

.. _sphx_glr_auto_examples_compose:

.. _compose_examples:

Pipelines and composite estimators
----------------------------------

Examples of how to compose transformers and pipelines from other estimators. See the :ref:`User Guide <combining_estimators>`.



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


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    <div class="sphx-glr-thumbcontainer" tooltip="Datasets can often contain components that require different feature extraction and processing ...">

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  .. image:: /auto_examples/compose/images/thumb/sphx_glr_plot_column_transformer_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_compose_plot_column_transformer.py`

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      <div class="sphx-glr-thumbnail-title">Column Transformer with Heterogeneous Data Sources</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates how to apply different preprocessing and feature extraction pipelines ...">

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  .. image:: /auto_examples/compose/images/thumb/sphx_glr_plot_column_transformer_mixed_types_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_compose_plot_column_transformer_mixed_types.py`

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      <div class="sphx-glr-thumbnail-title">Column Transformer with Mixed Types</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="In many real-world examples, there are many ways to extract features from a dataset. Often it i...">

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  .. image:: /auto_examples/compose/images/thumb/sphx_glr_plot_feature_union_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_compose_plot_feature_union.py`

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      <div class="sphx-glr-thumbnail-title">Concatenating multiple feature extraction methods</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="In this example, we give an overview of TransformedTargetRegressor. We use two examples to illu...">

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  .. image:: /auto_examples/compose/images/thumb/sphx_glr_plot_transformed_target_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_compose_plot_transformed_target.py`

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      <div class="sphx-glr-thumbnail-title">Effect of transforming the targets in regression model</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="The PCA does an unsupervised dimensionality reduction, while the logistic regression does the p...">

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  .. image:: /auto_examples/compose/images/thumb/sphx_glr_plot_digits_pipe_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_compose_plot_digits_pipe.py`

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      <div class="sphx-glr-thumbnail-title">Pipelining: chaining a PCA and a logistic regression</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This example constructs a pipeline that does dimensionality reduction followed by prediction wi...">

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  .. image:: /auto_examples/compose/images/thumb/sphx_glr_plot_compare_reduction_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_compose_plot_compare_reduction.py`

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      <div class="sphx-glr-thumbnail-title">Selecting dimensionality reduction with Pipeline and GridSearchCV</div>
    </div>


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    </div>


.. toctree::
   :hidden:

   /auto_examples/compose/plot_column_transformer
   /auto_examples/compose/plot_column_transformer_mixed_types
   /auto_examples/compose/plot_feature_union
   /auto_examples/compose/plot_transformed_target
   /auto_examples/compose/plot_digits_pipe
   /auto_examples/compose/plot_compare_reduction

