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<ul>
<li><a class="reference internal" href="#">Version 0.20.4</a><ul>
<li><a class="reference internal" href="#changelog">Changelog</a><ul>
<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="#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-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-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-neighbors"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.neighbors</span></code></a></li>
</ul>
</li>
</ul>
</li>
<li><a class="reference internal" href="#version-0-20-3">Version 0.20.3</a><ul>
<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.cluster</span></code></a></li>
<li><a class="reference internal" href="#id3"><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="#id4"><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-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="#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-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-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-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-svm"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.svm</span></code></a></li>
</ul>
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<li><a class="reference internal" href="#code-and-documentation-contributors">Code and Documentation Contributors</a></li>
</ul>
</li>
<li><a class="reference internal" href="#version-0-20-2">Version 0.20.2</a><ul>
<li><a class="reference internal" href="#changed-models">Changed models</a></li>
<li><a class="reference internal" href="#id5">Changelog</a><ul>
<li><a class="reference internal" href="#id6"><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-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="#id7"><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-utils"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.utils</span></code></a></li>
</ul>
</li>
<li><a class="reference internal" href="#id8">Code and Documentation Contributors</a></li>
</ul>
</li>
<li><a class="reference internal" href="#version-0-20-1">Version 0.20.1</a><ul>
<li><a class="reference internal" href="#id9">Changed models</a></li>
<li><a class="reference internal" href="#id10">Changelog</a><ul>
<li><a class="reference internal" href="#id11"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cluster</span></code></a></li>
<li><a class="reference internal" href="#id12"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.compose</span></code></a></li>
<li><a class="reference internal" href="#id13"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.datasets</span></code></a></li>
<li><a class="reference internal" href="#id14"><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="#id15"><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="#id16"><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="#id17"><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-mixture"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.mixture</span></code></a></li>
<li><a class="reference internal" href="#id18"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.neighbors</span></code></a></li>
<li><a class="reference internal" href="#id19"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.preprocessing</span></code></a></li>
<li><a class="reference internal" href="#id20"><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="#id21">Code and Documentation Contributors</a></li>
</ul>
</li>
<li><a class="reference internal" href="#version-0-20-0">Version 0.20.0</a><ul>
<li><a class="reference internal" href="#highlights">Highlights</a></li>
<li><a class="reference internal" href="#id22">Changed models</a></li>
<li><a class="reference internal" href="#known-major-bugs">Known Major Bugs</a></li>
<li><a class="reference internal" href="#id23">Changelog</a><ul>
<li><a class="reference internal" href="#id24"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cluster</span></code></a></li>
<li><a class="reference internal" href="#id25"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.compose</span></code></a></li>
<li><a class="reference internal" href="#id26"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.covariance</span></code></a></li>
<li><a class="reference internal" href="#id27"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.datasets</span></code></a></li>
<li><a class="reference internal" href="#id28"><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="#sklearn-dummy"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.dummy</span></code></a></li>
<li><a class="reference internal" href="#id29"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.ensemble</span></code></a></li>
<li><a class="reference internal" href="#id30"><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="#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="#id31"><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-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="#id32"><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="#id33"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.metrics</span></code></a></li>
<li><a class="reference internal" href="#id34"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.mixture</span></code></a></li>
<li><a class="reference internal" href="#id35"><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-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="#id36"><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="#id37"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.preprocessing</span></code></a></li>
<li><a class="reference internal" href="#id38"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.svm</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="#id39"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.utils</span></code></a></li>
<li><a class="reference internal" href="#multiple-modules">Multiple modules</a></li>
<li><a class="reference internal" href="#id40">Miscellaneous</a></li>
</ul>
</li>
<li><a class="reference internal" href="#changes-to-estimator-checks">Changes to estimator checks</a></li>
<li><a class="reference internal" href="#id41">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-0-20-4">
<span id="changes-0-20-4"></span><h1>Version 0.20.4<a class="headerlink" href="#version-0-20-4" title="Permalink to this heading">¶</a></h1>
<p><strong>July 30, 2019</strong></p>
<p>This is a bug-fix release with some bug fixes applied to version 0.20.3.</p>
<section id="changelog">
<h2>Changelog<a class="headerlink" href="#changelog" title="Permalink to this heading">¶</a></h2>
<p>The bundled version of joblib was upgraded from 0.13.0 to 0.13.2.</p>
<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-danger">Fix</span></span> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a> where KMeans++ initialisation
could rarely result in an IndexError. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/11756">#11756</a> by <a class="reference external" href="https://joelnothman.com/">Joel Nothman</a>.</p></li>
</ul>
</section>
<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> Fixed an issue in <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> where using
DataFrames whose column order differs between :func:<code class="docutils literal notranslate"><span class="pre">fit</span></code> and
:func:<code class="docutils literal notranslate"><span class="pre">transform</span></code> could lead to silently passing incorrect columns to the
<code class="docutils literal notranslate"><span class="pre">remainder</span></code> transformer.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/14237">#14237</a> by <code class="docutils literal notranslate"><span class="pre">Andreas</span> <span class="pre">Schuderer</span> <span class="pre"><schuderer></span></code>.</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.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> improving numerical
stability when <code class="docutils literal notranslate"><span class="pre">Y</span></code> is close to zero. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/pull/13903">#13903</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</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> Fixed a bug where <a class="reference internal" href="../modules/generated/sklearn.model_selection.StratifiedKFold.html#sklearn.model_selection.StratifiedKFold" title="sklearn.model_selection.StratifiedKFold"><code class="xref py py-class docutils literal notranslate"><span class="pre">model_selection.StratifiedKFold</span></code></a>
shuffles each class’s samples with the same <code class="docutils literal notranslate"><span class="pre">random_state</span></code>,
making <code class="docutils literal notranslate"><span class="pre">shuffle=True</span></code> ineffective.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/13124">#13124</a> by <a class="reference external" href="https://github.com/qinhanmin2014">Hanmin Qin</a>.</p></li>
</ul>
</section>
<section id="sklearn-neighbors">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.neighbors" title="sklearn.neighbors"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.neighbors</span></code></a><a class="headerlink" href="#sklearn-neighbors" 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.neighbors.KernelDensity.html#sklearn.neighbors.KernelDensity" title="sklearn.neighbors.KernelDensity"><code class="xref py py-class docutils literal notranslate"><span class="pre">neighbors.KernelDensity</span></code></a> which could not be
restored from a pickle if <code class="docutils literal notranslate"><span class="pre">sample_weight</span></code> had been used.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/13772">#13772</a> by <a class="reference external" href="https://github.com/aditya1702">Aditya Vyas</a>.</p></li>
</ul>
<blockquote>
<div></div></blockquote>
</section>
</section>
</section>
<section id="version-0-20-3">
<span id="changes-0-20-3"></span><h1>Version 0.20.3<a class="headerlink" href="#version-0-20-3" title="Permalink to this heading">¶</a></h1>
<p><strong>March 1, 2019</strong></p>
<p>This is a bug-fix release with some minor documentation improvements and
enhancements to features released in 0.20.0.</p>
