:orphan:

Regression
==========



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

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    <div class="sphx-glr-thumbcontainer" tooltip="This assumes that X and y contain the same number of features. If use_orthogonal_projector=False, the smaller of X and y is padded with null features, i.e. columns of zeros. However, when use_orthogonal_projector=True, we begin with the weights W determined by the linear regression problem">

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  .. image:: /examples/regression/images/thumb/sphx_glr_OrthogonalRegressionNonAnalytic_thumb.png
    :alt:

  :ref:`sphx_glr_examples_regression_OrthogonalRegressionNonAnalytic.py`

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      <div class="sphx-glr-thumbnail-title">Regression with orthogonal projector/matrices</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="Ridge2FoldCV for data with low effective rank">

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  .. image:: /examples/regression/images/thumb/sphx_glr_Ridge2FoldCVRegularization_thumb.png
    :alt:

  :ref:`sphx_glr_examples_regression_Ridge2FoldCVRegularization.py`

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      <div class="sphx-glr-thumbnail-title">Ridge2FoldCV for data with low effective rank</div>
    </div>


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    </div>


.. toctree::
   :hidden:

   /examples/regression/OrthogonalRegressionNonAnalytic
   /examples/regression/Ridge2FoldCVRegularization


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

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

      :download:`Download all examples in Python source code: regression_python.zip </examples/regression/regression_python.zip>`

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

      :download:`Download all examples in Jupyter notebooks: regression_jupyter.zip </examples/regression/regression_jupyter.zip>`


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

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