via <code class="docutils literal notranslate"><span class="pre">joblib.Parallel</span></code> using argument <code class="docutils literal notranslate"><span class="pre">n_jobs</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18545">#18545</a> by <a class="reference external" href="https://github.com/LaurenzReitsam">Laurenz Reitsam</a>.</p></li>
</ul>
</section>
<section id="id10">
<h3><a class="reference internal" href="../modules/classes.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="#id10" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> <a class="reference internal" href="../modules/generated/sklearn.linear_model.LinearRegression.html#sklearn.linear_model.LinearRegression" title="sklearn.linear_model.LinearRegression"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.LinearRegression</span></code></a> now forces coefficients
to be all positive when <code class="docutils literal notranslate"><span class="pre">positive</span></code> is set to <code class="docutils literal notranslate"><span class="pre">True</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17578">#17578</a> by <a class="reference external" href="https://github.com/jknox13">Joseph Knox</a>,
<a class="reference external" href="https://github.com/NelleV">Nelle Varoquaux</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 badge-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.linear_model.RidgeCV.html#sklearn.linear_model.RidgeCV" title="sklearn.linear_model.RidgeCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.RidgeCV</span></code></a> now supports finding an optimal
regularization value <code class="docutils literal notranslate"><span class="pre">alpha</span></code> for each target separately by setting
<code class="docutils literal notranslate"><span class="pre">alpha_per_target=True</span></code>. This is only supported when using the default
efficient leave-one-out cross-validation scheme <code class="docutils literal notranslate"><span class="pre">cv=None</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/6624">#6624</a> by
<a class="reference external" href="https://github.com/wmvanvliet">Marijn van Vliet</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixes bug in <a class="reference internal" href="../modules/generated/sklearn.linear_model.TheilSenRegressor.html#sklearn.linear_model.TheilSenRegressor" title="sklearn.linear_model.TheilSenRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.TheilSenRegressor</span></code></a> where
<code class="docutils literal notranslate"><span class="pre">predict</span></code> and <code class="docutils literal notranslate"><span class="pre">score</span></code> would fail when <code class="docutils literal notranslate"><span class="pre">fit_intercept=False</span></code> and there was
one feature during fitting. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18121">#18121</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 badge-danger">Fix</span></span> Fixes bug in <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> where <code class="docutils literal notranslate"><span class="pre">predict</span></code>
was raising an error when <code class="docutils literal notranslate"><span class="pre">normalize=True</span></code> and <code class="docutils literal notranslate"><span class="pre">return_std=True</span></code> because
<code class="docutils literal notranslate"><span class="pre">X_offset_</span></code> and <code class="docutils literal notranslate"><span class="pre">X_scale_</span></code> were undefined.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18607">#18607</a> by <a class="reference external" href="https://github.com/fhaselbeck">fhaselbeck</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Added the missing <code class="docutils literal notranslate"><span class="pre">l1_ratio</span></code> parameter in
<a class="reference internal" href="../modules/generated/sklearn.linear_model.Perceptron.html#sklearn.linear_model.Perceptron" title="sklearn.linear_model.Perceptron"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.Perceptron</span></code></a>, to be used when <code class="docutils literal notranslate"><span class="pre">penalty='elasticnet'</span></code>.
This changes the default from 0 to 0.15. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18622">#18622</a> by
<a class="reference external" href="https://github.com/rickiepark">Haesun Park</a>.</p></li>
</ul>
</section>
<section id="sklearn-manifold">
<h3><a class="reference internal" href="../modules/classes.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="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-info">Efficiency</span></span> Fixed <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/10493">#10493</a>. Improve Local Linear Embedding (LLE)
that raised <code class="docutils literal notranslate"><span class="pre">MemoryError</span></code> exception when used with large inputs.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17997">#17997</a> by <a class="reference external" href="https://github.com/bmaisonn">Bertrand Maisonneuve</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> Add <code class="docutils literal notranslate"><span class="pre">square_distances</span></code> parameter to <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>,
which provides backward compatibility during deprecation of legacy squaring
behavior. Distances will be squared by default in 1.1 (renaming of 0.26),
and this parameter will be removed in 1.3. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17662">#17662</a> by
<a class="reference external" href="https://github.com/joshuacwnewton">Joshua Newton</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.manifold.MDS.html#sklearn.manifold.MDS" title="sklearn.manifold.MDS"><code class="xref py py-class docutils literal notranslate"><span class="pre">manifold.MDS</span></code></a> now correctly sets its <code class="docutils literal notranslate"><span class="pre">_pairwise</span></code> attribute.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18278">#18278</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<section id="id11">
<h3><a class="reference internal" href="../modules/classes.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="#id11" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> Added <a class="reference internal" href="../modules/generated/sklearn.metrics.cluster.pair_confusion_matrix.html#sklearn.metrics.cluster.pair_confusion_matrix" title="sklearn.metrics.cluster.pair_confusion_matrix"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.cluster.pair_confusion_matrix</span></code></a> implementing
the confusion matrix arising from pairs of elements from two clusterings.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17412">#17412</a> by <a class="reference external" href="https://github.com/ufmayer">Uwe F Mayer</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> new metric <a class="reference internal" href="../modules/generated/sklearn.metrics.top_k_accuracy_score.html#sklearn.metrics.top_k_accuracy_score" title="sklearn.metrics.top_k_accuracy_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.top_k_accuracy_score</span></code></a>. It’s a
generalization of <a class="reference internal" href="../modules/generated/sklearn.metrics.top_k_accuracy_score.html#sklearn.metrics.top_k_accuracy_score" title="sklearn.metrics.top_k_accuracy_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.top_k_accuracy_score</span></code></a>, the difference is
that a prediction is considered correct as long as the true label is
associated with one of the <code class="docutils literal notranslate"><span class="pre">k</span></code> highest predicted scores.
