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

.. only:: html

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

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

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

.. _sphx_glr_auto_examples_plot_plot_human_activity.py:


Human Activity Recognition Visualization
==========================================

.. GENERATED FROM PYTHON SOURCE LINES 5-14



.. rst-class:: sphx-glr-horizontal


    *

      .. image:: /auto_examples/plot/images/sphx_glr_plot_human_activity_001.png
          :alt: Target distribution
          :class: sphx-glr-multi-img

    *

      .. image:: /auto_examples/plot/images/sphx_glr_plot_human_activity_002.png
          :alt: F=5.08E+04, F=4.63E+04, F=4.44E+04, F=4.12E+04, F=4.04E+04, F=3.75E+04, F=3.26E+04, F=3.25E+04, F=3.22E+04, F=3.13E+04
          :class: sphx-glr-multi-img

    *

      .. image:: /auto_examples/plot/images/sphx_glr_plot_human_activity_003.png
          :alt: Top feature interactions, 0.692, 0.684, 0.683, 0.682
          :class: sphx-glr-multi-img

    *

      .. image:: /auto_examples/plot/images/sphx_glr_plot_human_activity_004.png
          :alt: Discriminating PCA directions, 0.649, 0.629, 0.566, Scree plot (PCA explained variance)
          :class: sphx-glr-multi-img

    *

      .. image:: /auto_examples/plot/images/sphx_glr_plot_human_activity_005.png
          :alt: Discriminating LDA directions, 0.862, 0.834, 0.802, 0.787
          :class: sphx-glr-multi-img


.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    Target looks like classification
    Showing only top 10 of 561 continuous features
    Linear Discriminant Analysis training set score: 0.984






|

.. code-block:: default

    # sphinx_gallery_thumbnail_number = 3
    import matplotlib.pyplot as plt
    from sklearn.datasets import fetch_openml
    from dabl import plot

    X, y = fetch_openml('har', as_frame=True, return_X_y=True)

    plot(X, y)
    plt.show()


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

   **Total running time of the script:** ( 0 minutes  49.883 seconds)


.. _sphx_glr_download_auto_examples_plot_plot_human_activity.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_human_activity.py <plot_human_activity.py>`



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

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


.. only:: html

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

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