orphan:

Examples

Release Highlights

These examples illustrate the main features of the releases of scikit-learn.

.. only:: html

  .. image:: /auto_examples/release_highlights/images/thumb/sphx_glr_plot_release_highlights_1_4_0_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_4_0.py`

Release Highlights for scikit-learn 1.4

.. only:: html

  .. image:: /auto_examples/release_highlights/images/thumb/sphx_glr_plot_release_highlights_1_3_0_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_3_0.py`

Release Highlights for scikit-learn 1.3

.. only:: html

  .. image:: /auto_examples/release_highlights/images/thumb/sphx_glr_plot_release_highlights_1_2_0_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_2_0.py`

Release Highlights for scikit-learn 1.2

.. only:: html

  .. image:: /auto_examples/release_highlights/images/thumb/sphx_glr_plot_release_highlights_1_1_0_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_1_0.py`

Release Highlights for scikit-learn 1.1

.. only:: html

  .. image:: /auto_examples/release_highlights/images/thumb/sphx_glr_plot_release_highlights_1_0_0_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_0_0.py`

Release Highlights for scikit-learn 1.0

.. only:: html

  .. image:: /auto_examples/release_highlights/images/thumb/sphx_glr_plot_release_highlights_0_24_0_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_24_0.py`

Release Highlights for scikit-learn 0.24

.. only:: html

  .. image:: /auto_examples/release_highlights/images/thumb/sphx_glr_plot_release_highlights_0_23_0_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_23_0.py`

Release Highlights for scikit-learn 0.23

.. only:: html

  .. image:: /auto_examples/release_highlights/images/thumb/sphx_glr_plot_release_highlights_0_22_0_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_22_0.py`

Release Highlights for scikit-learn 0.22

Biclustering

Examples concerning biclustering techniques.

.. only:: html

  .. image:: /auto_examples/bicluster/images/thumb/sphx_glr_plot_spectral_biclustering_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_bicluster_plot_spectral_biclustering.py`

A demo of the Spectral Biclustering algorithm

.. only:: html

  .. image:: /auto_examples/bicluster/images/thumb/sphx_glr_plot_spectral_coclustering_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_bicluster_plot_spectral_coclustering.py`

A demo of the Spectral Co-Clustering algorithm

.. only:: html

  .. image:: /auto_examples/bicluster/images/thumb/sphx_glr_plot_bicluster_newsgroups_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_bicluster_plot_bicluster_newsgroups.py`

Biclustering documents with the Spectral Co-clustering algorithm

Calibration

Examples illustrating the calibration of predicted probabilities of classifiers.

.. only:: html

  .. image:: /auto_examples/calibration/images/thumb/sphx_glr_plot_compare_calibration_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_calibration_plot_compare_calibration.py`

Comparison of Calibration of Classifiers

.. only:: html

  .. image:: /auto_examples/calibration/images/thumb/sphx_glr_plot_calibration_curve_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_calibration_plot_calibration_curve.py`

Probability Calibration curves

.. only:: html

  .. image:: /auto_examples/calibration/images/thumb/sphx_glr_plot_calibration_multiclass_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_calibration_plot_calibration_multiclass.py`

Probability Calibration for 3-class classification

.. only:: html

  .. image:: /auto_examples/calibration/images/thumb/sphx_glr_plot_calibration_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_calibration_plot_calibration.py`

Probability calibration of classifiers

Classification

General examples about classification algorithms.

.. only:: html

  .. image:: /auto_examples/classification/images/thumb/sphx_glr_plot_classifier_comparison_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_classification_plot_classifier_comparison.py`

Classifier comparison

.. only:: html

  .. image:: /auto_examples/classification/images/thumb/sphx_glr_plot_lda_qda_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_classification_plot_lda_qda.py`

Linear and Quadratic Discriminant Analysis with covariance ellipsoid

.. only:: html

  .. image:: /auto_examples/classification/images/thumb/sphx_glr_plot_lda_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_classification_plot_lda.py`

Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis for classification

.. only:: html

  .. image:: /auto_examples/classification/images/thumb/sphx_glr_plot_classification_probability_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_classification_plot_classification_probability.py`

Plot classification probability

.. only:: html

  .. image:: /auto_examples/classification/images/thumb/sphx_glr_plot_digits_classification_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_classification_plot_digits_classification.py`

Recognizing hand-written digits

Clustering

Examples concerning the :mod:`sklearn.cluster` module.

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_kmeans_digits_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_digits.py`

A demo of K-Means clustering on the handwritten digits data

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_coin_ward_segmentation_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_coin_ward_segmentation.py`

A demo of structured Ward hierarchical clustering on an image of coins

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_mean_shift_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_mean_shift.py`

A demo of the mean-shift clustering algorithm

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_adjusted_for_chance_measures_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_adjusted_for_chance_measures.py`

Adjustment for chance in clustering performance evaluation

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_agglomerative_clustering_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering.py`

Agglomerative clustering with and without structure

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_agglomerative_clustering_metrics_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering_metrics.py`

Agglomerative clustering with different metrics

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_kmeans_plusplus_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_plusplus.py`

An example of K-Means++ initialization

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_bisect_kmeans_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_bisect_kmeans.py`

Bisecting K-Means and Regular K-Means Performance Comparison

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_color_quantization_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_color_quantization.py`

Color Quantization using K-Means

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_birch_vs_minibatchkmeans_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_birch_vs_minibatchkmeans.py`

Compare BIRCH and MiniBatchKMeans

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_cluster_comparison_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_cluster_comparison.py`

Comparing different clustering algorithms on toy datasets

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_linkage_comparison_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_linkage_comparison.py`

Comparing different hierarchical linkage methods on toy datasets

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_mini_batch_kmeans_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_mini_batch_kmeans.py`

Comparison of the K-Means and MiniBatchKMeans clustering algorithms

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_dbscan_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_dbscan.py`

Demo of DBSCAN clustering algorithm

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_hdbscan_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_hdbscan.py`