<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.cluster" title="sklearn.cluster"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cluster</span></code></a><a class="headerlink" href="#id2" title="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.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a> where computation was single
threaded when <code class="docutils literal notranslate"><span class="pre">n_jobs</span> <span class="pre">></span> <span class="pre">1</span></code> or <code class="docutils literal notranslate"><span class="pre">n_jobs</span> <span class="pre">=</span> <span class="pre">-1</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12949">#12949</a> by <a class="reference external" href="https://github.com/nixphix">Prabakaran Kumaresshan</a>.</p></li>
</ul>
</section>
<section id="id3">
<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="#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> Fixed a bug in <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> to handle
negative indexes in the columns list of the transformers.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12946">#12946</a> by <a class="reference external" href="https://github.com/pierretallotte">Pierre Tallotte</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-danger">Fix</span></span> Fixed a regression in <a class="reference internal" href="../modules/generated/sklearn.covariance.graphical_lasso.html#sklearn.covariance.graphical_lasso" title="sklearn.covariance.graphical_lasso"><code class="xref py py-func docutils literal notranslate"><span class="pre">covariance.graphical_lasso</span></code></a> so that
the case <code class="docutils literal notranslate"><span class="pre">n_features=2</span></code> is handled correctly. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/13276">#13276</a> by
<a class="reference external" href="https://github.com/bellet">Aurélien Bellet</a>.</p></li>
</ul>
</section>
<section id="id4">
<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="#id4" 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.sparse_encode.html#sklearn.decomposition.sparse_encode" title="sklearn.decomposition.sparse_encode"><code class="xref py py-func docutils literal notranslate"><span class="pre">decomposition.sparse_encode</span></code></a> where computation was single
threaded when <code class="docutils literal notranslate"><span class="pre">n_jobs</span> <span class="pre">></span> <span class="pre">1</span></code> or <code class="docutils literal notranslate"><span class="pre">n_jobs</span> <span class="pre">=</span> <span class="pre">-1</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/13005">#13005</a> by <a class="reference external" href="https://github.com/nixphix">Prabakaran Kumaresshan</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-info">Efficiency</span></span> <a class="reference internal" href="../modules/generated/sklearn.datasets.fetch_openml.html#sklearn.datasets.fetch_openml" title="sklearn.datasets.fetch_openml"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.datasets.fetch_openml</span></code></a> now loads data by
streaming, avoiding high memory usage. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/13312">#13312</a> by <a class="reference external" href="https://github.com/jorisvandenbossche">Joris Van den
Bossche</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-danger">Fix</span></span> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.feature_extraction.text.CountVectorizer.html#sklearn.feature_extraction.text.CountVectorizer" title="sklearn.feature_extraction.text.CountVectorizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">feature_extraction.text.CountVectorizer</span></code></a> which
would result in the sparse feature matrix having conflicting <code class="docutils literal notranslate"><span class="pre">indptr</span></code> and
<code class="docutils literal notranslate"><span class="pre">indices</span></code> precisions under very large vocabularies. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/11295">#11295</a> by
<a class="reference external" href="https://github.com/gvacaliuc">Gabriel Vacaliuc</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-danger">Fix</span></span> add support for non-numeric data in
<a class="reference internal" href="../modules/generated/sklearn.impute.MissingIndicator.html#sklearn.impute.MissingIndicator" title="sklearn.impute.MissingIndicator"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.impute.MissingIndicator</span></code></a> which was not supported while
<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">sklearn.impute.SimpleImputer</span></code></a> was supporting this for some
imputation strategies.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/13046">#13046</a> by <a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</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.MultiTaskElasticNet.html#sklearn.linear_model.MultiTaskElasticNet" title="sklearn.linear_model.MultiTaskElasticNet"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.MultiTaskElasticNet</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.linear_model.MultiTaskLasso.html#sklearn.linear_model.MultiTaskLasso" title="sklearn.linear_model.MultiTaskLasso"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.MultiTaskLasso</span></code></a> which were breaking when
<code class="docutils literal notranslate"><span class="pre">warm_start</span> <span class="pre">=</span> <span class="pre">True</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12360">#12360</a> by <a class="reference external" href="https://github.com/joaak">Aakanksha Joshi</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> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.preprocessing.KBinsDiscretizer.html#sklearn.preprocessing.KBinsDiscretizer" title="sklearn.preprocessing.KBinsDiscretizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">preprocessing.KBinsDiscretizer</span></code></a> where
<code class="docutils literal notranslate"><span class="pre">strategy='kmeans'</span></code> fails with an error during transformation due to unsorted
bin edges. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/13134">#13134</a> by <a class="reference external" href="https://github.com/SandroCasagrande">Sandro Casagrande</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.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> where the
deprecation of <code class="docutils literal notranslate"><span class="pre">categorical_features</span></code> was handled incorrectly in
combination with <code class="docutils literal notranslate"><span class="pre">handle_unknown='ignore'</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12881">#12881</a> by <a class="reference external" href="https://github.com/jorisvandenbossche">Joris Van den Bossche</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Bins whose width are too small (i.e., <= 1e-8) are removed
with a warning in <a class="reference internal" href="../modules/generated/sklearn.preprocessing.KBinsDiscretizer.html#sklearn.preprocessing.KBinsDiscretizer" title="sklearn.preprocessing.KBinsDiscretizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">preprocessing.KBinsDiscretizer</span></code></a>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/13165">#13165</a> by <a class="reference external" href="https://github.com/qinhanmin2014">Hanmin Qin</a>.</p></li>
</ul>
</section>
<section id="sklearn-svm">
<h3><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><a class="headerlink" href="#sklearn-svm" 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.svm.SVC.html#sklearn.svm.SVC" title="sklearn.svm.SVC"><code class="xref py py-class docutils literal notranslate"><span class="pre">svm.SVC</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.svm.NuSVC.html#sklearn.svm.NuSVC" title="sklearn.svm.NuSVC"><code class="xref py py-class docutils literal notranslate"><span class="pre">svm.NuSVC</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.svm.SVR.html#sklearn.svm.SVR" title="sklearn.svm.SVR"><code class="xref py py-class docutils literal notranslate"><span class="pre">svm.SVR</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.svm.NuSVR.html#sklearn.svm.NuSVR" title="sklearn.svm.NuSVR"><code class="xref py py-class docutils literal notranslate"><span class="pre">svm.NuSVR</span></code></a> and <a class="reference internal" href="../modules/generated/sklearn.svm.OneClassSVM.html#sklearn.svm.OneClassSVM" title="sklearn.svm.OneClassSVM"><code class="xref py py-class docutils literal notranslate"><span class="pre">svm.OneClassSVM</span></code></a> where the <code class="docutils literal notranslate"><span class="pre">scale</span></code> option
of parameter <code class="docutils literal notranslate"><span class="pre">gamma</span></code> is erroneously defined as
<code class="docutils literal notranslate"><span class="pre">1</span> <span class="pre">/</span> <span class="pre">(n_features</span> <span class="pre">*</span> <span class="pre">X.std())</span></code>. It’s now defined as
<code class="docutils literal notranslate"><span class="pre">1</span> <span class="pre">/</span> <span class="pre">(n_features</span> <span class="pre">*</span> <span class="pre">X.var())</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/13221">#13221</a> by <a class="reference external" href="https://github.com/qinhanmin2014">Hanmin Qin</a>.</p></li>
</ul>
</section>
</section>
<section id="code-and-documentation-contributors">
<h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-documentation-contributors" title="Permalink to this heading">¶</a></h2>
<p>With thanks to:</p>
<p>Adrin Jalali, Agamemnon Krasoulis, Albert Thomas, Andreas Mueller, Aurélien
Bellet, bertrandhaut, Bharat Raghunathan, Dowon, Emmanuel Arias, Fibinse
Xavier, Finn O’Shea, Gabriel Vacaliuc, Gael Varoquaux, Guillaume Lemaitre,
Hanmin Qin, joaak, Joel Nothman, Joris Van den Bossche, Jérémie Méhault, kms15,
Kossori Aruku, Lakshya KD, maikia, Manuel López-Ibáñez, Marco Gorelli,
MarcoGorelli, mferrari3, Mickaël Schoentgen, Nicolas Hug, pavlos kallis, Pierre
Glaser, pierretallotte, Prabakaran Kumaresshan, Reshama Shaikh, Rohit Kapoor,
Roman Yurchak, SandroCasagrande, Tashay Green, Thomas Fan, Vishaal Kapoor,
Zhuyi Xue, Zijie (ZJ) Poh</p>
</section>
</section>
<section id="version-0-20-2">
<span id="changes-0-20-2"></span><h1>Version 0.20.2<a class="headerlink" href="#version-0-20-2" title="Permalink to this heading">¶</a></h1>
