98 lines
4.4 KiB
ReStructuredText
98 lines
4.4 KiB
ReStructuredText
.. raw:: html
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<div class="container-index">
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Documentation of scikit-learn 0.19.dev0
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=======================================
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.. raw:: html
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<!-- Block section -->
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<!-- row -->
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<div class="row-fluid">
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<div class="span4 box">
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<h2><a href="tutorial/basic/tutorial.html">Quick Start</a></h2>
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<blockquote>A very short introduction into machine learning
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problems and how to solve them using scikit-learn.
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Introduced basic concepts and conventions.
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</blockquote>
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</div>
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<div class="span4 box">
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<h2><a href="user_guide.html">User Guide</a></h2>
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<blockquote>The main documentation. This contains an
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in-depth description of all algorithms and how
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to apply them.
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</blockquote>
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</div>
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<div class="span4 box">
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<!-- doc versions -->
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<h2>Other Versions</h2>
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<ul>
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<li>scikit-learn 0.19 (development)</li>
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<li><a href="http://scikit-learn.org/stable/documentation.html">scikit-learn 0.18 (stable)</a></li>
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<li><a href="http://scikit-learn.org/0.17/documentation.html">scikit-learn 0.17</a></li>
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<li><a href="http://scikit-learn.org/0.16/documentation.html">scikit-learn 0.16</a></li>
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</ul>
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</div>
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<!-- row -->
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</div>
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<!-- row -->
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<div class="row-fluid">
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<div class="span4 box">
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<h2><a href="tutorial/index.html">Tutorials</a></h2>
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<blockquote>Useful tutorials for developing a feel
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for some of scikit-learn's applications in the
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machine learning field.
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</blockquote>
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</div>
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<div class="span4 box">
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<h2><a href="modules/classes.html">API</a></h2>
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<blockquote>The exact API of all functions and classes, as given by the docstrings.
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The API documents expected types and allowed features for all functions,
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and all parameters available for the algorithms.
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</blockquote>
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</div>
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<div class="span4 box">
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<h2><a href="presentations.html">Additional Resources</a></h2>
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<blockquote>Talks given, slide-sets and other information relevant to scikit-learn.
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</blockquote>
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</div>
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</div>
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<!-- row -->
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<div class="row-fluid">
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<div class="span4 box">
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<h2><a href="developers/index.html">Development</a></h2>
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<blockquote>Information on how to contribute. This also
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contains useful information for advanced users, for example
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how to build their own estimators.
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</blockquote>
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</div>
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<div class="span4 box">
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<h2><a href="tutorial/machine_learning_map/index.html">Flow Chart</a></h2>
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<blockquote>A graphical overview of basic areas of machine
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learning, and guidance which kind of algorithms
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to use in a given situation.
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</blockquote>
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</div>
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<div class="span4 box">
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<h2><a href="faq.html">FAQ</a></h2>
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<blockquote>Frequently asked questions about the project and contributing.
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</blockquote>
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</div>
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</div>
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<div class="row-fluid">
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<div class="span4 box">
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<h2><a href="related_projects.html">Related packages</a></h2>
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<blockquote>Other machine learning packages for Python and
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related projects. Also algorithms that are slightly out of
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scope or not well established enough for scikit-learn.
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</blockquote>
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</div>
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</div>
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