Demo of HDBSCAN clustering algorithm

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_optics_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_optics.py`

Demo of OPTICS clustering algorithm

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_affinity_propagation_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_affinity_propagation.py`

Demo of affinity propagation clustering algorithm

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_kmeans_assumptions_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_assumptions.py`

Demonstration of k-means assumptions

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_kmeans_stability_low_dim_dense_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_stability_low_dim_dense.py`

Empirical evaluation of the impact of k-means initialization

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_digits_agglomeration_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_digits_agglomeration.py`

Feature agglomeration

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_feature_agglomeration_vs_univariate_selection_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_feature_agglomeration_vs_univariate_selection.py`

Feature agglomeration vs. univariate selection

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_ward_structured_vs_unstructured_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_ward_structured_vs_unstructured.py`

Hierarchical clustering: structured vs unstructured ward

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_inductive_clustering_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_inductive_clustering.py`

Inductive Clustering

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_cluster_iris_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_cluster_iris.py`

K-means Clustering

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_dict_face_patches_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_dict_face_patches.py`

Online learning of a dictionary of parts of faces

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_agglomerative_dendrogram_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_dendrogram.py`

Plot Hierarchical Clustering Dendrogram

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_coin_segmentation_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_coin_segmentation.py`

Segmenting the picture of greek coins in regions

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_kmeans_silhouette_analysis_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_silhouette_analysis.py`

Selecting the number of clusters with silhouette analysis on KMeans clustering

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_segmentation_toy_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_segmentation_toy.py`

Spectral clustering for image segmentation

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_digits_linkage_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_digits_linkage.py`

Various Agglomerative Clustering on a 2D embedding of digits

.. only:: html

  .. image:: /auto_examples/cluster/images/thumb/sphx_glr_plot_face_compress_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cluster_plot_face_compress.py`

Vector Quantization Example

Covariance estimation

Examples concerning the :mod:`sklearn.covariance` module.

.. only:: html

  .. image:: /auto_examples/covariance/images/thumb/sphx_glr_plot_lw_vs_oas_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_covariance_plot_lw_vs_oas.py`

Ledoit-Wolf vs OAS estimation

.. only:: html

  .. image:: /auto_examples/covariance/images/thumb/sphx_glr_plot_mahalanobis_distances_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_covariance_plot_mahalanobis_distances.py`

Robust covariance estimation and Mahalanobis distances relevance

.. only:: html

  .. image:: /auto_examples/covariance/images/thumb/sphx_glr_plot_robust_vs_empirical_covariance_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_covariance_plot_robust_vs_empirical_covariance.py`

Robust vs Empirical covariance estimate

.. only:: html

  .. image:: /auto_examples/covariance/images/thumb/sphx_glr_plot_covariance_estimation_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_covariance_plot_covariance_estimation.py`

Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihood

.. only:: html

  .. image:: /auto_examples/covariance/images/thumb/sphx_glr_plot_sparse_cov_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_covariance_plot_sparse_cov.py`

Sparse inverse covariance estimation

Cross decomposition

Examples concerning the :mod:`sklearn.cross_decomposition` module.

.. only:: html

  .. image:: /auto_examples/cross_decomposition/images/thumb/sphx_glr_plot_compare_cross_decomposition_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cross_decomposition_plot_compare_cross_decomposition.py`

Compare cross decomposition methods

.. only:: html

  .. image:: /auto_examples/cross_decomposition/images/thumb/sphx_glr_plot_pcr_vs_pls_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cross_decomposition_plot_pcr_vs_pls.py`

Principal Component Regression vs Partial Least Squares Regression

Dataset examples

Examples concerning the :mod:`sklearn.datasets` module.

.. only:: html

  .. image:: /auto_examples/datasets/images/thumb/sphx_glr_plot_random_dataset_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_datasets_plot_random_dataset.py`

Plot randomly generated classification dataset

.. only:: html

  .. image:: /auto_examples/datasets/images/thumb/sphx_glr_plot_random_multilabel_dataset_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_datasets_plot_random_multilabel_dataset.py`

Plot randomly generated multilabel dataset

.. only:: html

  .. image:: /auto_examples/datasets/images/thumb/sphx_glr_plot_digits_last_image_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_datasets_plot_digits_last_image.py`

The Digit Dataset

.. only:: html

  .. image:: /auto_examples/datasets/images/thumb/sphx_glr_plot_iris_dataset_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_datasets_plot_iris_dataset.py`

The Iris Dataset

Decision Trees

Examples concerning the :mod:`sklearn.tree` module.

.. only:: html

  .. image:: /auto_examples/tree/images/thumb/sphx_glr_plot_tree_regression_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_tree_plot_tree_regression.py`

Decision Tree Regression

.. only:: html

  .. image:: /auto_examples/tree/images/thumb/sphx_glr_plot_tree_regression_multioutput_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_tree_plot_tree_regression_multioutput.py`

Multi-output Decision Tree Regression

.. only:: html

  .. image:: /auto_examples/tree/images/thumb/sphx_glr_plot_iris_dtc_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_tree_plot_iris_dtc.py`

Plot the decision surface of decision trees trained on the iris dataset

.. only:: html

  .. image:: /auto_examples/tree/images/thumb/sphx_glr_plot_cost_complexity_pruning_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_tree_plot_cost_complexity_pruning.py`

Post pruning decision trees with cost complexity pruning

.. only:: html

  .. image:: /auto_examples/tree/images/thumb/sphx_glr_plot_unveil_tree_structure_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_tree_plot_unveil_tree_structure.py`

Understanding the decision tree structure

Decomposition

Examples concerning the :mod:`sklearn.decomposition` module.

