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  <section id="module-sklearn.kernel_approximation">
<span id="sklearn-kernel-approximation"></span><span id="kernel-approximation-ref"></span><h1>sklearn.kernel_approximation<a class="headerlink" href="#module-sklearn.kernel_approximation" title="Link to this heading">#</a></h1>
<p>Approximate kernel feature maps based on Fourier transforms and count sketches.</p>
<p><strong>User guide.</strong> See the <a class="reference internal" href="../modules/kernel_approximation.html#kernel-approximation"><span class="std std-ref">Kernel Approximation</span></a> section for further details.</p>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
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<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.kernel_approximation.AdditiveChi2Sampler.html#sklearn.kernel_approximation.AdditiveChi2Sampler" title="sklearn.kernel_approximation.AdditiveChi2Sampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdditiveChi2Sampler</span></code></a></p></td>
<td><p>Approximate feature map for additive chi2 kernel.</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="../modules/generated/sklearn.kernel_approximation.Nystroem.html#sklearn.kernel_approximation.Nystroem" title="sklearn.kernel_approximation.Nystroem"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Nystroem</span></code></a></p></td>
<td><p>Approximate a kernel map using a subset of the training data.</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html#sklearn.kernel_approximation.PolynomialCountSketch" title="sklearn.kernel_approximation.PolynomialCountSketch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PolynomialCountSketch</span></code></a></p></td>
<td><p>Polynomial kernel approximation via Tensor Sketch.</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="../modules/generated/sklearn.kernel_approximation.RBFSampler.html#sklearn.kernel_approximation.RBFSampler" title="sklearn.kernel_approximation.RBFSampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RBFSampler</span></code></a></p></td>
<td><p>Approximate a RBF kernel feature map using random Fourier features.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.kernel_approximation.SkewedChi2Sampler.html#sklearn.kernel_approximation.SkewedChi2Sampler" title="sklearn.kernel_approximation.SkewedChi2Sampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SkewedChi2Sampler</span></code></a></p></td>
<td><p>Approximate feature map for &quot;skewed chi-squared&quot; kernel.</p></td>
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