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replace Mac OSX -> macOS
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dev/install.html

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<li><a class="reference internal" href="#debian-ubuntu">Debian/Ubuntu</a></li>
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<li><a class="reference internal" href="#fedora">Fedora</a></li>
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<li><a class="reference internal" href="#netbsd">NetBSD</a></li>
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<li><a class="reference internal" href="#macports-for-mac-osx">MacPorts for Mac OSX</a></li>
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<li><a class="reference internal" href="#macports-for-mac-">MacPorts for macOS</a></li>
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<li><a class="reference internal" href="#anaconda-and-enthought-deployment-manager-for-all-supported-platforms">Anaconda and Enthought Deployment Manager for all supported platforms</a></li>
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<li><a class="reference internal" href="#intel-extension-for-scikit-learn">Intel Extension for Scikit-learn</a></li>
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<li><a class="reference internal" href="#winpython-for-windows">WinPython for Windows</a></li>
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</div></blockquote>
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</section>
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<section id="macports-for-mac-osx">
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<h3>MacPorts for Mac OSX<a class="headerlink" href="#macports-for-mac-osx" title="Link to this heading"></a></h3>
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<h3>MacPorts for macOS<a class="headerlink" href="#macports-for-mac-osx" title="Link to this heading"></a></h3>
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<p>The MacPorts package is named <code class="docutils literal notranslate"><span class="pre">py&lt;XY&gt;-scikits-learn</span></code>,
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where <code class="docutils literal notranslate"><span class="pre">XY</span></code> denotes the Python version.
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It can be installed by typing the following
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<p><a class="reference external" href="https://www.anaconda.com/download">Anaconda</a> and
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<a class="reference external" href="https://assets.enthought.com/downloads/">Enthought Deployment Manager</a>
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both ship with scikit-learn in addition to a large set of scientific
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python library for Windows, Mac OSX and Linux.</p>
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python library for Windows, macOS and Linux.</p>
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<p>Anaconda offers scikit-learn as part of its free distribution.</p>
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</section>
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<section id="intel-extension-for-scikit-learn">
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<script src="https://scikit-learn.org/versionwarning.js"></script>
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</body>
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</html>
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</html>

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