<code class="xref py py-func docutils literal notranslate"><span class="pre">accuracy_score</span></code> is the special case of <code class="docutils literal notranslate"><span class="pre">k</span> <span class="pre">=</span> <span class="pre">1</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/16625">#16625</a> by <a class="reference external" href="https://github.com/gbolmier">Geoffrey Bolmier</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> Added <a class="reference internal" href="../modules/generated/sklearn.metrics.det_curve.html#sklearn.metrics.det_curve" title="sklearn.metrics.det_curve"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.det_curve</span></code></a> to compute Detection Error Tradeoff
curve classification metric.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/10591">#10591</a> by <a class="reference external" href="https://github.com/jkarnows">Jeremy Karnowski</a> and
<a class="reference external" href="https://github.com/dmohns">Daniel Mohns</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> Added <code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.plot_det_curve</span></code> and
<a class="reference internal" href="../modules/generated/sklearn.metrics.DetCurveDisplay.html#sklearn.metrics.DetCurveDisplay" title="sklearn.metrics.DetCurveDisplay"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrics.DetCurveDisplay</span></code></a> to ease the plot of DET curves.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18176">#18176</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 badge-success">Feature</span></span> Added <a class="reference internal" href="../modules/generated/sklearn.metrics.mean_absolute_percentage_error.html#sklearn.metrics.mean_absolute_percentage_error" title="sklearn.metrics.mean_absolute_percentage_error"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.mean_absolute_percentage_error</span></code></a> metric and
the associated scorer for regression problems. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/10708">#10708</a> fixed with the
PR <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/15007">#15007</a> by <a class="reference external" href="https://github.com/ashutosh1919">Ashutosh Hathidara</a>. The scorer and
some practical test cases were taken from PR <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/10711">#10711</a> by
<a class="reference external" href="https://github.com/mohamed-ali">Mohamed Ali Jamaoui</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> Added <a class="reference internal" href="../modules/generated/sklearn.metrics.rand_score.html#sklearn.metrics.rand_score" title="sklearn.metrics.rand_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.rand_score</span></code></a> implementing the (unadjusted)
Rand index.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17412">#17412</a> by <a class="reference external" href="https://github.com/ufmayer">Uwe F Mayer</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> <code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.plot_confusion_matrix</span></code> now supports making colorbar
optional in the matplotlib plot by setting <code class="docutils literal notranslate"><span class="pre">colorbar=False</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17192">#17192</a> by
<a class="reference external" href="https://github.com/avigupta2612">Avi Gupta</a></p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> <code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.plot_confusion_matrix</span></code> now supports making colorbar
optional in the matplotlib plot by setting colorbar=False. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17192">#17192</a> by
<a class="reference external" href="https://github.com/avigupta2612">Avi Gupta</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> Add <code class="docutils literal notranslate"><span class="pre">sample_weight</span></code> parameter to
<a class="reference internal" href="../modules/generated/sklearn.metrics.median_absolute_error.html#sklearn.metrics.median_absolute_error" title="sklearn.metrics.median_absolute_error"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.median_absolute_error</span></code></a>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17225">#17225</a> by
<a class="reference external" href="https://github.com/lucyleeow">Lucy Liu</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> Add <code class="docutils literal notranslate"><span class="pre">pos_label</span></code> parameter in
<code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.plot_precision_recall_curve</span></code> in order to specify the positive
class to be used when computing the precision and recall statistics.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17569">#17569</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 badge-info">Enhancement</span></span> Add <code class="docutils literal notranslate"><span class="pre">pos_label</span></code> parameter in
<code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.plot_roc_curve</span></code> in order to specify the positive
class to be used when computing the roc auc statistics.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17651">#17651</a> by <a class="reference external" href="https://github.com/claramatos">Clara Matos</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug in
<a class="reference internal" href="../modules/generated/sklearn.metrics.classification_report.html#sklearn.metrics.classification_report" title="sklearn.metrics.classification_report"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.classification_report</span></code></a> which was raising AttributeError
