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

.. only:: html

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

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

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

.. _sphx_glr_auto_examples_models_multivariate_leaf.py:


=================
Multivariate Leaf
=================

We can learn a SPN with multivariate leaf. This example demonstrates learning
an SPN with Chow Liu tree (CLTs) as multivariate leaves.

.. GENERATED FROM PYTHON SOURCE LINES 9-49

.. code-block:: default


    import numpy as np

    np.random.seed(123)

    from spn.structure.leaves.cltree.CLTree import create_cltree_leaf
    from spn.structure.Base import Context
    from spn.structure.leaves.parametric.Parametric import Bernoulli
    from spn.algorithms.LearningWrappers import learn_parametric
    from spn.algorithms.Inference import log_likelihood

    train_data = np.random.binomial(1, [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.1], size=(100, 10))


    ds_context = Context(
        parametric_types=[
            Bernoulli,
            Bernoulli,
            Bernoulli,
            Bernoulli,
            Bernoulli,
            Bernoulli,
            Bernoulli,
            Bernoulli,
            Bernoulli,
            Bernoulli,
        ]
    ).add_domains(train_data)

    spn = learn_parametric(
        train_data,
        ds_context,
        min_instances_slice=20,
        min_features_slice=1,
        multivariate_leaf=True,
        leaves=create_cltree_leaf,
    )

    ll = log_likelihood(spn, train_data)
    print(np.mean(ll))


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

   **Total running time of the script:** ( 0 minutes  0.000 seconds)


.. _sphx_glr_download_auto_examples_models_multivariate_leaf.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: multivariate_leaf.py <multivariate_leaf.py>`



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

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


.. only:: html

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

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