.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "_examples\explainerdashboard\plot_main01.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download__examples_explainerdashboard_plot_main01.py>`
        to download the full example code

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

.. _sphx_glr__examples_explainerdashboard_plot_main01.py:


01. Explainer Dash
====================

This example runs an app which an interactive
user interface to explore the importance of
the features using SHAP values.

.. note:: https://github.com/oegedijk/explainerdashboard

.. note:: See https://titanicexplainer.herokuapp.com/

.. note:: Requires plotly<6

.. GENERATED FROM PYTHON SOURCE LINES 16-75




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

 Out:

 .. code-block:: none

    The version of 'plotly' is: 6.3.1






|

.. code-block:: default
   :lineno-start: 16

    # Libraries
    import sys

    try:
        __file__
        TERMINAL = True
    except:
        TERMINAL = False



    def check_version(name):
        """"""
        if sys.version_info >= (3, 8):
            # Since python 3.8
            from importlib.metadata import version, PackageNotFoundError
        else:
            # For older Python versions, you need to install the backport
            from importlib_metadata import version, PackageNotFoundError

        try:
            pkg_version = version(name)
            print(f"The version of '{name}' is: {pkg_version}")
            return pkg_version
        except PackageNotFoundError:
            print("One of the packages is not installed.")
            return None




    if __name__ == '__main__':

        if check_version('plotly') < '6':

            # Libraries
            from sklearn.ensemble import RandomForestClassifier
            from explainerdashboard import ClassifierExplainer
            from explainerdashboard import ExplainerDashboard
            from explainerdashboard.datasets import titanic_survive
            from explainerdashboard.datasets import titanic_names
            from explainerdashboard.datasets import feature_descriptions

            # Get data
            X_train, y_train, X_test, y_test = titanic_survive()

            # Create and fit model
            model = RandomForestClassifier(n_estimators=50, max_depth=10) \
                .fit(X_train, y_train)

            # Configure explainer
            explainer = ClassifierExplainer(model, X_test, y_test,
                   cats=['Sex', 'Deck', 'Embarked'],
                   descriptions=feature_descriptions,
                   labels=['Not survived', 'Survived'])

            # Run
            if TERMINAL:
                ExplainerDashboard(explainer).flask_server()


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

   **Total running time of the script:** ( 0 minutes  0.005 seconds)


.. _sphx_glr_download__examples_explainerdashboard_plot_main01.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_main01.py <plot_main01.py>`



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

     :download:`Download Jupyter notebook: plot_main01.ipynb <plot_main01.ipynb>`


.. only:: html

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

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