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<!DOCTYPE html>
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<head>
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<meta charset="utf-8" />
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<title>MRCpy.phi.random_fourier_phi &mdash; MRCpy 0.1.0 documentation</title>
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@@ -93,8 +93,10 @@ <h1>Source code for MRCpy.phi.random_fourier_phi</h1><div class="highlight"><pre
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<span class="kn">from</span> <span class="nn">MRCpy.phi</span> <span class="kn">import</span> <span class="n">BasePhi</span>
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<div class="viewcode-block" id="RandomFourierPhi"><a class="viewcode-back" href="../../../generated/MRCpy.phi.RandomFourierPhi.html#MRCpy.phi.RandomFourierPhi">[docs]</a><span class="k">class</span> <span class="nc">RandomFourierPhi</span><span class="p">(</span><span class="n">BasePhi</span><span class="p">):</span>
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<span class="sd">&#39;&#39;&#39;</span>
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<div class="viewcode-block" id="RandomFourierPhi">
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<a class="viewcode-back" href="../../../generated/MRCpy.phi.RandomFourierPhi.html#MRCpy.phi.RandomFourierPhi">[docs]</a>
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<span class="k">class</span> <span class="nc">RandomFourierPhi</span><span class="p">(</span><span class="n">BasePhi</span><span class="p">):</span>
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<span class="w"> </span><span class="sd">&#39;&#39;&#39;</span>
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<span class="sd"> Fourier features</span>
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<span class="sd"> Features obtained by approximating the rbf kernel by</span>
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<span class="sd"> &#39;&#39;&#39;</span>
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<div class="viewcode-block" id="RandomFourierPhi.__init__"><a class="viewcode-back" href="../../../generated/MRCpy.phi.RandomFourierPhi.html#MRCpy.phi.RandomFourierPhi.__init__">[docs]</a> <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_classes</span><span class="p">,</span> <span class="n">fit_intercept</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">sigma</span><span class="o">=</span><span class="s1">&#39;scale&#39;</span><span class="p">,</span>
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<div class="viewcode-block" id="RandomFourierPhi.__init__">
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<a class="viewcode-back" href="../../../generated/MRCpy.phi.RandomFourierPhi.html#MRCpy.phi.RandomFourierPhi.__init__">[docs]</a>
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<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_classes</span><span class="p">,</span> <span class="n">fit_intercept</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">sigma</span><span class="o">=</span><span class="s1">&#39;scale&#39;</span><span class="p">,</span>
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<span class="c1"># Call the base class init function.</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">random_state</span> <span class="o">=</span> <span class="n">random_state</span></div>
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<div class="viewcode-block" id="RandomFourierPhi.fit"><a class="viewcode-back" href="../../../generated/MRCpy.phi.RandomFourierPhi.html#MRCpy.phi.RandomFourierPhi.fit">[docs]</a> <span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">,</span> <span class="n">Y</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
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<a class="viewcode-back" href="../../../generated/MRCpy.phi.RandomFourierPhi.html#MRCpy.phi.RandomFourierPhi.fit">[docs]</a>
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<span class="k">def</span> <span class="nf">fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">,</span> <span class="n">Y</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
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<span class="k">return</span> <span class="bp">self</span></div>
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<div class="viewcode-block" id="RandomFourierPhi.transform"><a class="viewcode-back" href="../../../generated/MRCpy.phi.RandomFourierPhi.html#MRCpy.phi.RandomFourierPhi.transform">[docs]</a> <span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">):</span>
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<div class="viewcode-block" id="RandomFourierPhi.transform">
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<a class="viewcode-back" href="../../../generated/MRCpy.phi.RandomFourierPhi.html#MRCpy.phi.RandomFourierPhi.transform">[docs]</a>
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<span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">):</span>
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<span class="w"> </span><span class="sd">&#39;&#39;&#39;</span>
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<span class="sd"> Compute the random Fourier features ((:math:`z(x)`)).</span>
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<span class="sd"> Parameters</span>
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<span class="k">return</span> <span class="n">X_feat</span></div>
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<div class="viewcode-block" id="RandomFourierPhi.rff_sigma"><a class="viewcode-back" href="../../../generated/MRCpy.phi.RandomFourierPhi.html#MRCpy.phi.RandomFourierPhi.rff_sigma">[docs]</a> <span class="k">def</span> <span class="nf">rff_sigma</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">):</span>
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<a class="viewcode-back" href="../../../generated/MRCpy.phi.RandomFourierPhi.html#MRCpy.phi.RandomFourierPhi.rff_sigma">[docs]</a>
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<span class="k">def</span> <span class="nf">rff_sigma</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">X</span><span class="p">):</span>
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<span class="w"> </span><span class="sd">&#39;&#39;&#39;</span>
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<span class="sd"> Computes the scaling parameter for the fourier features</span>
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<span class="sd"> using the heuristic given in the paper &quot;Compact Nonlinear Maps</span>
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<span class="sd"> and Circulant Extensions&quot; :ref:`[1] &lt;refpf&gt;`.</span>
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<span class="c1"># Compute the average distance to the 50th nearest neighbour</span>
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<span class="n">sigma</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">average</span><span class="p">(</span><span class="n">distances</span><span class="p">[:,</span> <span class="n">neighbour_ind</span><span class="p">])</span>
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<span class="k">return</span> <span class="n">sigma</span></div></div>
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<span class="k">return</span> <span class="n">sigma</span></div>
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</div>
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</pre></div>
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