.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot_classifier.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        Click :ref:`here <sphx_glr_download_auto_examples_plot_classifier.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_classifier.py:


====================
Classifier example
====================

Rank similarity classifier is best at large datasets with multiple features
but can still be used with few features if they have a fixed rank order.

.. GENERATED FROM PYTHON SOURCE LINES 10-43



.. image-sg:: /auto_examples/images/sphx_glr_plot_classifier_001.png
   :alt: plot classifier
   :srcset: /auto_examples/images/sphx_glr_plot_classifier_001.png
   :class: sphx-glr-single-img





.. code-block:: default

    import numpy as np
    from matplotlib import pyplot as plt
    from ranksim import RankSimilarityClassifier

    X = [[0, 1], [1, 0]]
    y = [0, 1]
    clf = RankSimilarityClassifier()
    clf.fit(X, y)

    rng = np.random.RandomState(13)
    X_test = rng.rand(500, 2)
    y_pred = clf.predict(X_test)

    X_0 = X_test[y_pred == 0]
    X_1 = X_test[y_pred == 1]


    p0 = plt.scatter(0, 1, c='red', s=100)
    p1 = plt.scatter(1, 0, c='blue', s=100)

    ax0 = plt.scatter(X_0[:, 0], X_0[:, 1], c='crimson', s=50)
    ax1 = plt.scatter(X_1[:, 0], X_1[:, 1], c='deepskyblue', s=50)

    leg = plt.legend([p0, p1, ax0, ax1],
                     ['Point 0', 'Point 1', 'Class 0', 'Class 1'],
                     loc='upper left', fancybox=True, scatterpoints=1)
    leg.get_frame().set_alpha(0.5)

    plt.xlabel('Feature 1')
    plt.ylabel('Feature 2')
    plt.xlim([-.5, 1.5])

    plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.130 seconds)


.. _sphx_glr_download_auto_examples_plot_classifier.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download sphx-glr-download-python

     :download:`Download Python source code: plot_classifier.py <plot_classifier.py>`



  .. container:: sphx-glr-download sphx-glr-download-jupyter

     :download:`Download Jupyter notebook: plot_classifier.ipynb <plot_classifier.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_