..
    We are putting the title as a raw HTML so that it doesn't appear in
    the contents

.. raw:: html

    <h1>scikit-learn: machine learning in Python</h1>
    <style type="text/css">
    p {
        margin: 7px 0 7px 0 ;
    }
    span.linkdescr a {
        color:  #3E4349 ;
    }
    span.linkdescr {
        line-height: 1.3em;
    }
    div.topic p {
        margin-top: .2em;
        line-height: 1.3em;
    }
    div.topic {
        background-color: #FFF0E0;
        border-color: #FF9C34;
    }
    div.warning p {
        margin-top: .0em;
    }
    </style>

..
   Here we are building a banner: a javascript selects randomly 4 images in
   the list

.. only:: html

    .. |banner1| image:: auto_examples/svm/images/plot_oneclass_1.png
       :height: 139
       :target: auto_examples/svm/plot_oneclass.html

    .. |banner2| image:: auto_examples/cluster/images/plot_ward_structured_vs_unstructured_2.png
       :height: 139
       :target: auto_examples/cluster/plot_ward_structured_vs_unstructured.html

    .. |banner3| image:: auto_examples/gaussian_process/images/plot_gp_regression_1.png
       :height: 139
       :target: auto_examples/gaussian_process/plot_gp_regression.html

    .. |banner4| image:: auto_examples/cluster/images/plot_lena_ward_segmentation_1.png
       :height: 139
       :target: auto_examples/cluster/plot_lena_ward_segmentation.html

    .. |banner5| image:: auto_examples/svm/images/plot_svm_nonlinear_1.png
       :height: 139
       :target: auto_examples/svm/plot_svm_nonlinear.html

    .. |banner6| image:: auto_examples/applications/images/plot_species_distribution_modeling_1.png
       :height: 139
       :target: auto_examples/applications/plot_species_distribution_modeling.html

    .. |banner7| image:: auto_examples/gaussian_process/images/plot_gp_probabilistic_classification_after_regression_1.png
       :height: 139
       :target: auto_examples/gaussian_process/plot_gp_probabilistic_classification_after_regression.html

    .. |banner8| image:: auto_examples/ensemble/images/plot_forest_importances_faces_1.png
       :height: 139
       :target: auto_examples/ensemble/plot_forest_importances_faces.html

    .. |banner9| image:: auto_examples/svm/images/plot_weighted_samples_1.png
       :height: 139
       :target: auto_examples/svm/plot_weighted_samples.html

    .. |banner10| image:: auto_examples/linear_model/images/plot_sgd_weighted_samples_1.png
       :height: 139
       :target: auto_examples/linear_model/plot_sgd_weighted_samples.html

    .. |banner11| image:: auto_examples/cluster/images/plot_kmeans_digits_1.png
       :height: 139
       :target: auto_examples/cluster/plot_kmeans_digits.html

    .. |banner12| image:: auto_examples/decomposition/images/plot_faces_decomposition_2.png
       :height: 139
       :target: auto_examples/decomposition/plot_faces_decomposition.html

    .. |banner13| image:: auto_examples/decomposition/images/plot_faces_decomposition_3.png
       :height: 139
       :target: auto_examples/decomposition/plot_faces_decomposition.html

    .. |banner14| image:: auto_examples/images/plot_lda_qda_1.png
       :height: 139
       :target: auto_examples/plot_lda_qda.html

    .. |banner15| image:: auto_examples/cluster/images/plot_cluster_comparison_1.png
       :height: 139
       :target: auto_examples/cluster/plot_cluster_comparison.html

    .. |center-div| raw:: html

        <div style="text-align: center; margin: -7px 0 -10px 0;" id="banner">

    .. |end-div| raw:: html

        </div>

        <SCRIPT>
        // Function to select 4 imgs in random order from a div
        function shuffle(e) {       // pass the divs to the function
          var replace = $('<div>');
          var size = 4;
          var num_choices = e.size();

          while (size >= 1) {
            var rand = Math.floor(Math.random() * num_choices);
            var temp = e.get(rand);      // grab a random div from our set
            replace.append(temp);        // add the selected div to our new set
            e = e.not(temp); // remove our selected div from the main set
            size--;
            num_choices--;
          }
          $('#banner').html(replace.html() ); // update our container div
                                              // with the new, randomized divs
        }
        shuffle ($('#banner a.external'));

	function preload_images() {
	    var img = new Image();
	    img.src="_static/plusBox.png";
	    img.src="_static/minBox.png";
	    img.src="_static/plusBoxHighlight.png";
	    img.src="_static/minBoxHighlight.png";
	    img.src="_static/noneBox.png";
	}
	preload_images();