when called with <code class="docutils literal notranslate"><span class="pre">output_dict=True</span></code> for 0-length values.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17777">#17777</a> by <a class="reference external" href="https://github.com/napsternxg">Shubhanshu Mishra</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug in
<a class="reference internal" href="../modules/generated/sklearn.metrics.classification_report.html#sklearn.metrics.classification_report" title="sklearn.metrics.classification_report"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.classification_report</span></code></a> which was raising AttributeError
when called with <code class="docutils literal notranslate"><span class="pre">output_dict=True</span></code> for 0-length values.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17777">#17777</a> by <a class="reference external" href="https://github.com/napsternxg">Shubhanshu Mishra</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug in
<a class="reference internal" href="../modules/generated/sklearn.metrics.jaccard_score.html#sklearn.metrics.jaccard_score" title="sklearn.metrics.jaccard_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.jaccard_score</span></code></a> which recommended the <code class="docutils literal notranslate"><span class="pre">zero_division</span></code>
parameter when called with no true or predicted samples.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17826">#17826</a> by <a class="reference external" href="https://github.com/crypdick">Richard Decal</a> and
<a class="reference external" href="https://github.com/josephwillard">Joseph Willard</a></p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> bug in <a class="reference internal" href="../modules/generated/sklearn.metrics.hinge_loss.html#sklearn.metrics.hinge_loss" title="sklearn.metrics.hinge_loss"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.hinge_loss</span></code></a> where error occurs when
<code class="docutils literal notranslate"><span class="pre">y_true</span></code> is missing some labels that are provided explicitly in the
<code class="docutils literal notranslate"><span class="pre">labels</span></code> parameter.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17935">#17935</a> by <a class="reference external" href="https://github.com/Ultramann">Cary Goltermann</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fix scorers that accept a pos_label parameter and compute their metrics
from values returned by <code class="docutils literal notranslate"><span class="pre">decision_function</span></code> or <code class="docutils literal notranslate"><span class="pre">predict_proba</span></code>. Previously,
they would return erroneous values when pos_label was not corresponding to
<code class="docutils literal notranslate"><span class="pre">classifier.classes_[1]</span></code>. This is especially important when training
classifiers directly with string labeled target classes.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18114">#18114</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 badge-danger">Fix</span></span> Fixed bug in <code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.plot_confusion_matrix</span></code> where error occurs
when <code class="docutils literal notranslate"><span class="pre">y_true</span></code> contains labels that were not previously seen by the classifier
while the <code class="docutils literal notranslate"><span class="pre">labels</span></code> and <code class="docutils literal notranslate"><span class="pre">display_labels</span></code> parameters are set to <code class="docutils literal notranslate"><span class="pre">None</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18405">#18405</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas J. Fan</a> and
<a class="reference external" href="https://github.com/kyouma">Yakov Pchelintsev</a>.</p></li>
</ul>
</section>
<section id="id12">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.model_selection" title="sklearn.model_selection"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.model_selection</span></code></a><a class="headerlink" href="#id12" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-success">Major Feature</span></span> Added (experimental) parameter search estimators
<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">model_selection.HalvingRandomSearchCV</span></code></a> and
<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">model_selection.HalvingGridSearchCV</span></code></a> which implement Successive
Halving, and can be used as a drop-in replacements for
<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">model_selection.RandomizedSearchCV</span></code></a> and
<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">model_selection.GridSearchCV</span></code></a>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/13900">#13900</a> by <a class="reference external" href="https://github.com/NicolasHug">Nicolas Hug</a>, <a class="reference external" href="https://joelnothman.com/">Joel
Nothman</a> and <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> <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">model_selection.RandomizedSearchCV</span></code></a> and
<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">model_selection.GridSearchCV</span></code></a> now have the method <code class="docutils literal notranslate"><span class="pre">score_samples</span></code>
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/17478">#17478</a> by <a class="reference external" href="https://github.com/teonbrooks">Teon Brooks</a> and
<a class="reference external" href="https://github.com/maskani-moh">Mohamed Maskani</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.model_selection.TimeSeriesSplit.html#sklearn.model_selection.TimeSeriesSplit" title="sklearn.model_selection.TimeSeriesSplit"><code class="xref py py-class docutils literal notranslate"><span class="pre">model_selection.TimeSeriesSplit</span></code></a> has two new keyword
