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<li class="toctree-l1 has-children"><a class="reference internal" href="sklearn.compose.html">sklearn.compose</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="sklearn.cross_decomposition.html">sklearn.cross_decomposition</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="sklearn.datasets.html">sklearn.datasets</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="sklearn.decomposition.html">sklearn.decomposition</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="sklearn.discriminant_analysis.html">sklearn.discriminant_analysis</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="sklearn.dummy.html">sklearn.dummy</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="sklearn.ensemble.html">sklearn.ensemble</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l1 current active has-children"><a class="current reference internal" href="#">sklearn.exceptions</a><details open="open"><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="sklearn.experimental.html">sklearn.experimental</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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  <section id="module-sklearn.exceptions">
<span id="sklearn-exceptions"></span><span id="exceptions-ref"></span><h1>sklearn.exceptions<a class="headerlink" href="#module-sklearn.exceptions" title="Link to this heading">#</a></h1>
<p>Custom warnings and errors used across scikit-learn.</p>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.exceptions.ConvergenceWarning.html#sklearn.exceptions.ConvergenceWarning" title="sklearn.exceptions.ConvergenceWarning"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ConvergenceWarning</span></code></a></p></td>
<td><p>Custom warning to capture convergence problems</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="../modules/generated/sklearn.exceptions.DataConversionWarning.html#sklearn.exceptions.DataConversionWarning" title="sklearn.exceptions.DataConversionWarning"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataConversionWarning</span></code></a></p></td>
<td><p>Warning used to notify implicit data conversions happening in the code.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.exceptions.DataDimensionalityWarning.html#sklearn.exceptions.DataDimensionalityWarning" title="sklearn.exceptions.DataDimensionalityWarning"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataDimensionalityWarning</span></code></a></p></td>
<td><p>Custom warning to notify potential issues with data dimensionality.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="../modules/generated/sklearn.exceptions.EfficiencyWarning.html#sklearn.exceptions.EfficiencyWarning" title="sklearn.exceptions.EfficiencyWarning"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EfficiencyWarning</span></code></a></p></td>
<td><p>Warning used to notify the user of inefficient computation.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.exceptions.FitFailedWarning.html#sklearn.exceptions.FitFailedWarning" title="sklearn.exceptions.FitFailedWarning"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FitFailedWarning</span></code></a></p></td>
<td><p>Warning class used if there is an error while fitting the estimator.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="../modules/generated/sklearn.exceptions.InconsistentVersionWarning.html#sklearn.exceptions.InconsistentVersionWarning" title="sklearn.exceptions.InconsistentVersionWarning"><code class="xref py py-obj docutils literal notranslate"><span class="pre">InconsistentVersionWarning</span></code></a></p></td>
<td><p>Warning raised when an estimator is unpickled with a inconsistent version.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.exceptions.NotFittedError.html#sklearn.exceptions.NotFittedError" title="sklearn.exceptions.NotFittedError"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NotFittedError</span></code></a></p></td>
<td><p>Exception class to raise if estimator is used before fitting.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="../modules/generated/sklearn.exceptions.UndefinedMetricWarning.html#sklearn.exceptions.UndefinedMetricWarning" title="sklearn.exceptions.UndefinedMetricWarning"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UndefinedMetricWarning</span></code></a></p></td>
<td><p>Warning used when the metric is invalid</p></td>
</tr>
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