.. only:: html

  .. image:: /auto_examples/decomposition/images/thumb/sphx_glr_plot_ica_blind_source_separation_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_decomposition_plot_ica_blind_source_separation.py`

Blind source separation using FastICA

.. only:: html

  .. image:: /auto_examples/decomposition/images/thumb/sphx_glr_plot_pca_vs_lda_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_lda.py`

Comparison of LDA and PCA 2D projection of Iris dataset

.. only:: html

  .. image:: /auto_examples/decomposition/images/thumb/sphx_glr_plot_faces_decomposition_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_decomposition_plot_faces_decomposition.py`

Faces dataset decompositions

.. only:: html

  .. image:: /auto_examples/decomposition/images/thumb/sphx_glr_plot_varimax_fa_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_decomposition_plot_varimax_fa.py`

Factor Analysis (with rotation) to visualize patterns

.. only:: html

  .. image:: /auto_examples/decomposition/images/thumb/sphx_glr_plot_ica_vs_pca_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_decomposition_plot_ica_vs_pca.py`

FastICA on 2D point clouds

.. only:: html

  .. image:: /auto_examples/decomposition/images/thumb/sphx_glr_plot_image_denoising_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_decomposition_plot_image_denoising.py`

Image denoising using dictionary learning

.. only:: html

  .. image:: /auto_examples/decomposition/images/thumb/sphx_glr_plot_incremental_pca_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_decomposition_plot_incremental_pca.py`

Incremental PCA

.. only:: html

  .. image:: /auto_examples/decomposition/images/thumb/sphx_glr_plot_kernel_pca_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_decomposition_plot_kernel_pca.py`

Kernel PCA

.. only:: html

  .. image:: /auto_examples/decomposition/images/thumb/sphx_glr_plot_pca_vs_fa_model_selection_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_fa_model_selection.py`

Model selection with Probabilistic PCA and Factor Analysis (FA)

.. only:: html

  .. image:: /auto_examples/decomposition/images/thumb/sphx_glr_plot_pca_iris_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_decomposition_plot_pca_iris.py`

PCA example with Iris Data-set

.. only:: html

  .. image:: /auto_examples/decomposition/images/thumb/sphx_glr_plot_sparse_coding_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_decomposition_plot_sparse_coding.py`

Sparse coding with a precomputed dictionary

Developing Estimators

Examples concerning the development of Custom Estimator.

.. only:: html

  .. image:: /auto_examples/developing_estimators/images/thumb/sphx_glr_sklearn_is_fitted_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_developing_estimators_sklearn_is_fitted.py`

__sklearn_is_fitted__ as Developer API

Ensemble methods

Examples concerning the :mod:`sklearn.ensemble` module.

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_gradient_boosting_categorical_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_categorical.py`

Categorical Feature Support in Gradient Boosting

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_stack_predictors_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_stack_predictors.py`

Combine predictors using stacking

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_forest_hist_grad_boosting_comparison_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_forest_hist_grad_boosting_comparison.py`

Comparing Random Forests and Histogram Gradient Boosting models

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_random_forest_regression_multioutput_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_random_forest_regression_multioutput.py`

Comparing random forests and the multi-output meta estimator

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_adaboost_regression_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_adaboost_regression.py`

Decision Tree Regression with AdaBoost

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_gradient_boosting_early_stopping_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_early_stopping.py`

Early stopping in Gradient Boosting

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_forest_importances_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_forest_importances.py`

Feature importances with a forest of trees

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_feature_transformation_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_feature_transformation.py`

Feature transformations with ensembles of trees

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_gradient_boosting_oob_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_oob.py`

Gradient Boosting Out-of-Bag estimates

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_gradient_boosting_regression_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_regression.py`

Gradient Boosting regression

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_gradient_boosting_regularization_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_regularization.py`

Gradient Boosting regularization

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_random_forest_embedding_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_random_forest_embedding.py`

Hashing feature transformation using Totally Random Trees

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_isolation_forest_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_isolation_forest.py`

IsolationForest example

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_monotonic_constraints_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_monotonic_constraints.py`

Monotonic Constraints

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_adaboost_multiclass_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_adaboost_multiclass.py`

Multi-class AdaBoosted Decision Trees

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_ensemble_oob_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_ensemble_oob.py`

OOB Errors for Random Forests

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_forest_importances_faces_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_forest_importances_faces.py`

Pixel importances with a parallel forest of trees

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_voting_probas_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_voting_probas.py`

Plot class probabilities calculated by the VotingClassifier

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_voting_regressor_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_voting_regressor.py`

Plot individual and voting regression predictions

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_voting_decision_regions_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_voting_decision_regions.py`

Plot the decision boundaries of a VotingClassifier

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_forest_iris_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_forest_iris.py`

Plot the decision surfaces of ensembles of trees on the iris dataset

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_gradient_boosting_quantile_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_quantile.py`

Prediction Intervals for Gradient Boosting Regression

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_bias_variance_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_bias_variance.py`

Single estimator versus bagging: bias-variance decomposition

.. only:: html

  .. image:: /auto_examples/ensemble/images/thumb/sphx_glr_plot_adaboost_twoclass_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_ensemble_plot_adaboost_twoclass.py`

Two-class AdaBoost

Examples based on real world datasets

Applications to real world problems with some medium sized datasets or interactive user interface.

.. only:: html

  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_tomography_l1_reconstruction_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_applications_plot_tomography_l1_reconstruction.py`

Compressive sensing: tomography reconstruction with L1 prior (Lasso)

.. only:: html

  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_face_recognition_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_applications_plot_face_recognition.py`

Faces recognition example using eigenfaces and SVMs

.. only:: html

  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_digits_denoising_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_applications_plot_digits_denoising.py`

Image denoising using kernel PCA

.. only:: html

  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_time_series_lagged_features_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_applications_plot_time_series_lagged_features.py`

Lagged features for time series forecasting

.. only:: html

  .. image:: /auto_examples/applications/images/thumb/sphx_glr_svm_gui_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_applications_svm_gui.py`

Libsvm GUI

.. only:: html

  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_model_complexity_influence_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_applications_plot_model_complexity_influence.py`

Model Complexity Influence

.. only:: html

  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_out_of_core_classification_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_applications_plot_out_of_core_classification.py`