	//Function to make the index toctree collapsible
	$(function () {
            $('.toctree-l2')
                .click(function(event){
                    if (event.target.tagName.toLowerCase() != "a") {
		        if ($(this).children('ul').length > 0) {
                            $(this).css('list-style-image',
                            (!$(this).children('ul').is(':hidden')) ? 'url(_static/plusBoxHighlight.png)' : 'url(_static/minBoxHighlight.png)');
                            $(this).children('ul').toggle();
                        }
                        return true; //Makes links clickable
                    }
		})
		.mousedown(function(event){ return false; }) //Firefox highlighting fix
                .css({cursor:'pointer', 'list-style-image':'url(_static/plusBox.png)'})
                .children('ul').hide();
            $('ul li ul li:not(:has(ul))').css({cursor:'default', 'list-style-image':'url(_static/noneBox.png)'});
	    $('.toctree-l3').css({cursor:'default', 'list-style-image':'url(_static/noneBox.png)'});
            var sidebarbutton = $('#sidebarbutton');
            sidebarbutton.css({
	        'display': 'none'
            });

	    $('.toctree-l2').hover(
	        function () {
		    if ($(this).children('ul').length > 0) {
		        $(this).css('background-color', '#D0D0D0').children('ul').css('background-color', '#F0F0F0');
		        $(this).css('list-style-image',
                            (!$(this).children('ul').is(':hidden')) ? 'url(_static/minBoxHighlight.png)' : 'url(_static/plusBoxHighlight.png)');
		    }
		    else {
		        $(this).css('background-color', '#F9F9F9');
		    }
                },
                function () {
                    $(this).css('background-color', 'white').children('ul').css('background-color', 'white');
		    if ($(this).children('ul').length > 0) {
		        $(this).css('list-style-image',
                            (!$(this).children('ul').is(':hidden')) ? 'url(_static/minBox.png)' : 'url(_static/plusBox.png)');
		    }
                }
            );
	});

        </SCRIPT>

    |center-div| |banner1| |banner2| |banner3| |banner4| |banner5| |banner6| |banner7| |banner8| |banner9| |banner10| |banner11| |banner12| |banner13| |banner14| |end-div|


.. topic:: Easy-to-use and general-purpose machine learning in Python

    Scikit-learn integrates **machine learning** algorithms in the
    tightly-knit scientific **Python** world, building upon `numpy
    <http://numpy.scipy.org/>`_, `scipy <http://scipy.org>`_, and
    `matplotlib <http://matplotlib.org>`_. As a machine-learning module,
    it provides versatile tools for data mining and analysis in any field
    of science and engineering. It strives to be **simple and
    efficient**, accessible to everybody, and reusable in various
    contexts.


.. raw:: html

  <table class="contentstable" style="width: 100% ; margin-top: -8px">
    <tr valign="top">
    </td><td align="right" width="2%">
    <td width="28%">
      <p class="biglink"><a class="biglink" href="supervised_learning.html">
                Supervised learning</a><br/>
         <span class="linkdescr">
                <a href="modules/svm.html">Support vector machines</a>,
                <a href="modules/linear_model.html">linear models</a>,
                <a href="modules/naive_bayes.html">naive Bayes</a>,
                <a href="modules/gaussian_process.html">Gaussian processes</a>...
         </span></p>
    </td><td align="right" width="3%">
    </td><td align="center" width="32%">
      <p class="biglink"><a class="biglink" href="unsupervised_learning.html">
        Unsupervised learning</a><br/>
         <span class="linkdescr">
                <a href="modules/clustering.html">Clustering</a>,
                <a href="modules/mixture.html">Gaussian mixture models</a>,
                <a href="modules/manifold.html">manifold learning</a>,
                <a href="modules/decomposition.html">matrix factorization</a>,
                <a href="modules/covariance.html">covariance</a>...
         </span></p>
    </td><td align="right" width="3%">
    </td><td align="right" width="30%">
      <p class="biglink"><a class="biglink" href="index.html#user-guide">
        And much more</a><br/>
         <span class="linkdescr">
                <a href="model_selection.html">Model selection</a>,
                <a href="datasets/index.html">datasets</a>,
                <a href="modules/feature_extraction.html">feature extraction...</a>
                <strong>See below</strong>.</span></p>
    </td></tr>
  </table>


**License:** Open source, commercially usable: **BSD license** (3 clause)

.. raw:: html

   <div class="admonition warning" style="margin: 3px 0; padding: 3px 7px">

Documentation for scikit-learn **version** |release|. For other versions and
printable format, see :ref:`documentation_resources`.

.. raw:: html

    </div>

.. include:: includes/big_toc_css.rst

User Guide
==========

.. toctree::
   :numbered:

   user_guide.rst

Example Gallery
===============

.. toctree::
   :maxdepth: 2

   auto_examples/index


Development
===========
.. toctree::
   :numbered:

   developers/index
   developers/performance
   developers/utilities
   developers/debugging
   developers/maintainer
   about

.. toctree::
   :hidden:

   support
   whats_new
   presentations