arguments <code class="docutils literal notranslate"><span class="pre">test_size</span></code> and <code class="docutils literal notranslate"><span class="pre">gap</span></code>. <code class="docutils literal notranslate"><span class="pre">test_size</span></code> allows the out-of-sample
time series length to be fixed for all folds. <code class="docutils literal notranslate"><span class="pre">gap</span></code> removes a fixed number of
samples between the train and test set on each fold.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/13204">#13204</a> by <a class="reference external" href="https://github.com/kykosic">Kyle Kosic</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.model_selection.permutation_test_score.html#sklearn.model_selection.permutation_test_score" title="sklearn.model_selection.permutation_test_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">model_selection.permutation_test_score</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.model_selection.validation_curve.html#sklearn.model_selection.validation_curve" title="sklearn.model_selection.validation_curve"><code class="xref py py-func docutils literal notranslate"><span class="pre">model_selection.validation_curve</span></code></a> now accept fit_params
to pass additional estimator parameters.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18527">#18527</a> by <a class="reference external" href="https://github.com/gxyd">Gaurav Dhingra</a>,
<a class="reference external" href="https://github.com/jjerphan">Julien Jerphanion</a> and <a class="reference external" href="https://github.com/amy12xx">Amanda Dsouza</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> <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">model_selection.cross_val_score</span></code></a>,
<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">model_selection.cross_validate</span></code></a>,
<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">model_selection.GridSearchCV</span></code></a>, and
<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">model_selection.RandomizedSearchCV</span></code></a> allows estimator to fail scoring
and replace the score with <code class="docutils literal notranslate"><span class="pre">error_score</span></code>. If <code class="docutils literal notranslate"><span class="pre">error_score="raise"</span></code>, the error
will be raised.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18343">#18343</a> by <a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</a> and <a class="reference external" href="https://github.com/dsandeep0138">Devi Sandeep</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> <a class="reference internal" href="../modules/generated/sklearn.model_selection.learning_curve.html#sklearn.model_selection.learning_curve" title="sklearn.model_selection.learning_curve"><code class="xref py py-func docutils literal notranslate"><span class="pre">model_selection.learning_curve</span></code></a> now accept fit_params
to pass additional estimator parameters.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18595">#18595</a> by <a class="reference external" href="https://github.com/amy12xx">Amanda Dsouza</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed the <code class="docutils literal notranslate"><span class="pre">len</span></code> of <a class="reference internal" href="../modules/generated/sklearn.model_selection.ParameterSampler.html#sklearn.model_selection.ParameterSampler" title="sklearn.model_selection.ParameterSampler"><code class="xref py py-class docutils literal notranslate"><span class="pre">model_selection.ParameterSampler</span></code></a> when
all distributions are lists and <code class="docutils literal notranslate"><span class="pre">n_iter</span></code> is more than the number of unique
parameter combinations. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18222">#18222</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 badge-danger">Fix</span></span> A fix to raise warning when one or more CV splits of
<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">model_selection.GridSearchCV</span></code></a> and
<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">model_selection.RandomizedSearchCV</span></code></a> results in non-finite scores.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/18266">#18266</a> by <a class="reference external" href="https://github.com/subrat93">Subrat Sahu</a>,
<a class="reference external" href="https://github.com/Nirvan101">Nirvan</a> and <a class="reference external" href="https://github.com/ArthurBook">Arthur Book</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</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">model_selection.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">model_selection.RandomizedSearchCV</span></code></a> and
<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">model_selection.cross_validate</span></code></a> support <code class="docutils literal notranslate"><span class="pre">scoring</span></code> being a callable
returning a dictionary of of multiple metric names/values association.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/15126">#15126</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<section id="sklearn-multiclass">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.multiclass" title="sklearn.multiclass"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.multiclass</span></code></a><a class="headerlink" href="#sklearn-multiclass" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-info">Enhancement</span></span> <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> now accepts
the inputs with missing values. Hence, estimators which can handle
missing values (may be a pipeline with imputation step) can be used as
a estimator for multiclass wrappers.