Out-of-core classification of text documents

.. only:: html

  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_outlier_detection_wine_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_applications_plot_outlier_detection_wine.py`

Outlier detection on a real data set

.. only:: html

  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_prediction_latency_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_applications_plot_prediction_latency.py`

Prediction Latency

.. only:: html

  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_species_distribution_modeling_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_applications_plot_species_distribution_modeling.py`

Species distribution modeling

.. only:: html

  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_cyclical_feature_engineering_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_applications_plot_cyclical_feature_engineering.py`

Time-related feature engineering

.. only:: html

  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_topics_extraction_with_nmf_lda_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_applications_plot_topics_extraction_with_nmf_lda.py`

Topic extraction with Non-negative Matrix Factorization and Latent Dirichlet Allocation

.. only:: html

  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_stock_market_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_applications_plot_stock_market.py`

Visualizing the stock market structure

.. only:: html

  .. image:: /auto_examples/applications/images/thumb/sphx_glr_wikipedia_principal_eigenvector_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_applications_wikipedia_principal_eigenvector.py`

Wikipedia principal eigenvector

Feature Selection

Examples concerning the :mod:`sklearn.feature_selection` module.

.. only:: html

  .. image:: /auto_examples/feature_selection/images/thumb/sphx_glr_plot_f_test_vs_mi_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_feature_selection_plot_f_test_vs_mi.py`

Comparison of F-test and mutual information

.. only:: html

  .. image:: /auto_examples/feature_selection/images/thumb/sphx_glr_plot_select_from_model_diabetes_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_feature_selection_plot_select_from_model_diabetes.py`

Model-based and sequential feature selection

.. only:: html

  .. image:: /auto_examples/feature_selection/images/thumb/sphx_glr_plot_feature_selection_pipeline_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_feature_selection_plot_feature_selection_pipeline.py`

Pipeline ANOVA SVM

.. only:: html

  .. image:: /auto_examples/feature_selection/images/thumb/sphx_glr_plot_rfe_digits_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_feature_selection_plot_rfe_digits.py`

Recursive feature elimination

.. only:: html

  .. image:: /auto_examples/feature_selection/images/thumb/sphx_glr_plot_rfe_with_cross_validation_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_feature_selection_plot_rfe_with_cross_validation.py`

Recursive feature elimination with cross-validation

.. only:: html

  .. image:: /auto_examples/feature_selection/images/thumb/sphx_glr_plot_feature_selection_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_feature_selection_plot_feature_selection.py`

Univariate Feature Selection

Gaussian Mixture Models

Examples concerning the :mod:`sklearn.mixture` module.

.. only:: html

  .. image:: /auto_examples/mixture/images/thumb/sphx_glr_plot_concentration_prior_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_mixture_plot_concentration_prior.py`

Concentration Prior Type Analysis of Variation Bayesian Gaussian Mixture

.. only:: html

  .. image:: /auto_examples/mixture/images/thumb/sphx_glr_plot_gmm_pdf_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_mixture_plot_gmm_pdf.py`

Density Estimation for a Gaussian mixture

.. only:: html

  .. image:: /auto_examples/mixture/images/thumb/sphx_glr_plot_gmm_init_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_mixture_plot_gmm_init.py`

GMM Initialization Methods

.. only:: html

  .. image:: /auto_examples/mixture/images/thumb/sphx_glr_plot_gmm_covariances_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_mixture_plot_gmm_covariances.py`

GMM covariances

.. only:: html

  .. image:: /auto_examples/mixture/images/thumb/sphx_glr_plot_gmm_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_mixture_plot_gmm.py`

Gaussian Mixture Model Ellipsoids

.. only:: html

  .. image:: /auto_examples/mixture/images/thumb/sphx_glr_plot_gmm_selection_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_mixture_plot_gmm_selection.py`

Gaussian Mixture Model Selection

.. only:: html

  .. image:: /auto_examples/mixture/images/thumb/sphx_glr_plot_gmm_sin_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_mixture_plot_gmm_sin.py`

Gaussian Mixture Model Sine Curve

Gaussian Process for Machine Learning

Examples concerning the :mod:`sklearn.gaussian_process` module.

.. only:: html

  .. image:: /auto_examples/gaussian_process/images/thumb/sphx_glr_plot_gpr_noisy_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_noisy.py`

Ability of Gaussian process regression (GPR) to estimate data noise-level

.. only:: html

  .. image:: /auto_examples/gaussian_process/images/thumb/sphx_glr_plot_compare_gpr_krr_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_gaussian_process_plot_compare_gpr_krr.py`

Comparison of kernel ridge and Gaussian process regression

.. only:: html

  .. image:: /auto_examples/gaussian_process/images/thumb/sphx_glr_plot_gpr_co2_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_co2.py`

Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR)

.. only:: html

  .. image:: /auto_examples/gaussian_process/images/thumb/sphx_glr_plot_gpr_noisy_targets_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_noisy_targets.py`

Gaussian Processes regression: basic introductory example

.. only:: html

  .. image:: /auto_examples/gaussian_process/images/thumb/sphx_glr_plot_gpc_iris_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpc_iris.py`

Gaussian process classification (GPC) on iris dataset

.. only:: html

  .. image:: /auto_examples/gaussian_process/images/thumb/sphx_glr_plot_gpr_on_structured_data_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_on_structured_data.py`

Gaussian processes on discrete data structures

.. only:: html

  .. image:: /auto_examples/gaussian_process/images/thumb/sphx_glr_plot_gpc_xor_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpc_xor.py`

Illustration of Gaussian process classification (GPC) on the XOR dataset

.. only:: html

  .. image:: /auto_examples/gaussian_process/images/thumb/sphx_glr_plot_gpr_prior_posterior_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_prior_posterior.py`

Illustration of prior and posterior Gaussian process for different kernels

.. only:: html

  .. image:: /auto_examples/gaussian_process/images/thumb/sphx_glr_plot_gpc_isoprobability_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpc_isoprobability.py`

Iso-probability lines for Gaussian Processes classification (GPC)

.. only:: html

  .. image:: /auto_examples/gaussian_process/images/thumb/sphx_glr_plot_gpc_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpc.py`

Probabilistic predictions with Gaussian process classification (GPC)

Generalized Linear Models

Examples concerning the :mod:`sklearn.linear_model` module.

