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<section id="version-0-24">
<span id="release-notes-0-24"></span><h1>Version 0.24<a class="headerlink" href="#version-0-24" title="Link to this heading">#</a></h1>
<p>For a short description of the main highlights of the release, please refer to
<a class="reference internal" href="../auto_examples/release_highlights/plot_release_highlights_0_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>
<p class="rubric">Legend for changelogs</p>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-success">Major Feature</span></span> something big that you couldn’t do before.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-success">Feature</span></span> something that you couldn’t do before.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-info">Efficiency</span></span> an existing feature now may not require as much computation or
memory.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-info">Enhancement</span></span> a miscellaneous minor improvement.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> something that previously didn’t work as documented – or according
to reasonable expectations – should now work.</p></li>
<li><p><span class="raw-html"><span class="badge text-bg-warning">API Change</span></span> you will need to change your code to have the same effect in the
future; or a feature will be removed in the future.</p></li>
</ul>
<section id="version-0-24-2">
<span id="changes-0-24-2"></span><h2>Version 0.24.2<a class="headerlink" href="#version-0-24-2" title="Link to this heading">#</a></h2>
<p><strong>April 2021</strong></p>
<section id="changelog">
<h3>Changelog<a class="headerlink" href="#changelog" title="Link to this heading">#</a></h3>
<section id="sklearn-compose">
<h4><a class="reference internal" href="../api/sklearn.compose.html#module-sklearn.compose" title="sklearn.compose"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.compose</span></code></a><a class="headerlink" href="#sklearn-compose" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <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">
<h4><a class="reference internal" href="../api/sklearn.cross_decomposition.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="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed a 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 text-bg-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">
<h4><a class="reference internal" href="../api/sklearn.decomposition.html#module-sklearn.decomposition" title="sklearn.decomposition"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.decomposition</span></code></a><a class="headerlink" href="#sklearn-decomposition" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.decomposition.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">
<h4><a class="reference internal" href="../api/sklearn.ensemble.html#module-sklearn.ensemble" title="sklearn.ensemble"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.ensemble</span></code></a><a class="headerlink" href="#sklearn-ensemble" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed 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="sklearn-feature-extraction">
<h4><a class="reference internal" href="../api/sklearn.feature_extraction.html#module-sklearn.feature_extraction" title="sklearn.feature_extraction"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.feature_extraction</span></code></a><a class="headerlink" href="#sklearn-feature-extraction" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> 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">
<h4><a class="reference internal" href="../api/sklearn.gaussian_process.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="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-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 text-bg-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">
<h4><a class="reference internal" href="../api/sklearn.linear_model.html#module-sklearn.linear_model" title="sklearn.linear_model"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.linear_model</span></code></a><a class="headerlink" href="#sklearn-linear-model" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> : 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">
<h4><a class="reference internal" href="../api/sklearn.metrics.html#module-sklearn.metrics" title="sklearn.metrics"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.metrics</span></code></a><a class="headerlink" href="#sklearn-metrics" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <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">
<h4><a class="reference internal" href="../api/sklearn.model_selection.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="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.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 text-bg-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 text-bg-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">
<h4><a class="reference internal" href="../api/sklearn.multioutput.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="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.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">
<h4><a class="reference internal" href="../api/sklearn.preprocessing.html#module-sklearn.preprocessing" title="sklearn.preprocessing"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.preprocessing</span></code></a><a class="headerlink" href="#sklearn-preprocessing" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> 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 text-bg-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 text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.preprocessing.OrdinalEncoder.html#sklearn.preprocessing.OrdinalEncoder.transform" title="sklearn.preprocessing.OrdinalEncoder.transform"><code class="xref py py-meth docutils literal notranslate"><span class="pre">preprocessing.OrdinalEncoder.transform</span></code></a> 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 text-bg-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">
<h4><a class="reference internal" href="../api/sklearn.semi_supervised.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="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-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">
<h4><a class="reference internal" href="../api/sklearn.tree.html#module-sklearn.tree" title="sklearn.tree"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.tree</span></code></a><a class="headerlink" href="#sklearn-tree" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fix a bug in <code class="docutils literal notranslate"><span class="pre">fit</span></code> of <code 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">
<h4><a class="reference internal" href="../api/sklearn.utils.html#module-sklearn.utils" title="sklearn.utils"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.utils</span></code></a><a class="headerlink" href="#sklearn-utils" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> 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><h2>Version 0.24.1<a class="headerlink" href="#version-0-24-1" title="Link to this heading">#</a></h2>
<p><strong>January 2021</strong></p>
<section id="packaging">
<h3>Packaging<a class="headerlink" href="#packaging" title="Link to this heading">#</a></h3>
<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">
<h3>Changelog<a class="headerlink" href="#id1" title="Link to this heading">#</a></h3>
<section id="id2">
<h4><a class="reference internal" href="../api/sklearn.metrics.html#module-sklearn.metrics" title="sklearn.metrics"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.metrics</span></code></a><a class="headerlink" href="#id2" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fix 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">
<h4><a class="reference internal" href="../api/sklearn.semi_supervised.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="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.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><h2>Version 0.24.0<a class="headerlink" href="#version-0-24-0" title="Link to this heading">#</a></h2>
<p><strong>December 2020</strong></p>
<section id="changed-models">
<h3>Changed models<a class="headerlink" href="#changed-models" title="Link to this heading">#</a></h3>
<p>The following estimators and functions, when fit with the same data and
parameters, may produce different models from the previous version. This often
occurs due to changes in the modelling logic (bug fixes or enhancements), or in
random sampling procedures.</p>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <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 text-bg-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 text-bg-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 text-bg-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">
<h3>Changelog<a class="headerlink" href="#id4" title="Link to this heading">#</a></h3>
<section id="sklearn-base">
<h4><a class="reference internal" href="../api/sklearn.base.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="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.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">
<h4><a class="reference internal" href="../api/sklearn.calibration.html#module-sklearn.calibration" title="sklearn.calibration"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.calibration</span></code></a><a class="headerlink" href="#sklearn-calibration" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-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 text-bg-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 text-bg-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="../api/sklearn.svm.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">
<h4><a class="reference internal" href="../api/sklearn.cluster.html#module-sklearn.cluster" title="sklearn.cluster"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cluster</span></code></a><a class="headerlink" href="#sklearn-cluster" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-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 text-bg-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 text-bg-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 text-bg-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">
<h4><a class="reference internal" href="../api/sklearn.compose.html#module-sklearn.compose" title="sklearn.compose"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.compose</span></code></a><a class="headerlink" href="#id5" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="sklearn.compose.ColumnTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">compose.ColumnTransformer</span></code></a> 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 text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="sklearn.compose.ColumnTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">compose.ColumnTransformer</span></code></a> now 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 text-bg-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="sklearn.compose.ColumnTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">compose.ColumnTransformer</span></code></a> 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">
<h4><a class="reference internal" href="../api/sklearn.covariance.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="Link to this heading">#</a></h4>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge text-bg-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">
<h4><a class="reference internal" href="../api/sklearn.cross_decomposition.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="Link to this heading">#</a></h4>
<ul>
<li><p><span class="raw-html"><span class="badge text-bg-danger">Fix</span></span> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.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 text-bg-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 text-bg-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 text-bg-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 text-bg-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 text-bg-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 text-bg-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>