<p><strong>December 20, 2018</strong></p>
<p>This is a bug-fix release with some minor documentation improvements and
enhancements to features released in 0.20.0.</p>
<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><a class="reference internal" href="../modules/classes.html#module-sklearn.neighbors" title="sklearn.neighbors"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.neighbors</span></code></a> when <code class="docutils literal notranslate"><span class="pre">metric=='jaccard'</span></code> (bug fix)</p></li>
<li><p>use of <code class="docutils literal notranslate"><span class="pre">'seuclidean'</span></code> or <code class="docutils literal notranslate"><span class="pre">'mahalanobis'</span></code> metrics in some cases (bug fix)</p></li>
</ul>
</section>
<section id="id5">
<h2>Changelog<a class="headerlink" href="#id5" title="Permalink to this heading">¶</a></h2>
<section id="id6">
<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="#id6" 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 an issue in <a class="reference internal" href="../modules/generated/sklearn.compose.make_column_transformer.html#sklearn.compose.make_column_transformer" title="sklearn.compose.make_column_transformer"><code class="xref py py-func docutils literal notranslate"><span class="pre">compose.make_column_transformer</span></code></a> which raises
unexpected error when columns is pandas Index or pandas Series.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12704">#12704</a> by <a class="reference external" href="https://github.com/qinhanmin2014">Hanmin Qin</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> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.metrics.pairwise_distances.html#sklearn.metrics.pairwise_distances" title="sklearn.metrics.pairwise_distances"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.pairwise_distances</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.metrics.pairwise_distances_chunked.html#sklearn.metrics.pairwise_distances_chunked" title="sklearn.metrics.pairwise_distances_chunked"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.pairwise_distances_chunked</span></code></a> where parameters <code class="docutils literal notranslate"><span class="pre">V</span></code> of
<code class="docutils literal notranslate"><span class="pre">"seuclidean"</span></code> and <code class="docutils literal notranslate"><span class="pre">VI</span></code> of <code class="docutils literal notranslate"><span class="pre">"mahalanobis"</span></code> metrics were computed after
the data was split into chunks instead of being pre-computed on whole data.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12701">#12701</a> by <a class="reference external" href="https://github.com/jeremiedbb">Jeremie du Boisberranger</a>.</p></li>
</ul>
</section>
<section id="id7">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.neighbors" title="sklearn.neighbors"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.neighbors</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-danger">Fix</span></span> Fixed <code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.neighbors.DistanceMetric</span></code> jaccard distance
function to return 0 when two all-zero vectors are compared.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12685">#12685</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</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> Calling <a class="reference internal" href="../modules/generated/sklearn.utils.check_array.html#sklearn.utils.check_array" title="sklearn.utils.check_array"><code class="xref py py-func docutils literal notranslate"><span class="pre">utils.check_array</span></code></a> on <code class="docutils literal notranslate"><span class="pre">pandas.Series</span></code> with categorical
data, which raised an error in 0.20.0, now returns the expected output again.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12699">#12699</a> by <a class="reference external" href="https://github.com/jorisvandenbossche">Joris Van den Bossche</a>.</p></li>
</ul>
</section>
</section>
<section id="id8">
<h2>Code and Documentation Contributors<a class="headerlink" href="#id8" title="Permalink to this heading">¶</a></h2>
<p>With thanks to:</p>
<p>adanhawth, Adrin Jalali, Albert Thomas, Andreas Mueller, Dan Stine, Feda Curic,
Hanmin Qin, Jan S, jeremiedbb, Joel Nothman, Joris Van den Bossche,
josephsalmon, Katrin Leinweber, Loic Esteve, Muhammad Hassaan Rafique, Nicolas
Hug, Olivier Grisel, Paul Paczuski, Reshama Shaikh, Sam Waterbury, Shivam
Kotwalia, Thomas Fan</p>
</section>
</section>
<section id="version-0-20-1">
<span id="changes-0-20-1"></span><h1>Version 0.20.1<a class="headerlink" href="#version-0-20-1" title="Permalink to this heading">¶</a></h1>
<p><strong>November 21, 2018</strong></p>
<p>This is a bug-fix release with some minor documentation improvements and
enhancements to features released in 0.20.0. Note that we also include some
API changes in this release, so you might get some extra warnings after
updating from 0.20.0 to 0.20.1.</p>
<section id="id9">
<h2>Changed models<a class="headerlink" href="#id9" 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><a class="reference internal" href="../modules/generated/sklearn.decomposition.IncrementalPCA.html#sklearn.decomposition.IncrementalPCA" title="sklearn.decomposition.IncrementalPCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.IncrementalPCA</span></code></a> (bug fix)</p></li>
</ul>
</section>
<section id="id10">
<h2>Changelog<a class="headerlink" href="#id10" title="Permalink to this heading">¶</a></h2>
<section id="id11">
<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="#id11" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-info">Efficiency</span></span> make <a class="reference internal" href="../modules/generated/sklearn.cluster.MeanShift.html#sklearn.cluster.MeanShift" title="sklearn.cluster.MeanShift"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.MeanShift</span></code></a> no longer try to do nested
parallelism as the overhead would hurt performance significantly when
<code class="docutils literal notranslate"><span class="pre">n_jobs</span> <span class="pre">></span> <span class="pre">1</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12159">#12159</a> by <a class="reference external" href="https://github.com/ogrisel">Olivier Grisel</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.cluster.DBSCAN.html#sklearn.cluster.DBSCAN" title="sklearn.cluster.DBSCAN"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.DBSCAN</span></code></a> with precomputed sparse neighbors
graph, which would add explicitly zeros on the diagonal even when already
present. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12105">#12105</a> by <a class="reference external" href="https://github.com/TomDLT">Tom Dupre la Tour</a>.</p></li>
</ul>
</section>
<section id="id12">
<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="#id12" 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 an issue in <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> when stacking
columns with types not convertible to a numeric.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/11912">#11912</a> by <a class="reference external" href="https://github.com/adrinjalali">Adrin Jalali</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-warning">API Change</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 applies the <code class="docutils literal notranslate"><span class="pre">sparse_threshold</span></code>
even if all transformation results are sparse. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12304">#12304</a> by <a class="reference external" href="https://amueller.github.io/">Andreas
Müller</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.compose.make_column_transformer.html#sklearn.compose.make_column_transformer" title="sklearn.compose.make_column_transformer"><code class="xref py py-func docutils literal notranslate"><span class="pre">compose.make_column_transformer</span></code></a> now expects
<code class="docutils literal notranslate"><span class="pre">(transformer,</span> <span class="pre">columns)</span></code> instead of <code class="docutils literal notranslate"><span class="pre">(columns,</span> <span class="pre">transformer)</span></code> to keep
consistent with <a class="reference internal" href="../modules/generated/sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="sklearn.compose.ColumnTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">compose.ColumnTransformer</span></code></a>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12339">#12339</a> by <a class="reference external" href="https://github.com/adrinjalali">Adrin Jalali</a>.</p></li>
</ul>
</section>
<section id="id13">
<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="#id13" 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.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> to correctly use the local cache.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12246">#12246</a> by <a class="reference external" href="https://github.com/janvanrijn">Jan N. van Rijn</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.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> to correctly handle ignore attributes and
row id attributes. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12330">#12330</a> by <a class="reference external" href="https://github.com/janvanrijn">Jan N. van Rijn</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed integer overflow in <a class="reference internal" href="../modules/generated/sklearn.datasets.make_classification.html#sklearn.datasets.make_classification" title="sklearn.datasets.make_classification"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.make_classification</span></code></a>
for values of <code class="docutils literal notranslate"><span class="pre">n_informative</span></code> parameter larger than 64.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/10811">#10811</a> by <a class="reference external" href="https://github.com/VarIr">Roman Feldbauer</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed olivetti faces dataset <code class="docutils literal notranslate"><span class="pre">DESCR</span></code> attribute to point to the right
