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scikit-learn 0.18-5
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.. raw:: html

  <div class="container-index">

Documentation of scikit-learn 0.18
==================================

.. raw:: html

        <!-- Block section -->
          <!-- row -->
            <div class="row-fluid">
                <div class="span4 box">
                    <h2><a href="tutorial/basic/tutorial.html">Quick Start</a></h2>
                    <blockquote>A very short introduction into machine learning
                    problems and how to solve them using scikit-learn.
                    Introduced basic concepts and conventions.
                    </blockquote>
                </div>
                <div class="span4 box">
                    <h2><a href="user_guide.html">User Guide</a></h2>
                    <blockquote>The main documentation. This contains an
                        in-depth description of all algorithms and how
                        to apply them.
                    </blockquote>
                </div>
                <div class="span4 box">
                <!-- doc versions -->
                    <h2>Other Versions</h2>
                    <ul>
                        <li>scikit-learn 0.18 (stable)</li>
                        <li><a href="http://scikit-learn.org/dev/documentation.html">scikit-learn 0.19 (development)</a></li>
                        <li><a href="http://scikit-learn.org/0.17/documentation.html">scikit-learn 0.17</a></li>
                        <li><a href="http://scikit-learn.org/0.16/documentation.html">scikit-learn 0.16</a></li>
                        <li><a href="http://scikit-learn.org/0.15/documentation.html">scikit-learn 0.15</a></li>
                    </ul>

                </div>
                        <!-- row -->
            </div>

          <!-- row -->
            <div class="row-fluid">
                <div class="span4 box">
                    <h2><a href="tutorial/index.html">Tutorials</a></h2>
                    <blockquote>Useful tutorials for developing a feel
                    for some of scikit-learn's applications in the
                    machine learning field.
                    </blockquote>
                </div>
                <div class="span4 box">
                    <h2><a href="modules/classes.html">API</a></h2>
                            <blockquote>The exact API of all functions and classes, as given by the docstrings.
                            The API documents expected types and allowed features for all functions,
                            and all parameters available for the algorithms.
                            </blockquote>
                </div>

                <div class="span4 box">
                    <h2><a href="presentations.html">Additional Resources</a></h2>
                                <blockquote>Talks given, slide-sets and other information relevant to scikit-learn.
                                </blockquote>
                </div>
            </div>
          <!-- row -->
            <div class="row-fluid">
                <div class="span4 box">
                    <h2><a href="developers/index.html">Contributing</a></h2>
                            <blockquote>Information on how to contribute. This also
                            contains useful information for advanced users, for example
                            how to build their own estimators.
                            </blockquote>
                </div>

                <div class="span4 box">
                    <h2><a href="tutorial/machine_learning_map/index.html">Flow Chart</a></h2>
                    <blockquote>A graphical overview of basic areas of machine
                        learning, and guidance which kind of algorithms
                        to use in a given situation.
                    </blockquote>
                </div>
                <div class="span4 box">
                    <h2><a href="faq.html">FAQ</a></h2>
                    <blockquote>Frequently asked questions about the project and contributing.
                    </blockquote>
                </div>
            </div>

            <div class="row-fluid">
                <div class="span4 box">
                    <h2><a href="related_projects.html">Related packages</a></h2>
                    <blockquote>Other machine learning packages for Python and
                    related projects. Also algorithms that are slightly out of
                    scope or not well established enough for scikit-learn.
                    </blockquote>
                </div>

            </div>