:orphan:

.. _general_examples:

Examples
================

These examples use the sparse group lasso and synthetic data to demonstrate
how groupyr can be used to solve penalized regression problems with grouped
covariates. Because the data is synthetically generated, we know the "ground
truth" and can compare to the estimated important features chosen by the
groupyr models.



.. raw:: html

    <div class="sphx-glr-thumbnails">


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    <div class="sphx-glr-thumbcontainer" tooltip="Estimates a Sparse Group Lasso logistic regression model on a simulated sparse signal. The esti...">

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  .. image:: /auto_examples/images/thumb/sphx_glr_plot_classifier_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_classifier.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Logistic Sparse Group Lasso for grouped sparse signals</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="Computes SGL path using the function sgl_path along the regularization parameter on a synthetic...">

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  .. image:: /auto_examples/images/thumb/sphx_glr_plot_sgl_path_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_sgl_path.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Visualizing the SGL regularization path</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example performs a rudimentary performance comparison of the groupyr and group-lasso packa...">

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  .. image:: /auto_examples/images/thumb/sphx_glr_compare_group_lasso_performance_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_compare_group_lasso_performance.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Rudimentary performance comparison of groupyr and group-lasso</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Estimates a Sparse Group Lasso model on a simulated sparse signal with high group-level sparsit...">

.. only:: html

  .. image:: /auto_examples/images/thumb/sphx_glr_plot_regressor_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_regressor.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Sparse Group Lasso for grouped sparse signals</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Estimates a Sparse Group Lasso logistic regression model on a simulated sparse signal with high...">

.. only:: html

  .. image:: /auto_examples/images/thumb/sphx_glr_plot_balanced_classifier_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_balanced_classifier.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Specifying a scoring criterion for model selection</div>
    </div>


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    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_classifier
   /auto_examples/plot_sgl_path
   /auto_examples/compare_group_lasso_performance
   /auto_examples/plot_regressor
   /auto_examples/plot_balanced_classifier


.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-gallery

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

      :download:`Download all examples in Python source code: auto_examples_python.zip </auto_examples/auto_examples_python.zip>`

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

      :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip </auto_examples/auto_examples_jupyter.zip>`


.. only:: html

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

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