location in <a class="reference internal" href="../modules/generated/sklearn.datasets.fetch_olivetti_faces.html#sklearn.datasets.fetch_olivetti_faces" title="sklearn.datasets.fetch_olivetti_faces"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.fetch_olivetti_faces</span></code></a>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12441">#12441</a> by
<a class="reference external" href="https://github.com/jeremiedbb">Jérémie du Boisberranger</a></p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</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> to retry downloading when reading
from local cache fails. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12517">#12517</a> by <a class="reference external" href="https://github.com/thomasjpfan">Thomas Fan</a>.</p></li>
</ul>
</section>
<section id="id14">
<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="#id14" 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.decomposition.IncrementalPCA.html#sklearn.decomposition.IncrementalPCA" title="sklearn.decomposition.IncrementalPCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.IncrementalPCA</span></code></a> where
0.20.0 raised an error if the number of samples in the final batch for
fitting IncrementalPCA was smaller than n_components.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12234">#12234</a> by <a class="reference external" href="https://github.com/minggli">Ming Li</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 mostly affecting <a class="reference internal" href="../modules/generated/sklearn.ensemble.RandomForestClassifier.html#sklearn.ensemble.RandomForestClassifier" title="sklearn.ensemble.RandomForestClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.RandomForestClassifier</span></code></a>
where <code class="docutils literal notranslate"><span class="pre">class_weight='balanced_subsample'</span></code> failed with more than 32 classes.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12165">#12165</a> by <a class="reference external" href="https://joelnothman.com/">Joel Nothman</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug affecting <a class="reference internal" href="../modules/generated/sklearn.ensemble.BaggingClassifier.html#sklearn.ensemble.BaggingClassifier" title="sklearn.ensemble.BaggingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.BaggingClassifier</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.ensemble.BaggingRegressor.html#sklearn.ensemble.BaggingRegressor" title="sklearn.ensemble.BaggingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.BaggingRegressor</span></code></a> and <a class="reference internal" href="../modules/generated/sklearn.ensemble.IsolationForest.html#sklearn.ensemble.IsolationForest" title="sklearn.ensemble.IsolationForest"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.IsolationForest</span></code></a>,
where <code class="docutils literal notranslate"><span class="pre">max_features</span></code> was sometimes rounded down to zero.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12388">#12388</a> by <a class="reference external" href="https://github.com/Connossor">Connor Tann</a>.</p></li>
</ul>
</section>
<section id="id15">
<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="#id15" 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 v0.20.0 where
<a class="reference internal" href="../modules/generated/sklearn.feature_extraction.text.CountVectorizer.html#sklearn.feature_extraction.text.CountVectorizer" title="sklearn.feature_extraction.text.CountVectorizer"><code class="xref py py-func docutils literal notranslate"><span class="pre">feature_extraction.text.CountVectorizer</span></code></a> and other text vectorizers
could error during stop words validation with custom preprocessors
or tokenizers. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12393">#12393</a> by <a class="reference external" href="https://github.com/rth">Roman Yurchak</a>.</p></li>
</ul>
</section>
<section id="id16">
<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="#id16" 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.linear_model.SGDClassifier.html#sklearn.linear_model.SGDClassifier" title="sklearn.linear_model.SGDClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.SGDClassifier</span></code></a> and variants
with <code class="docutils literal notranslate"><span class="pre">early_stopping=True</span></code> would not use a consistent validation
split in the multiclass case and this would cause a crash when using
those estimators as part of parallel parameter search or cross-validation.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12122">#12122</a> by <a class="reference external" href="https://github.com/ogrisel">Olivier Grisel</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug affecting <code class="xref py py-class docutils literal notranslate"><span class="pre">SGDClassifier</span></code> in the multiclass
case. Each one-versus-all step is run in a <a class="reference external" href="https://joblib.readthedocs.io/en/latest/generated/joblib.Parallel.html#joblib.Parallel" title="(in joblib v1.3.0.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">joblib.Parallel</span></code></a> call and
mutating a common parameter, causing a segmentation fault if called within a
backend using processes and not threads. We now use <code class="docutils literal notranslate"><span class="pre">require=sharedmem</span></code>
at the <a class="reference external" href="https://joblib.readthedocs.io/en/latest/generated/joblib.Parallel.html#joblib.Parallel" title="(in joblib v1.3.0.dev0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">joblib.Parallel</span></code></a> instance creation. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12518">#12518</a> by
<a class="reference external" href="https://github.com/pierreglaser">Pierre Glaser</a> and <a class="reference external" href="https://github.com/ogrisel">Olivier Grisel</a>.</p></li>
</ul>
</section>
<section id="id17">
<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="#id17" 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 <code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.pairwise.pairwise_distances_argmin_min</span></code>
which returned the square root of the distance when the metric parameter was
set to “euclidean”. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12481">#12481</a> by
<a class="reference external" href="https://github.com/jeremiedbb">Jérémie du Boisberranger</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug in <code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.pairwise.pairwise_distances_chunked</span></code>
which didn’t ensure the diagonal is zero for euclidean distances.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12612">#12612</a> by <a class="reference external" href="https://github.com/amueller">Andreas Müller</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-warning">API Change</span></span> The <code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.calinski_harabaz_score</span></code> has been renamed to
<a class="reference internal" href="../modules/generated/sklearn.metrics.calinski_harabasz_score.html#sklearn.metrics.calinski_harabasz_score" title="sklearn.metrics.calinski_harabasz_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.calinski_harabasz_score</span></code></a> and will be removed in version 0.23.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12211">#12211</a> by <a class="reference external" href="https://github.com/LisaThomas9">Lisa Thomas</a>,
<a class="reference external" href="https://github.com/markhannel">Mark Hannel</a> and <a class="reference external" href="https://github.com/mferrari3">Melissa Ferrari</a>.</p></li>
</ul>
</section>
<section id="sklearn-mixture">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.mixture" title="sklearn.mixture"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.mixture</span></code></a><a class="headerlink" href="#sklearn-mixture" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Ensure that the <code class="docutils literal notranslate"><span class="pre">fit_predict</span></code> method of
<a class="reference internal" href="../modules/generated/sklearn.mixture.GaussianMixture.html#sklearn.mixture.GaussianMixture" title="sklearn.mixture.GaussianMixture"><code class="xref py py-class docutils literal notranslate"><span class="pre">mixture.GaussianMixture</span></code></a> and <a class="reference internal" href="../modules/generated/sklearn.mixture.BayesianGaussianMixture.html#sklearn.mixture.BayesianGaussianMixture" title="sklearn.mixture.BayesianGaussianMixture"><code class="xref py py-class docutils literal notranslate"><span class="pre">mixture.BayesianGaussianMixture</span></code></a>
always yield assignments consistent with <code class="docutils literal notranslate"><span class="pre">fit</span></code> followed by <code class="docutils literal notranslate"><span class="pre">predict</span></code> even
if the convergence criterion is too loose or not met. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12451">#12451</a>
by <a class="reference external" href="https://github.com/ogrisel">Olivier Grisel</a>.</p></li>
</ul>
</section>
<section id="id18">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.neighbors" title="sklearn.neighbors"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.neighbors</span></code></a><a class="headerlink" href="#id18" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> force the parallelism backend to <code class="code docutils literal notranslate"><span class="pre">threading</span></code> for
<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> and <a class="reference internal" href="../modules/generated/sklearn.neighbors.BallTree.html#sklearn.neighbors.BallTree" title="sklearn.neighbors.BallTree"><code class="xref py py-class docutils literal notranslate"><span class="pre">neighbors.BallTree</span></code></a> in Python 2.7 to
avoid pickling errors caused by the serialization of their methods.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12171">#12171</a> by <a class="reference external" href="https://github.com/tomMoral">Thomas Moreau</a>.</p></li>
</ul>
</section>
<section id="id19">
<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="#id19" 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 bug 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> when passing
