.. _sphx_glr_auto_examples_tabular:

Tabular Models
==============

Examples for explaining tabular machine-learning models with ``shapiq``,
including scikit-learn, XGBoost, and TabPFN models.



.. raw:: html

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

.. thumbnail-parent-div-open

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to use ConditionalImputer for conditional (observational) imputation when computing Shapley interactions. Conditional imputation respects feature dependencies, unlike marginal (interventional) imputation.">

.. only:: html

  .. image:: /auto_examples/tabular/images/thumb/sphx_glr_plot_conditional_imputer_thumb.png
    :alt:

  :doc:`/auto_examples/tabular/plot_conditional_imputer`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Conditional Data Imputation</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to compute second-order Shapley Interaction Index (SII) values for a scikit-learn Random Forest on the California housing dataset.">

.. only:: html

  .. image:: /auto_examples/tabular/images/thumb/sphx_glr_plot_shapiq_scikit_learn_thumb.png
    :alt:

  :doc:`/auto_examples/tabular/plot_shapiq_scikit_learn`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">SHAP-IQ with scikit-learn</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="TabPFN is a foundation model for tabular data that uses in-context learning -- fitting is just storing the training data, and inference contextualises new inputs against that context.">

.. only:: html

  .. image:: /auto_examples/tabular/images/thumb/sphx_glr_plot_explaining_tabpfn_thumb.png
    :alt:

  :doc:`/auto_examples/tabular/plot_explaining_tabpfn`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Explaining TabPFN</div>
    </div>


.. thumbnail-parent-div-close

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/tabular/plot_conditional_imputer
   /auto_examples/tabular/plot_shapiq_scikit_learn
   /auto_examples/tabular/plot_explaining_tabpfn