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_ard_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_ard.py`

Comparing Linear Bayesian Regressors

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_sgd_comparison_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_sgd_comparison.py`

Comparing various online solvers

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_bayesian_ridge_curvefit_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_bayesian_ridge_curvefit.py`

Curve Fitting with Bayesian Ridge Regression

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_sgd_early_stopping_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_sgd_early_stopping.py`

Early stopping of Stochastic Gradient Descent

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_elastic_net_precomputed_gram_matrix_with_weighted_samples_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_elastic_net_precomputed_gram_matrix_with_weighted_samples.py`

Fitting an Elastic Net with a precomputed Gram Matrix and Weighted Samples

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_huber_vs_ridge_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_huber_vs_ridge.py`

HuberRegressor vs Ridge on dataset with strong outliers

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_multi_task_lasso_support_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_multi_task_lasso_support.py`

Joint feature selection with multi-task Lasso

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_logistic_l1_l2_sparsity_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_logistic_l1_l2_sparsity.py`

L1 Penalty and Sparsity in Logistic Regression

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_lasso_and_elasticnet_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_lasso_and_elasticnet.py`

L1-based models for Sparse Signals

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_lasso_coordinate_descent_path_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_lasso_coordinate_descent_path.py`

Lasso and Elastic Net

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_lasso_lars_ic_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_lasso_lars_ic.py`

Lasso model selection via information criteria

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_lasso_model_selection_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_lasso_model_selection.py`

Lasso model selection: AIC-BIC / cross-validation

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_lasso_dense_vs_sparse_data_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_lasso_dense_vs_sparse_data.py`

Lasso on dense and sparse data

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_lasso_lars_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_lasso_lars.py`

Lasso path using LARS

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_ols_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_ols.py`

Linear Regression Example

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_iris_logistic_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_iris_logistic.py`

Logistic Regression 3-class Classifier

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_logistic_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_logistic.py`

Logistic function

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_sparse_logistic_regression_mnist_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_sparse_logistic_regression_mnist.py`

MNIST classification using multinomial logistic + L1

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_sparse_logistic_regression_20newsgroups_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_sparse_logistic_regression_20newsgroups.py`

Multiclass sparse logistic regression on 20newgroups

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_nnls_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_nnls.py`

Non-negative least squares

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_sgdocsvm_vs_ocsvm_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_sgdocsvm_vs_ocsvm.py`

One-Class SVM versus One-Class SVM using Stochastic Gradient Descent

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_ols_ridge_variance_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_ols_ridge_variance.py`

Ordinary Least Squares and Ridge Regression Variance

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_omp_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_omp.py`

Orthogonal Matching Pursuit

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_ridge_path_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_ridge_path.py`

Plot Ridge coefficients as a function of the regularization

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_sgd_iris_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_sgd_iris.py`

Plot multi-class SGD on the iris dataset

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_logistic_multinomial_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_logistic_multinomial.py`

Plot multinomial and One-vs-Rest Logistic Regression

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_poisson_regression_non_normal_loss_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_poisson_regression_non_normal_loss.py`

Poisson regression and non-normal loss

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_polynomial_interpolation_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_polynomial_interpolation.py`

Polynomial and Spline interpolation

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_quantile_regression_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_quantile_regression.py`

Quantile regression

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_logistic_path_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_logistic_path.py`

Regularization path of L1- Logistic Regression

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_ridge_coeffs_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_ridge_coeffs.py`

Ridge coefficients as a function of the L2 Regularization

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_robust_fit_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_robust_fit.py`

Robust linear estimator fitting

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_ransac_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_ransac.py`

Robust linear model estimation using RANSAC

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_sgd_separating_hyperplane_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_sgd_separating_hyperplane.py`

SGD: Maximum margin separating hyperplane

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_sgd_penalties_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_sgd_penalties.py`

SGD: Penalties

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_sgd_weighted_samples_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_sgd_weighted_samples.py`

SGD: Weighted samples

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_sgd_loss_functions_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_sgd_loss_functions.py`

SGD: convex loss functions

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_ols_3d_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_ols_3d.py`

Sparsity Example: Fitting only features 1 and 2

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_theilsen_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_theilsen.py`

Theil-Sen Regression

.. only:: html

  .. image:: /auto_examples/linear_model/images/thumb/sphx_glr_plot_tweedie_regression_insurance_claims_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_linear_model_plot_tweedie_regression_insurance_claims.py`

Tweedie regression on insurance claims

Inspection

Examples related to the :mod:`sklearn.inspection` module.

.. only:: html

  .. image:: /auto_examples/inspection/images/thumb/sphx_glr_plot_linear_model_coefficient_interpretation_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_inspection_plot_linear_model_coefficient_interpretation.py`

Common pitfalls in the interpretation of coefficients of linear models

.. only:: html

  .. image:: /auto_examples/inspection/images/thumb/sphx_glr_plot_causal_interpretation_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_inspection_plot_causal_interpretation.py`

Failure of Machine Learning to infer causal effects

.. only:: html

  .. image:: /auto_examples/inspection/images/thumb/sphx_glr_plot_partial_dependence_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_inspection_plot_partial_dependence.py`

Partial Dependence and Individual Conditional Expectation Plots

.. only:: html

  .. image:: /auto_examples/inspection/images/thumb/sphx_glr_plot_permutation_importance_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_inspection_plot_permutation_importance.py`

Permutation Importance vs Random Forest Feature Importance (MDI)

.. only:: html

  .. image:: /auto_examples/inspection/images/thumb/sphx_glr_plot_permutation_importance_multicollinear_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_inspection_plot_permutation_importance_multicollinear.py`

Permutation Importance with Multicollinear or Correlated Features

Kernel Approximation

Examples concerning the :mod:`sklearn.kernel_approximation` module.

