.. _sphx_glr_auto_examples_miscellaneous: .. _miscellaneous_examples: Miscellaneous ------------- Miscellaneous and introductory examples for scikit-learn. .. raw:: html <div class="sphx-glr-thumbnails"> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip=" See also sphx_glr_auto_examples_miscellaneous_plot_roc_curve_visualization_api.py"> .. only:: html .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_partial_dependence_visualization_api_thumb.png :alt: :ref:`sphx_glr_auto_examples_miscellaneous_plot_partial_dependence_visualization_api.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Advanced Plotting With Partial Dependence</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="This example shows characteristics of different anomaly detection algorithms on 2D datasets. Da..."> .. only:: html .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_anomaly_comparison_thumb.png :alt: :ref:`sphx_glr_auto_examples_miscellaneous_plot_anomaly_comparison.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Comparing anomaly detection algorithms for outlier detection on toy datasets</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="Both kernel ridge regression (KRR) and SVR learn a non-linear function by employing the kernel ..."> .. only:: html .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_kernel_ridge_regression_thumb.png :alt: :ref:`sphx_glr_auto_examples_miscellaneous_plot_kernel_ridge_regression.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Comparison of kernel ridge regression and SVR</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="The default configuration for displaying a pipeline in a Jupyter Notebook is 'diagram' where se..."> .. only:: html .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_pipeline_display_thumb.png :alt: :ref:`sphx_glr_auto_examples_miscellaneous_plot_pipeline_display.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Displaying Pipelines</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates different ways estimators and pipelines can be displayed."> .. only:: html .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_estimator_representation_thumb.png :alt: :ref:`sphx_glr_auto_examples_miscellaneous_plot_estimator_representation.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Displaying estimators and complex pipelines</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="This example compares two outlier detection algorithms, namely local_outlier_factor (LOF) and i..."> .. only:: html .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_outlier_detection_bench_thumb.png :alt: :ref:`sphx_glr_auto_examples_miscellaneous_plot_outlier_detection_bench.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Evaluation of outlier detection estimators</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="An example illustrating the approximation of the feature map of an RBF kernel."> .. only:: html .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_kernel_approximation_thumb.png :alt: :ref:`sphx_glr_auto_examples_miscellaneous_plot_kernel_approximation.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Explicit feature map approximation for RBF kernels</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="This example shows the use of multi-output estimator to complete images. The goal is to predict..."> .. only:: html .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_multioutput_face_completion_thumb.png :alt: :ref:`sphx_glr_auto_examples_miscellaneous_plot_multioutput_face_completion.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Face completion with a multi-output estimators</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="This example will demonstrate the set_output API to configure transformers to output pandas Dat..."> .. only:: html .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_set_output_thumb.png :alt: :ref:`sphx_glr_auto_examples_miscellaneous_plot_set_output.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Introducing the set_output API</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="An illustration of the isotonic regression on generated data (non-linear monotonic trend with h..."> .. only:: html .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_isotonic_regression_thumb.png :alt: :ref:`sphx_glr_auto_examples_miscellaneous_plot_isotonic_regression.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Isotonic Regression</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="This document shows how you can use the metadata routing mechanism <metadata_routing> in scikit..."> .. only:: html .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_metadata_routing_thumb.png :alt: :ref:`sphx_glr_auto_examples_miscellaneous_plot_metadata_routing.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Metadata Routing</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="This example simulates a multi-label document classification problem. The dataset is generated ..."> .. only:: html .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_multilabel_thumb.png :alt: :ref:`sphx_glr_auto_examples_miscellaneous_plot_multilabel.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Multilabel classification</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="ROC Curve with Visualization API"> .. only:: html .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_roc_curve_visualization_api_thumb.png :alt: :ref:`sphx_glr_auto_examples_miscellaneous_plot_roc_curve_visualization_api.py` .. raw:: html <div class="sphx-glr-thumbnail-title">ROC Curve with Visualization API</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip=" The `Johnson-Lindenstrauss lemma`_ states that any high dimensional dataset can be randomly pr..."> .. only:: html .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_johnson_lindenstrauss_bound_thumb.png :alt: :ref:`sphx_glr_auto_examples_miscellaneous_plot_johnson_lindenstrauss_bound.py` .. raw:: html <div class="sphx-glr-thumbnail-title">The Johnson-Lindenstrauss bound for embedding with random projections</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="In this example, we will construct display objects, ConfusionMatrixDisplay, RocCurveDisplay, an..."> .. only:: html .. image:: /auto_examples/miscellaneous/images/thumb/sphx_glr_plot_display_object_visualization_thumb.png :alt: :ref:`sphx_glr_auto_examples_miscellaneous_plot_display_object_visualization.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Visualizations with Display Objects</div> </div> .. raw:: html </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_metadata_routing /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