.. _sphx_glr_auto_examples_miscellaneous:

.. _miscellaneous_examples:

Miscellaneous
-------------

Miscellaneous and introductory examples for scikit-learn.




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


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    <div class="sphx-glr-thumbcontainer" tooltip="    See also sphx_glr_auto_examples_miscellaneous_plot_roc_curve_visualization_api.py">

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  .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_partial_dependence_visualization_api_thumb.png
    :alt: Advanced Plotting With Partial Dependence

  :ref:`sphx_glr_auto_examples_miscellaneous_plot_partial_dependence_visualization_api.py`

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      <div class="sphx-glr-thumbnail-title">Advanced Plotting With Partial Dependence</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows characteristics of different anomaly detection algorithms on 2D datasets. Da...">

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  .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_anomaly_comparison_thumb.png
    :alt: Comparing anomaly detection algorithms for outlier detection on toy datasets

  :ref:`sphx_glr_auto_examples_miscellaneous_plot_anomaly_comparison.py`

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      <div class="sphx-glr-thumbnail-title">Comparing anomaly detection algorithms for outlier detection on toy datasets</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Both kernel ridge regression (KRR) and SVR learn a non-linear function by employing the kernel ...">

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  .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_kernel_ridge_regression_thumb.png
    :alt: Comparison of kernel ridge regression and SVR

  :ref:`sphx_glr_auto_examples_miscellaneous_plot_kernel_ridge_regression.py`

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      <div class="sphx-glr-thumbnail-title">Comparison of kernel ridge regression and SVR</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="The default configuration for displaying a pipeline in a Jupyter Notebook is &#x27;diagram&#x27; where se...">

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  .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_pipeline_display_thumb.png
    :alt: Displaying Pipelines

  :ref:`sphx_glr_auto_examples_miscellaneous_plot_pipeline_display.py`

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      <div class="sphx-glr-thumbnail-title">Displaying Pipelines</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates different ways estimators and pipelines can be displayed.">

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  .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_estimator_representation_thumb.png
    :alt: Displaying estimators and complex pipelines

  :ref:`sphx_glr_auto_examples_miscellaneous_plot_estimator_representation.py`

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      <div class="sphx-glr-thumbnail-title">Displaying estimators and complex pipelines</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example benchmarks outlier detection algorithms, local_outlier_factor (LOF) and isolation_...">

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  .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_outlier_detection_bench_thumb.png
    :alt: Evaluation of outlier detection estimators

  :ref:`sphx_glr_auto_examples_miscellaneous_plot_outlier_detection_bench.py`

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      <div class="sphx-glr-thumbnail-title">Evaluation of outlier detection estimators</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="An example illustrating the approximation of the feature map of an RBF kernel.">

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  .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_kernel_approximation_thumb.png
    :alt: Explicit feature map approximation for RBF kernels

  :ref:`sphx_glr_auto_examples_miscellaneous_plot_kernel_approximation.py`

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      <div class="sphx-glr-thumbnail-title">Explicit feature map approximation for RBF kernels</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows the use of multi-output estimator to complete images. The goal is to predict...">

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  .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_multioutput_face_completion_thumb.png
    :alt: Face completion with a multi-output estimators

  :ref:`sphx_glr_auto_examples_miscellaneous_plot_multioutput_face_completion.py`

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      <div class="sphx-glr-thumbnail-title">Face completion with a multi-output estimators</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This example will demonstrate the set_output API to configure transformers to output pandas Dat...">

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  .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_set_output_thumb.png
    :alt: Introducing the `set_output` API

  :ref:`sphx_glr_auto_examples_miscellaneous_plot_set_output.py`

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      <div class="sphx-glr-thumbnail-title">Introducing the `set_output` API</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="An illustration of the isotonic regression on generated data (non-linear monotonic trend with h...">

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  .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_isotonic_regression_thumb.png
    :alt: Isotonic Regression

  :ref:`sphx_glr_auto_examples_miscellaneous_plot_isotonic_regression.py`

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      <div class="sphx-glr-thumbnail-title">Isotonic Regression</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example simulates a multi-label document classification problem. The dataset is generated ...">

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  .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_multilabel_thumb.png
    :alt: Multilabel classification

  :ref:`sphx_glr_auto_examples_miscellaneous_plot_multilabel.py`

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      <div class="sphx-glr-thumbnail-title">Multilabel classification</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="ROC Curve with Visualization API">

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  .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_roc_curve_visualization_api_thumb.png
    :alt: ROC Curve with Visualization API

  :ref:`sphx_glr_auto_examples_miscellaneous_plot_roc_curve_visualization_api.py`

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      <div class="sphx-glr-thumbnail-title">ROC Curve with Visualization API</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip=" The `Johnson-Lindenstrauss lemma`_ states that any high dimensional dataset can be randomly pr...">

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  .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_johnson_lindenstrauss_bound_thumb.png
    :alt: The Johnson-Lindenstrauss bound for embedding with random projections

  :ref:`sphx_glr_auto_examples_miscellaneous_plot_johnson_lindenstrauss_bound.py`

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      <div class="sphx-glr-thumbnail-title">The Johnson-Lindenstrauss bound for embedding with random projections</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="In this example, we will construct display objects, ConfusionMatrixDisplay, RocCurveDisplay, an...">

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  .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_display_object_visualization_thumb.png
    :alt: Visualizations with Display Objects

  :ref:`sphx_glr_auto_examples_miscellaneous_plot_display_object_visualization.py`

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      <div class="sphx-glr-thumbnail-title">Visualizations with Display Objects</div>
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    </div>


.. toctree::
   :hidden:

   /auto_examples/miscellaneous/plot_partial_dependence_visualization_api
   /auto_examples/miscellaneous/plot_anomaly_comparison
   /auto_examples/miscellaneous/plot_kernel_ridge_regression
   /auto_examples/miscellaneous/plot_pipeline_display
   /auto_examples/miscellaneous/plot_estimator_representation
   /auto_examples/miscellaneous/plot_outlier_detection_bench
   /auto_examples/miscellaneous/plot_kernel_approximation
   /auto_examples/miscellaneous/plot_multioutput_face_completion
   /auto_examples/miscellaneous/plot_set_output
   /auto_examples/miscellaneous/plot_isotonic_regression
   /auto_examples/miscellaneous/plot_multilabel
   /auto_examples/miscellaneous/plot_roc_curve_visualization_api
   /auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound
   /auto_examples/miscellaneous/plot_display_object_visualization