.. only:: html

  .. image:: /auto_examples/kernel_approximation/images/thumb/sphx_glr_plot_scalable_poly_kernels_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_kernel_approximation_plot_scalable_poly_kernels.py`

Scalable learning with polynomial kernel approximation

Manifold learning

Examples concerning the :mod:`sklearn.manifold` module.

.. only:: html

  .. image:: /auto_examples/manifold/images/thumb/sphx_glr_plot_compare_methods_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_manifold_plot_compare_methods.py`

Comparison of Manifold Learning methods

.. only:: html

  .. image:: /auto_examples/manifold/images/thumb/sphx_glr_plot_manifold_sphere_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_manifold_plot_manifold_sphere.py`

Manifold Learning methods on a severed sphere

.. only:: html

  .. image:: /auto_examples/manifold/images/thumb/sphx_glr_plot_lle_digits_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_manifold_plot_lle_digits.py`

Manifold learning on handwritten digits: Locally Linear Embedding, Isomap...

.. only:: html

  .. image:: /auto_examples/manifold/images/thumb/sphx_glr_plot_mds_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_manifold_plot_mds.py`

Multi-dimensional scaling

.. only:: html

  .. image:: /auto_examples/manifold/images/thumb/sphx_glr_plot_swissroll_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_manifold_plot_swissroll.py`

Swiss Roll And Swiss-Hole Reduction

.. only:: html

  .. image:: /auto_examples/manifold/images/thumb/sphx_glr_plot_t_sne_perplexity_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_manifold_plot_t_sne_perplexity.py`

t-SNE: The effect of various perplexity values on the shape

Miscellaneous

Miscellaneous and introductory examples for scikit-learn.

.. 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`

Advanced Plotting With Partial Dependence

.. 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`

Comparing anomaly detection algorithms for outlier detection on toy datasets

.. 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`

Comparison of kernel ridge regression and SVR

.. 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`

Displaying Pipelines

.. 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`

Displaying estimators and complex pipelines

.. 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`

Evaluation of outlier detection estimators

.. 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`

Explicit feature map approximation for RBF kernels

.. 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`

Face completion with a multi-output estimators

.. 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`

Introducing the set_output API

.. 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`

Isotonic Regression

.. 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`

Metadata Routing

.. only:: html

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

  :ref:`sphx_glr_auto_examples_miscellaneous_plot_multilabel.py`

Multilabel classification

.. 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`

ROC Curve with Visualization API

.. 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`

The Johnson-Lindenstrauss bound for embedding with random projections

.. 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`

Visualizations with Display Objects

Missing Value Imputation

Examples concerning the :mod:`sklearn.impute` module.

.. only:: html

  .. image:: /auto_examples/impute/images/thumb/sphx_glr_plot_missing_values_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_impute_plot_missing_values.py`

Imputing missing values before building an estimator

.. only:: html

  .. image:: /auto_examples/impute/images/thumb/sphx_glr_plot_iterative_imputer_variants_comparison_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_impute_plot_iterative_imputer_variants_comparison.py`

Imputing missing values with variants of IterativeImputer

Model Selection

Examples related to the :mod:`sklearn.model_selection` module.

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_grid_search_refit_callable_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_refit_callable.py`

Balance model complexity and cross-validated score

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_likelihood_ratios_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_likelihood_ratios.py`

Class Likelihood Ratios to measure classification performance

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_randomized_search_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_randomized_search.py`

Comparing randomized search and grid search for hyperparameter estimation

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_successive_halving_heatmap_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_heatmap.py`

Comparison between grid search and successive halving

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_confusion_matrix_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_confusion_matrix.py`

Confusion matrix

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_grid_search_digits_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_digits.py`

Custom refit strategy of a grid search with cross-validation

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_multi_metric_evaluation_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_multi_metric_evaluation.py`

Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_det_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_det.py`

Detection error tradeoff (DET) curve

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_roc_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_roc.py`

Multiclass Receiver Operating Characteristic (ROC)

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_nested_cross_validation_iris_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_nested_cross_validation_iris.py`

Nested versus non-nested cross-validation

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_cv_predict_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_cv_predict.py`

Plotting Cross-Validated Predictions

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_learning_curve_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_learning_curve.py`

Plotting Learning Curves and Checking Models' Scalability

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_validation_curve_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_validation_curve.py`

Plotting Validation Curves

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_precision_recall_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_precision_recall.py`

Precision-Recall

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_roc_crossval_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_roc_crossval.py`

Receiver Operating Characteristic (ROC) with cross validation

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_grid_search_text_feature_extraction_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_text_feature_extraction.py`

Sample pipeline for text feature extraction and evaluation

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_grid_search_stats_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_stats.py`

Statistical comparison of models using grid search

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_successive_halving_iterations_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_iterations.py`

Successive Halving Iterations

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_permutation_tests_for_classification_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_permutation_tests_for_classification.py`

Test with permutations the significance of a classification score

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_train_error_vs_test_error_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_train_error_vs_test_error.py`

Train error vs Test error

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_underfitting_overfitting_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_underfitting_overfitting.py`

Underfitting vs. Overfitting

.. only:: html

  .. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_cv_indices_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py`

Visualizing cross-validation behavior in scikit-learn

Multiclass methods

Examples concerning the :mod:`sklearn.multiclass` module.

.. only:: html

  .. image:: /auto_examples/multiclass/images/thumb/sphx_glr_plot_multiclass_overview_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_multiclass_plot_multiclass_overview.py`

Overview of multiclass training meta-estimators

Multioutput methods

Examples concerning the :mod:`sklearn.multioutput` module.

.. only:: html

  .. image:: /auto_examples/multioutput/images/thumb/sphx_glr_plot_classifier_chain_yeast_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_multioutput_plot_classifier_chain_yeast.py`

Multilabel classification using a classifier chain

Nearest Neighbors

Examples concerning the :mod:`sklearn.neighbors` module.