manually specified categories. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12365">#12365</a> by <a class="reference external" href="https://github.com/jorisvandenbossche">Joris Van den Bossche</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed bug in <a class="reference internal" href="../modules/generated/sklearn.preprocessing.KBinsDiscretizer.html#sklearn.preprocessing.KBinsDiscretizer" title="sklearn.preprocessing.KBinsDiscretizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">preprocessing.KBinsDiscretizer</span></code></a> where the
<code class="docutils literal notranslate"><span class="pre">transform</span></code> method mutates the <code class="docutils literal notranslate"><span class="pre">_encoder</span></code> attribute. The <code class="docutils literal notranslate"><span class="pre">transform</span></code>
method is now thread safe. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12514">#12514</a> by
<a class="reference external" href="https://github.com/qinhanmin2014">Hanmin Qin</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.preprocessing.PowerTransformer.html#sklearn.preprocessing.PowerTransformer" title="sklearn.preprocessing.PowerTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">preprocessing.PowerTransformer</span></code></a> where the
Yeo-Johnson transform was incorrect for lambda parameters outside of <code class="docutils literal notranslate"><span class="pre">[0,</span> <span class="pre">2]</span></code>
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12522">#12522</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.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> where transform
failed when set to ignore unknown numpy strings of different lengths
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12471">#12471</a> by <a class="reference external" href="https://github.com/GMarzinotto">Gabriel Marzinotto</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-warning">API Change</span></span> The default value of the <code class="code docutils literal notranslate"><span class="pre">method</span></code> argument in
<a class="reference internal" href="../modules/generated/sklearn.preprocessing.power_transform.html#sklearn.preprocessing.power_transform" title="sklearn.preprocessing.power_transform"><code class="xref py py-func docutils literal notranslate"><span class="pre">preprocessing.power_transform</span></code></a> will be changed from <code class="code docutils literal notranslate"><span class="pre">box-cox</span></code>
to <code class="code docutils literal notranslate"><span class="pre">yeo-johnson</span></code> to match <a class="reference internal" href="../modules/generated/sklearn.preprocessing.PowerTransformer.html#sklearn.preprocessing.PowerTransformer" title="sklearn.preprocessing.PowerTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">preprocessing.PowerTransformer</span></code></a>
in version 0.23. A FutureWarning is raised when the default value is used.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12317">#12317</a> by <a class="reference external" href="https://github.com/chang">Eric Chang</a>.</p></li>
</ul>
</section>
<section id="id20">
<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="#id20" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Use float64 for mean accumulator to avoid floating point
precision issues in <a class="reference internal" href="../modules/generated/sklearn.preprocessing.StandardScaler.html#sklearn.preprocessing.StandardScaler" title="sklearn.preprocessing.StandardScaler"><code class="xref py py-class docutils literal notranslate"><span class="pre">preprocessing.StandardScaler</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.decomposition.IncrementalPCA.html#sklearn.decomposition.IncrementalPCA" title="sklearn.decomposition.IncrementalPCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.IncrementalPCA</span></code></a> when using float32 datasets.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12338">#12338</a> by <a class="reference external" href="https://github.com/bauks">bauks</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Calling <a class="reference internal" href="../modules/generated/sklearn.utils.check_array.html#sklearn.utils.check_array" title="sklearn.utils.check_array"><code class="xref py py-func docutils literal notranslate"><span class="pre">utils.check_array</span></code></a> on <code class="docutils literal notranslate"><span class="pre">pandas.Series</span></code>, which
raised an error in 0.20.0, now returns the expected output again.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12625">#12625</a> by <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a></p></li>
</ul>
</section>
<section id="miscellaneous">
<h3>Miscellaneous<a class="headerlink" href="#miscellaneous" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> When using site joblib by setting the environment variable
<code class="docutils literal notranslate"><span class="pre">SKLEARN_SITE_JOBLIB</span></code>, added compatibility with joblib 0.11 in addition
to 0.12+. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12350">#12350</a> by <a class="reference external" href="https://joelnothman.com/">Joel Nothman</a> and <a class="reference external" href="https://github.com/rth">Roman Yurchak</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Make sure to avoid raising <code class="docutils literal notranslate"><span class="pre">FutureWarning</span></code> when calling
<code class="docutils literal notranslate"><span class="pre">np.vstack</span></code> with numpy 1.16 and later (use list comprehensions
instead of generator expressions in many locations of the scikit-learn
code base). <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12467">#12467</a> by <a class="reference external" href="https://github.com/ogrisel">Olivier Grisel</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-warning">API Change</span></span> Removed all mentions of <code class="docutils literal notranslate"><span class="pre">sklearn.externals.joblib</span></code>, and deprecated
joblib methods exposed in <code class="docutils literal notranslate"><span class="pre">sklearn.utils</span></code>, except for
<a class="reference internal" href="../modules/generated/sklearn.utils.parallel_backend.html#sklearn.utils.parallel_backend" title="sklearn.utils.parallel_backend"><code class="xref py py-func docutils literal notranslate"><span class="pre">utils.parallel_backend</span></code></a> and <a class="reference internal" href="../modules/generated/sklearn.utils.register_parallel_backend.html#sklearn.utils.register_parallel_backend" title="sklearn.utils.register_parallel_backend"><code class="xref py py-func docutils literal notranslate"><span class="pre">utils.register_parallel_backend</span></code></a>,
which allow users to configure parallel computation in scikit-learn.
Other functionalities are part of <a class="reference external" href="https://joblib.readthedocs.io/">joblib</a>.
package and should be used directly, by installing it.
The goal of this change is to prepare for
unvendoring joblib in future version of scikit-learn.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/12345">#12345</a> by <a class="reference external" href="https://github.com/tomMoral">Thomas Moreau</a></p></li>
</ul>
</section>
</section>
<section id="id21">
<h2>Code and Documentation Contributors<a class="headerlink" href="#id21" title="Permalink to this heading">¶</a></h2>
<p>With thanks to:</p>
<p>^__^, Adrin Jalali, Andrea Navarrete, Andreas Mueller,
bauks, BenjaStudio, Cheuk Ting Ho, Connossor,
Corey Levinson, Dan Stine, daten-kieker, Denis Kataev,
Dillon Gardner, Dmitry Vukolov, Dougal J. Sutherland, Edward J Brown,
Eric Chang, Federico Caselli, Gabriel Marzinotto, Gael Varoquaux,
GauravAhlawat, Gustavo De Mari Pereira, Hanmin Qin, haroldfox,
JackLangerman, Jacopo Notarstefano, janvanrijn, jdethurens,
jeremiedbb, Joel Nothman, Joris Van den Bossche, Koen,
Kushal Chauhan, Lee Yi Jie Joel, Lily Xiong, mail-liam,
Mark Hannel, melsyt, Ming Li, Nicholas Smith,
Nicolas Hug, Nikolay Shebanov, Oleksandr Pavlyk, Olivier Grisel,
Peter Hausamann, Pierre Glaser, Pulkit Maloo, Quentin Batista,
Radostin Stoyanov, Ramil Nugmanov, Rebekah Kim, Reshama Shaikh,
Rohan Singh, Roman Feldbauer, Roman Yurchak, Roopam Sharma,
Sam Waterbury, Scott Lowe, Sebastian Raschka, Stephen Tierney,
SylvainLan, TakingItCasual, Thomas Fan, Thomas Moreau,
Tom Dupré la Tour, Tulio Casagrande, Utkarsh Upadhyay, Xing Han Lu,
Yaroslav Halchenko, Zach Miller</p>
</section>
</section>
<section id="version-0-20-0">
<span id="changes-0-20"></span><h1>Version 0.20.0<a class="headerlink" href="#version-0-20-0" title="Permalink to this heading">¶</a></h1>
<p><strong>September 25, 2018</strong></p>
<p>This release packs in a mountain of bug fixes, features and enhancements for
the Scikit-learn library, and improvements to the documentation and examples.
Thanks to our contributors!</p>
<p>This release is dedicated to the memory of Raghav Rajagopalan.</p>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>Version 0.20 is the last version of scikit-learn to support Python 2.7 and Python 3.4.
Scikit-learn 0.21 will require Python 3.5 or higher.</p>
</div>
<section id="highlights">
<h2>Highlights<a class="headerlink" href="#highlights" title="Permalink to this heading">¶</a></h2>
<p>We have tried to improve our support for common data-science use-cases
including missing values, categorical variables, heterogeneous data, and
features/targets with unusual distributions.
Missing values in features, represented by NaNs, are now accepted in
column-wise preprocessing such as scalers. Each feature is fitted disregarding
NaNs, and data containing NaNs can be transformed. The new <code class="xref py py-mod docutils literal notranslate"><span class="pre">impute</span></code>
module provides estimators for learning despite missing data.</p>
<p><a class="reference internal" href="../modules/generated/sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="sklearn.compose.ColumnTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColumnTransformer</span></code></a> handles the case where different features
or columns of a pandas.DataFrame need different preprocessing.
String or pandas Categorical columns can now be encoded with
<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">OneHotEncoder</span></code></a> or
<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">OrdinalEncoder</span></code></a>.</p>
<p><a class="reference internal" href="../modules/generated/sklearn.compose.TransformedTargetRegressor.html#sklearn.compose.TransformedTargetRegressor" title="sklearn.compose.TransformedTargetRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">TransformedTargetRegressor</span></code></a> helps when the regression target
needs to be transformed to be modeled. <a class="reference internal" href="../modules/generated/sklearn.preprocessing.PowerTransformer.html#sklearn.preprocessing.PowerTransformer" title="sklearn.preprocessing.PowerTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">PowerTransformer</span></code></a>
and <a class="reference internal" href="../modules/generated/sklearn.preprocessing.KBinsDiscretizer.html#sklearn.preprocessing.KBinsDiscretizer" title="sklearn.preprocessing.KBinsDiscretizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">KBinsDiscretizer</span></code></a> join
<a class="reference internal" href="../modules/generated/sklearn.preprocessing.QuantileTransformer.html#sklearn.preprocessing.QuantileTransformer" title="sklearn.preprocessing.QuantileTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">QuantileTransformer</span></code></a> as non-linear transformations.</p>
<p>Beyond this, we have added <a class="reference internal" href="../glossary.html#term-sample_weight"><span class="xref std std-term">sample_weight</span></a> support to several estimators
(including <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">KMeans</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.linear_model.BayesianRidge.html#sklearn.linear_model.BayesianRidge" title="sklearn.linear_model.BayesianRidge"><code class="xref py py-class docutils literal notranslate"><span class="pre">BayesianRidge</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.neighbors.KernelDensity.html#sklearn.neighbors.KernelDensity" title="sklearn.neighbors.KernelDensity"><code class="xref py py-class docutils literal notranslate"><span class="pre">KernelDensity</span></code></a>) and improved stopping criteria in others
(including <a class="reference internal" href="../modules/generated/sklearn.neural_network.MLPRegressor.html#sklearn.neural_network.MLPRegressor" title="sklearn.neural_network.MLPRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">MLPRegressor</span></code></a>,
<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">GradientBoostingRegressor</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.linear_model.SGDRegressor.html#sklearn.linear_model.SGDRegressor" title="sklearn.linear_model.SGDRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">SGDRegressor</span></code></a>).</p>
<p>This release is also the first to be accompanied by a <a class="reference internal" href="../glossary.html#glossary"><span class="std std-ref">Glossary of Common Terms and API Elements</span></a> developed
by <a class="reference external" href="https://joelnothman.com/">Joel Nothman</a>. The glossary is a reference resource to help users and
contributors become familiar with the terminology and conventions used in
Scikit-learn.</p>
<p>Sorry if your contribution didn’t make it into the highlights. There’s a lot
here…</p>
</section>
<section id="id22">
<h2>Changed models<a class="headerlink" href="#id22" 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><a class="reference internal" href="../modules/generated/sklearn.cluster.MeanShift.html#sklearn.cluster.MeanShift" title="sklearn.cluster.MeanShift"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.MeanShift</span></code></a> (bug fix)</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.decomposition.IncrementalPCA.html#sklearn.decomposition.IncrementalPCA" title="sklearn.decomposition.IncrementalPCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.IncrementalPCA</span></code></a> in Python 2 (bug fix)</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.decomposition.SparsePCA.html#sklearn.decomposition.SparsePCA" title="sklearn.decomposition.SparsePCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.SparsePCA</span></code></a> (bug fix)</p></li>
<li><p><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> (bug fix affecting feature importances)</p></li>
<li><p><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> (bug fix)</p></li>
<li><p><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> (bug fix)</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.linear_model.LogisticRegressionCV.html#sklearn.linear_model.LogisticRegressionCV" title="sklearn.linear_model.LogisticRegressionCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.LogisticRegressionCV</span></code></a> (bug fix)</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html#sklearn.linear_model.OrthogonalMatchingPursuit" title="sklearn.linear_model.OrthogonalMatchingPursuit"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.OrthogonalMatchingPursuit</span></code></a> (bug fix)</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html#sklearn.linear_model.PassiveAggressiveClassifier" title="sklearn.linear_model.PassiveAggressiveClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.PassiveAggressiveClassifier</span></code></a> (bug fix)</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html#sklearn.linear_model.PassiveAggressiveRegressor" title="sklearn.linear_model.PassiveAggressiveRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.PassiveAggressiveRegressor</span></code></a> (bug fix)</p></li>
<li><p><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> (bug fix)</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.linear_model.SGDClassifier.html#sklearn.linear_model.SGDClassifier" title="sklearn.linear_model.SGDClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.SGDClassifier</span></code></a> (bug fix)</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.linear_model.SGDRegressor.html#sklearn.linear_model.SGDRegressor" title="sklearn.linear_model.SGDRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.SGDRegressor</span></code></a> (bug fix)</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.metrics.roc_auc_score.html#sklearn.metrics.roc_auc_score" title="sklearn.metrics.roc_auc_score"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrics.roc_auc_score</span></code></a> (bug fix)</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.metrics.roc_curve.html#sklearn.metrics.roc_curve" title="sklearn.metrics.roc_curve"><code class="xref py py-class docutils literal notranslate"><span class="pre">metrics.roc_curve</span></code></a> (bug fix)</p></li>
<li><p><code class="xref py py-class docutils literal notranslate"><span class="pre">neural_network.BaseMultilayerPerceptron</span></code> (bug fix)</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.neural_network.MLPClassifier.html#sklearn.neural_network.MLPClassifier" title="sklearn.neural_network.MLPClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">neural_network.MLPClassifier</span></code></a> (bug fix)</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.neural_network.MLPRegressor.html#sklearn.neural_network.MLPRegressor" title="sklearn.neural_network.MLPRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">neural_network.MLPRegressor</span></code></a> (bug fix)</p></li>
<li><p>The v0.19.0 release notes failed to mention a backwards incompatibility with
<a class="reference internal" href="../modules/generated/sklearn.model_selection.StratifiedKFold.html#sklearn.model_selection.StratifiedKFold" title="sklearn.model_selection.StratifiedKFold"><code class="xref py py-class docutils literal notranslate"><span class="pre">model_selection.StratifiedKFold</span></code></a> when <code class="docutils literal notranslate"><span class="pre">shuffle=True</span></code> due to
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/7823">#7823</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="known-major-bugs">
<h2>Known Major Bugs<a class="headerlink" href="#known-major-bugs" title="Permalink to this heading">¶</a></h2>
<ul class="simple">
<li><p><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/11924">#11924</a>: <a class="reference internal" href="../modules/generated/sklearn.linear_model.LogisticRegressionCV.html#sklearn.linear_model.LogisticRegressionCV" title="sklearn.linear_model.LogisticRegressionCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">linear_model.LogisticRegressionCV</span></code></a> with
<code class="docutils literal notranslate"><span class="pre">solver='lbfgs'</span></code> and <code class="docutils literal notranslate"><span class="pre">multi_class='multinomial'</span></code> may be non-deterministic or
otherwise broken on macOS. This appears to be the case on Travis CI servers,
but has not been confirmed on personal MacBooks! This issue has been present
in previous releases.</p></li>
<li><p><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/9354">#9354</a>: <a class="reference internal" href="../modules/generated/sklearn.metrics.pairwise.euclidean_distances.html#sklearn.metrics.pairwise.euclidean_distances" title="sklearn.metrics.pairwise.euclidean_distances"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.pairwise.euclidean_distances</span></code></a> (which is used
several times throughout the library) gives results with poor precision,
which particularly affects its use with 32-bit float inputs. This became
more problematic in versions 0.18 and 0.19 when some algorithms were changed
to avoid casting 32-bit data into 64-bit.</p></li>
</ul>
</section>
<section id="id23">
<h2>Changelog<a class="headerlink" href="#id23" title="Permalink to this heading">¶</a></h2>
<p>Support for Python 3.3 has been officially dropped.</p>
<section id="id24">
<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="#id24" 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.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> now supports Single
Linkage clustering via <code class="docutils literal notranslate"><span class="pre">linkage='single'</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/9372">#9372</a> by <a class="reference external" href="https://github.com/lmcinnes">Leland
McInnes</a> and <a class="reference external" href="https://github.com/sastels">Steve Astels</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.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a> and <a class="reference internal" href="../modules/generated/sklearn.cluster.MiniBatchKMeans.html#sklearn.cluster.MiniBatchKMeans" title="sklearn.cluster.MiniBatchKMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.MiniBatchKMeans</span></code></a> now support