.. only:: html

  .. image:: /auto_examples/neighbors/images/thumb/sphx_glr_approximate_nearest_neighbors_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neighbors_approximate_nearest_neighbors.py`

Approximate nearest neighbors in TSNE

.. only:: html

  .. image:: /auto_examples/neighbors/images/thumb/sphx_glr_plot_caching_nearest_neighbors_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neighbors_plot_caching_nearest_neighbors.py`

Caching nearest neighbors

.. only:: html

  .. image:: /auto_examples/neighbors/images/thumb/sphx_glr_plot_nca_classification_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neighbors_plot_nca_classification.py`

Comparing Nearest Neighbors with and without Neighborhood Components Analysis

.. only:: html

  .. image:: /auto_examples/neighbors/images/thumb/sphx_glr_plot_nca_dim_reduction_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neighbors_plot_nca_dim_reduction.py`

Dimensionality Reduction with Neighborhood Components Analysis

.. only:: html

  .. image:: /auto_examples/neighbors/images/thumb/sphx_glr_plot_species_kde_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neighbors_plot_species_kde.py`

Kernel Density Estimate of Species Distributions

.. only:: html

  .. image:: /auto_examples/neighbors/images/thumb/sphx_glr_plot_digits_kde_sampling_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neighbors_plot_digits_kde_sampling.py`

Kernel Density Estimation

.. only:: html

  .. image:: /auto_examples/neighbors/images/thumb/sphx_glr_plot_nearest_centroid_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neighbors_plot_nearest_centroid.py`

Nearest Centroid Classification

.. only:: html

  .. image:: /auto_examples/neighbors/images/thumb/sphx_glr_plot_classification_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neighbors_plot_classification.py`

Nearest Neighbors Classification

.. only:: html

  .. image:: /auto_examples/neighbors/images/thumb/sphx_glr_plot_regression_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neighbors_plot_regression.py`

Nearest Neighbors regression

.. only:: html

  .. image:: /auto_examples/neighbors/images/thumb/sphx_glr_plot_nca_illustration_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neighbors_plot_nca_illustration.py`

Neighborhood Components Analysis Illustration

.. only:: html

  .. image:: /auto_examples/neighbors/images/thumb/sphx_glr_plot_lof_novelty_detection_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neighbors_plot_lof_novelty_detection.py`

Novelty detection with Local Outlier Factor (LOF)

.. only:: html

  .. image:: /auto_examples/neighbors/images/thumb/sphx_glr_plot_lof_outlier_detection_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neighbors_plot_lof_outlier_detection.py`

Outlier detection with Local Outlier Factor (LOF)

.. only:: html

  .. image:: /auto_examples/neighbors/images/thumb/sphx_glr_plot_kde_1d_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neighbors_plot_kde_1d.py`

Simple 1D Kernel Density Estimation

Neural Networks

Examples concerning the :mod:`sklearn.neural_network` module.

.. only:: html

  .. image:: /auto_examples/neural_networks/images/thumb/sphx_glr_plot_mlp_training_curves_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_training_curves.py`

Compare Stochastic learning strategies for MLPClassifier

.. only:: html

  .. image:: /auto_examples/neural_networks/images/thumb/sphx_glr_plot_rbm_logistic_classification_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neural_networks_plot_rbm_logistic_classification.py`

Restricted Boltzmann Machine features for digit classification

.. only:: html

  .. image:: /auto_examples/neural_networks/images/thumb/sphx_glr_plot_mlp_alpha_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_alpha.py`

Varying regularization in Multi-layer Perceptron

.. only:: html

  .. image:: /auto_examples/neural_networks/images/thumb/sphx_glr_plot_mnist_filters_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_neural_networks_plot_mnist_filters.py`

Visualization of MLP weights on MNIST

Pipelines and composite estimators

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

.. only:: html

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

  :ref:`sphx_glr_auto_examples_compose_plot_column_transformer.py`

Column Transformer with Heterogeneous Data Sources

.. only:: html

  .. 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`

Column Transformer with Mixed Types

.. only:: html

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

  :ref:`sphx_glr_auto_examples_compose_plot_feature_union.py`

Concatenating multiple feature extraction methods

.. only:: html

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

  :ref:`sphx_glr_auto_examples_compose_plot_transformed_target.py`

Effect of transforming the targets in regression model

.. only:: html

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

  :ref:`sphx_glr_auto_examples_compose_plot_digits_pipe.py`

Pipelining: chaining a PCA and a logistic regression

.. only:: html

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

  :ref:`sphx_glr_auto_examples_compose_plot_compare_reduction.py`

Selecting dimensionality reduction with Pipeline and GridSearchCV

Preprocessing

Examples concerning the :mod:`sklearn.preprocessing` module.

.. only:: html

  .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_all_scaling_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_preprocessing_plot_all_scaling.py`

Compare the effect of different scalers on data with outliers

.. only:: html

  .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_target_encoder_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder.py`

Comparing Target Encoder with Other Encoders

.. only:: html

  .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_discretization_strategies_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_strategies.py`

Demonstrating the different strategies of KBinsDiscretizer

.. only:: html

  .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_discretization_classification_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_classification.py`

Feature discretization

.. only:: html

  .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_scaling_importance_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_preprocessing_plot_scaling_importance.py`

Importance of Feature Scaling

.. only:: html

  .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_map_data_to_normal_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_preprocessing_plot_map_data_to_normal.py`

Map data to a normal distribution

.. only:: html

  .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_target_encoder_cross_val_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder_cross_val.py`

Target Encoder's Internal Cross fitting

.. only:: html

  .. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_discretization_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization.py`

Using KBinsDiscretizer to discretize continuous features

Semi Supervised Classification

Examples concerning the :mod:`sklearn.semi_supervised` module.