sample weights via new parameter <code class="docutils literal notranslate"><span class="pre">sample_weight</span></code> in <code class="docutils literal notranslate"><span class="pre">fit</span></code> function.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/10933">#10933</a> by <a class="reference external" href="https://github.com/jnhansen">Johannes Hansen</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.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.cluster.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> and
<a class="reference internal" href="../modules/generated/sklearn.cluster.k_means.html#sklearn.cluster.k_means" title="sklearn.cluster.k_means"><code class="xref py py-func docutils literal notranslate"><span class="pre">cluster.k_means</span></code></a> passed with <code class="docutils literal notranslate"><span class="pre">algorithm='full'</span></code> now enforces
row-major ordering, improving runtime.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/10471">#10471</a> by <a class="reference external" href="https://github.com/gxyd">Gaurav Dhingra</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.cluster.DBSCAN.html#sklearn.cluster.DBSCAN" title="sklearn.cluster.DBSCAN"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.DBSCAN</span></code></a> now is parallelized according to <code class="docutils literal notranslate"><span class="pre">n_jobs</span></code>
regardless of <code class="docutils literal notranslate"><span class="pre">algorithm</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/8003">#8003</a> by <a class="reference external" href="https://github.com/recamshak">Joël Billaud</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.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a> now gives a warning if the number of
distinct clusters found is smaller than <code class="docutils literal notranslate"><span class="pre">n_clusters</span></code>. This may occur when
the number of distinct points in the data set is actually smaller than the
number of cluster one is looking for.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/10059">#10059</a> by <a class="reference external" href="https://github.com/christianbraune79">Christian Braune</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug where the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method of
<a class="reference internal" href="../modules/generated/sklearn.cluster.AffinityPropagation.html#sklearn.cluster.AffinityPropagation" title="sklearn.cluster.AffinityPropagation"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.AffinityPropagation</span></code></a> stored cluster
centers as 3d array instead of 2d array in case of non-convergence. For the
same class, fixed undefined and arbitrary behavior in case of training data
where all samples had equal similarity.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/9612">#9612</a>. By <a class="reference external" href="https://github.com/jsamoocha">Jonatan Samoocha</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.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> where the normalization of
the spectrum was using a division instead of a multiplication. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/8129">#8129</a>
by <a class="reference external" href="https://github.com/jmargeta">Jan Margeta</a>, <a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</a>,
and <a class="reference external" href="https://github.com/devanshdalal">Devansh D.</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug in <code class="xref py py-func docutils literal notranslate"><span class="pre">cluster.k_means_elkan</span></code> where the returned
<code class="docutils literal notranslate"><span class="pre">iteration</span></code> was 1 less than the correct value. Also added the missing
<code class="docutils literal notranslate"><span class="pre">n_iter_</span></code> attribute in the docstring of <a class="reference internal" href="../modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/11353">#11353</a> by <a class="reference external" href="https://github.com/jeremiedbb">Jeremie du Boisberranger</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug in <a class="reference internal" href="../modules/generated/sklearn.cluster.mean_shift.html#sklearn.cluster.mean_shift" title="sklearn.cluster.mean_shift"><code class="xref py py-func docutils literal notranslate"><span class="pre">cluster.mean_shift</span></code></a> where the assigned labels
were not deterministic if there were multiple clusters with the same
intensities.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/11901">#11901</a> by <a class="reference external" href="https://github.com/adrinjalali">Adrin Jalali</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-warning">API Change</span></span> Deprecate <code class="docutils literal notranslate"><span class="pre">pooling_func</span></code> unused parameter in
<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>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/9875">#9875</a> by <a class="reference external" href="https://github.com/thechargedneutron">Kumar Ashutosh</a>.</p></li>
</ul>
</section>
<section id="id25">
<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="#id25" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p>New module.</p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Major Feature</span></span> Added <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>, which allows to
apply different transformers to different columns of arrays or pandas
DataFrames. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/9012">#9012</a> by <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a> and <a class="reference external" href="https://github.com/jorisvandenbossche">Joris Van den Bossche</a>,
and <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/11315">#11315</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-success">Major Feature</span></span> Added the <a class="reference internal" href="../modules/generated/sklearn.compose.TransformedTargetRegressor.html#sklearn.compose.TransformedTargetRegressor" title="sklearn.compose.TransformedTargetRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">compose.TransformedTargetRegressor</span></code></a> which
transforms the target y before fitting a regression model. The predictions
are mapped back to the original space via an inverse transform. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/9041">#9041</a>
by <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a> and <a class="reference external" href="https://github.com/glemaitre">Guillaume Lemaitre</a>.</p></li>
</ul>
</section>
<section id="id26">
<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="#id26" title="Permalink to this heading">¶</a></h3>
<ul class="simple">
<li><p><span class="raw-html"><span class="badge badge-info">Efficiency</span></span> Runtime improvements to <a class="reference internal" href="../modules/generated/sklearn.covariance.GraphicalLasso.html#sklearn.covariance.GraphicalLasso" title="sklearn.covariance.GraphicalLasso"><code class="xref py py-class docutils literal notranslate"><span class="pre">covariance.GraphicalLasso</span></code></a>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/9858">#9858</a> by <a class="reference external" href="https://github.com/stevendbrown">Steven Brown</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-warning">API Change</span></span> The <code class="xref py py-func docutils literal notranslate"><span class="pre">covariance.graph_lasso</span></code>,
<code class="xref py py-class docutils literal notranslate"><span class="pre">covariance.GraphLasso</span></code> and <code class="xref py py-class docutils literal notranslate"><span class="pre">covariance.GraphLassoCV</span></code> have been
renamed to <a class="reference internal" href="../modules/generated/sklearn.covariance.graphical_lasso.html#sklearn.covariance.graphical_lasso" title="sklearn.covariance.graphical_lasso"><code class="xref py py-func docutils literal notranslate"><span class="pre">covariance.graphical_lasso</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.covariance.GraphicalLasso.html#sklearn.covariance.GraphicalLasso" title="sklearn.covariance.GraphicalLasso"><code class="xref py py-class docutils literal notranslate"><span class="pre">covariance.GraphicalLasso</span></code></a> and <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>
respectively and will be removed in version 0.22.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/9993">#9993</a> by <a class="reference external" href="https://github.com/artiemq">Artiem Krinitsyn</a></p></li>
</ul>
</section>
<section id="id27">
<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="#id27" 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 <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> to fetch datasets from
<a class="reference external" href="https://openml.org">OpenML</a>. OpenML is a free, open data sharing platform
and will be used instead of mldata as it provides better service availability.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/9908">#9908</a> by <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a> and <a class="reference external" href="https://github.com/janvanrijn">Jan N. van Rijn</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> In <a class="reference internal" href="../modules/generated/sklearn.datasets.make_blobs.html#sklearn.datasets.make_blobs" title="sklearn.datasets.make_blobs"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.make_blobs</span></code></a>, one can now pass a list to the
<code class="docutils literal notranslate"><span class="pre">n_samples</span></code> parameter to indicate the number of samples to generate per
cluster. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/8617">#8617</a> by <a class="reference external" href="https://github.com/maskani-moh">Maskani Filali Mohamed</a> and
<a class="reference external" href="https://github.com/kkatrio">Konstantinos Katrioplas</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">filename</span></code> attribute to <code class="xref py py-mod docutils literal notranslate"><span class="pre">datasets</span></code> that have a CSV file.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/9101">#9101</a> by <a class="reference external" href="https://github.com/alex-33">alex-33</a>
and <a class="reference external" href="https://github.com/maskani-moh">Maskani Filali Mohamed</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> <code class="docutils literal notranslate"><span class="pre">return_X_y</span></code> parameter has been added to several dataset loaders.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/10774">#10774</a> by <a class="reference external" href="https://github.com/ccatalfo">Chris Catalfo</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug in <code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.load_boston</span></code> which had a wrong data
point. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/10795">#10795</a> by <a class="reference external" href="https://github.com/tarcusx">Takeshi Yoshizawa</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.datasets.load_iris.html#sklearn.datasets.load_iris" title="sklearn.datasets.load_iris"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.load_iris</span></code></a> which had two wrong data points.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/11082">#11082</a> by <a class="reference external" href="https://github.com/rotuna">Sadhana Srinivasan</a>
and <a class="reference external" href="https://github.com/qinhanmin2014">Hanmin Qin</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.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>, where data were not
properly shuffled. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/9731">#9731</a> by <a class="reference external" href="https://ngoix.github.io/">Nicolas Goix</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.datasets.make_circles.html#sklearn.datasets.make_circles" title="sklearn.datasets.make_circles"><code class="xref py py-func docutils literal notranslate"><span class="pre">datasets.make_circles</span></code></a>, where no odd number of
data points could be generated. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/10045">#10045</a> by <a class="reference external" href="https://github.com/christianbraune79">Christian Braune</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-warning">API Change</span></span> Deprecated <code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.datasets.fetch_mldata</span></code> to be removed in
version 0.22. mldata.org is no longer operational. Until removal it will
remain possible to load cached datasets. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/11466">#11466</a> by <a class="reference external" href="https://joelnothman.com/">Joel Nothman</a>.</p></li>
</ul>
</section>
<section id="id28">
<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="#id28" 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.decomposition.dict_learning.html#sklearn.decomposition.dict_learning" title="sklearn.decomposition.dict_learning"><code class="xref py py-func docutils literal notranslate"><span class="pre">decomposition.dict_learning</span></code></a> functions and models now
support positivity constraints. This applies to the dictionary and sparse
code. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/6374">#6374</a> by <a class="reference external" href="https://github.com/jakirkham">John Kirkham</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> <span class="raw-html"><span class="badge badge-danger">Fix</span></span> <a class="reference internal" href="../modules/generated/sklearn.decomposition.SparsePCA.html#sklearn.decomposition.SparsePCA" title="sklearn.decomposition.SparsePCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.SparsePCA</span></code></a> now exposes
<code class="docutils literal notranslate"><span class="pre">normalize_components</span></code>. When set to True, the train and test data are
centered with the train mean respectively during the fit phase and the
transform phase. This fixes the behavior of SparsePCA. When set to False,
which is the default, the previous abnormal behaviour still holds. The False
value is for backward compatibility and should not be used. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/11585">#11585</a>
by <a class="reference external" href="https://github.com/FollowKenny">Ivan Panico</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-info">Efficiency</span></span> Efficiency improvements in <a class="reference internal" href="../modules/generated/sklearn.decomposition.dict_learning.html#sklearn.decomposition.dict_learning" title="sklearn.decomposition.dict_learning"><code class="xref py py-func docutils literal notranslate"><span class="pre">decomposition.dict_learning</span></code></a>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/11420">#11420</a> and others by <a class="reference external" href="https://github.com/jakirkham">John Kirkham</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fix for uninformative error in <a class="reference internal" href="../modules/generated/sklearn.decomposition.IncrementalPCA.html#sklearn.decomposition.IncrementalPCA" title="sklearn.decomposition.IncrementalPCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.IncrementalPCA</span></code></a>:
now an error is raised if the number of components is larger than the
chosen batch size. The <code class="docutils literal notranslate"><span class="pre">n_components=None</span></code> case was adapted accordingly.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/6452">#6452</a>. By <a class="reference external" href="https://github.com/wallygauze">Wally Gauze</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed a bug where the <code class="docutils literal notranslate"><span class="pre">partial_fit</span></code> method of
<a class="reference internal" href="../modules/generated/sklearn.decomposition.IncrementalPCA.html#sklearn.decomposition.IncrementalPCA" title="sklearn.decomposition.IncrementalPCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.IncrementalPCA</span></code></a> used integer division instead of float
division on Python 2.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/9492">#9492</a> by <a class="reference external" href="https://github.com/jrbourbeau">James Bourbeau</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> In <a class="reference internal" href="../modules/generated/sklearn.decomposition.PCA.html#sklearn.decomposition.PCA" title="sklearn.decomposition.PCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.PCA</span></code></a> selecting a n_components parameter greater
than the number of samples now raises an error. Similarly, the
<code class="docutils literal notranslate"><span class="pre">n_components=None</span></code> case now selects the minimum of <code class="docutils literal notranslate"><span class="pre">n_samples</span></code> and
<code class="docutils literal notranslate"><span class="pre">n_features</span></code>.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/8484">#8484</a> by <a class="reference external" href="https://github.com/wallygauze">Wally Gauze</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.decomposition.PCA.html#sklearn.decomposition.PCA" title="sklearn.decomposition.PCA"><code class="xref py py-class docutils literal notranslate"><span class="pre">decomposition.PCA</span></code></a> where users will get
unexpected error with large datasets when <code class="docutils literal notranslate"><span class="pre">n_components='mle'</span></code> on Python 3
versions.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/9886">#9886</a> by <a class="reference external" href="https://github.com/qinhanmin2014">Hanmin Qin</a>.</p></li>
<li><p><span class="raw-html"><span class="badge badge-danger">Fix</span></span> Fixed an underflow in calculating KL-divergence for
<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> <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/10142">#10142</a> by <a class="reference external" href="https://github.com/TomDLT">Tom Dupre la Tour</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.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> when running OMP
sparse coding in parallel using read-only memory mapped datastructures.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/5956">#5956</a> by <a class="reference external" href="https://github.com/vighneshbirodkar">Vighnesh Birodkar</a> and
<a class="reference external" href="https://github.com/ogrisel">Olivier Grisel</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">Efficiency</span></span> Memory usage improvement for <code class="xref py py-func docutils literal notranslate"><span class="pre">_class_means</span></code> and
<code class="xref py py-func docutils literal notranslate"><span class="pre">_class_cov</span></code> in <code class="xref py py-mod docutils literal notranslate"><span class="pre">discriminant_analysis</span></code>. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/10898">#10898</a> by
<a class="reference external" href="https://github.com/bobchennan">Nanxin Chen</a>.</p></li>
</ul>
</section>
<section id="sklearn-dummy">
<h3><a class="reference internal" href="../modules/classes.html#module-sklearn.dummy" title="sklearn.dummy"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.dummy</span></code></a><a class="headerlink" href="#sklearn-dummy" 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.dummy.DummyRegressor.html#sklearn.dummy.DummyRegressor" title="sklearn.dummy.DummyRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dummy.DummyRegressor</span></code></a> now has a <code class="docutils literal notranslate"><span class="pre">return_std</span></code> option in its
<code class="docutils literal notranslate"><span class="pre">predict</span></code> method. The returned standard deviations will be zeros.</p></li>
<li><p><span class="raw-html"><span class="badge badge-success">Feature</span></span> <a class="reference internal" href="../modules/generated/sklearn.dummy.DummyClassifier.html#sklearn.dummy.DummyClassifier" title="sklearn.dummy.DummyClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">dummy.DummyClassifier</span></code></a> and <a class="reference internal" href="../modules/generated/sklearn.dummy.DummyRegressor.html#sklearn.dummy.DummyRegressor" title="sklearn.dummy.DummyRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dummy.DummyRegressor</span></code></a> now
only require X to be an object with finite length or shape. <a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/9832">#9832</a> by
<a class="reference external" href="https://github.com/vrishank97">Vrishank Bhardwaj</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.dummy.DummyClassifier.html#sklearn.dummy.DummyClassifier" title="sklearn.dummy.DummyClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">dummy.DummyClassifier</span></code></a> and <a class="reference internal" href="../modules/generated/sklearn.dummy.DummyRegressor.html#sklearn.dummy.DummyRegressor" title="sklearn.dummy.DummyRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dummy.DummyRegressor</span></code></a>
can now be scored without supplying test samples.
<a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues/11951">#11951</a> by <a class="reference external" href="https://github.com/JarnoRFB">Rüdiger Busche</a>.</p></li>
</ul>
</section>
<section id="id29">
<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="#id29" 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.ensemble.BaggingRegressor.html#sklearn.ensemble.BaggingRegressor" title="sklearn.ensemble.BaggingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.BaggingRegressor</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.ensemble.BaggingClassifier.html#sklearn.ensemble.BaggingClassifier" title="sklearn.ensemble.BaggingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">ensemble.BaggingClassifier</span></code></a> can now be fit with missing/non-finite
values in X and/or multi-output Y to support wrapping pipelines that perform