.. only:: html

  .. image:: /auto_examples/semi_supervised/images/thumb/sphx_glr_plot_semi_supervised_versus_svm_iris_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_versus_svm_iris.py`

Decision boundary of semi-supervised classifiers versus SVM on the Iris dataset

.. only:: html

  .. image:: /auto_examples/semi_supervised/images/thumb/sphx_glr_plot_self_training_varying_threshold_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_semi_supervised_plot_self_training_varying_threshold.py`

Effect of varying threshold for self-training

.. only:: html

  .. image:: /auto_examples/semi_supervised/images/thumb/sphx_glr_plot_label_propagation_digits_active_learning_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_digits_active_learning.py`

Label Propagation digits active learning

.. only:: html

  .. image:: /auto_examples/semi_supervised/images/thumb/sphx_glr_plot_label_propagation_digits_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_digits.py`

Label Propagation digits: Demonstrating performance

.. only:: html

  .. image:: /auto_examples/semi_supervised/images/thumb/sphx_glr_plot_label_propagation_structure_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_structure.py`

Label Propagation learning a complex structure

.. only:: html

  .. image:: /auto_examples/semi_supervised/images/thumb/sphx_glr_plot_semi_supervised_newsgroups_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_newsgroups.py`

Semi-supervised Classification on a Text Dataset

Support Vector Machines

Examples concerning the :mod:`sklearn.svm` module.

.. only:: html

  .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_nonlinear_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_svm_plot_svm_nonlinear.py`

Non-linear SVM

.. only:: html

  .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_oneclass_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_svm_plot_oneclass.py`

One-class SVM with non-linear kernel (RBF)

.. only:: html

  .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_kernels_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_svm_plot_svm_kernels.py`

Plot classification boundaries with different SVM Kernels

.. only:: html

  .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_iris_svc_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_svm_plot_iris_svc.py`

Plot different SVM classifiers in the iris dataset

.. only:: html

  .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_linearsvc_support_vectors_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_svm_plot_linearsvc_support_vectors.py`

Plot the support vectors in LinearSVC

.. only:: html

  .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_rbf_parameters_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_svm_plot_rbf_parameters.py`

RBF SVM parameters

.. only:: html

  .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_margin_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_svm_plot_svm_margin.py`

SVM Margins Example

.. only:: html

  .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_tie_breaking_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_svm_plot_svm_tie_breaking.py`

SVM Tie Breaking Example

.. only:: html

  .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_custom_kernel_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_svm_plot_custom_kernel.py`

SVM with custom kernel

.. only:: html

  .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_anova_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_svm_plot_svm_anova.py`

SVM-Anova: SVM with univariate feature selection

.. only:: html

  .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_separating_hyperplane_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane.py`

SVM: Maximum margin separating hyperplane

.. only:: html

  .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_separating_hyperplane_unbalanced_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane_unbalanced.py`

SVM: Separating hyperplane for unbalanced classes

.. only:: html

  .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_weighted_samples_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_svm_plot_weighted_samples.py`

SVM: Weighted samples

.. only:: html

  .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_scale_c_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_svm_plot_svm_scale_c.py`

Scaling the regularization parameter for SVCs

.. only:: html

  .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_regression_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_svm_plot_svm_regression.py`

Support Vector Regression (SVR) using linear and non-linear kernels

Tutorial exercises

Exercises for the tutorials

.. only:: html

  .. image:: /auto_examples/exercises/images/thumb/sphx_glr_plot_cv_diabetes_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_exercises_plot_cv_diabetes.py`

Cross-validation on diabetes Dataset Exercise

.. only:: html

  .. image:: /auto_examples/exercises/images/thumb/sphx_glr_plot_digits_classification_exercise_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_exercises_plot_digits_classification_exercise.py`

Digits Classification Exercise

.. only:: html

  .. image:: /auto_examples/exercises/images/thumb/sphx_glr_plot_iris_exercise_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_exercises_plot_iris_exercise.py`

SVM Exercise

Working with text documents

Examples concerning the :mod:`sklearn.feature_extraction.text` module.

.. only:: html

  .. image:: /auto_examples/text/images/thumb/sphx_glr_plot_document_classification_20newsgroups_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_text_plot_document_classification_20newsgroups.py`

Classification of text documents using sparse features

.. only:: html

  .. image:: /auto_examples/text/images/thumb/sphx_glr_plot_document_clustering_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_text_plot_document_clustering.py`

Clustering text documents using k-means

.. only:: html

  .. image:: /auto_examples/text/images/thumb/sphx_glr_plot_hashing_vs_dict_vectorizer_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py`

FeatureHasher and DictVectorizer Comparison

.. toctree::
   :hidden:
   :includehidden:


   /auto_examples/release_highlights/index.rst
   /auto_examples/bicluster/index.rst
   /auto_examples/calibration/index.rst
   /auto_examples/classification/index.rst
   /auto_examples/cluster/index.rst
   /auto_examples/covariance/index.rst
   /auto_examples/cross_decomposition/index.rst
   /auto_examples/datasets/index.rst
   /auto_examples/tree/index.rst
   /auto_examples/decomposition/index.rst
   /auto_examples/developing_estimators/index.rst
   /auto_examples/ensemble/index.rst
   /auto_examples/applications/index.rst
   /auto_examples/feature_selection/index.rst
   /auto_examples/mixture/index.rst
   /auto_examples/gaussian_process/index.rst
   /auto_examples/linear_model/index.rst
   /auto_examples/inspection/index.rst
   /auto_examples/kernel_approximation/index.rst
   /auto_examples/manifold/index.rst
   /auto_examples/miscellaneous/index.rst
   /auto_examples/impute/index.rst
   /auto_examples/model_selection/index.rst
   /auto_examples/multiclass/index.rst
   /auto_examples/multioutput/index.rst
   /auto_examples/neighbors/index.rst
   /auto_examples/neural_networks/index.rst
   /auto_examples/compose/index.rst
   /auto_examples/preprocessing/index.rst
   /auto_examples/semi_supervised/index.rst
   /auto_examples/svm/index.rst
   /auto_examples/exercises/index.rst
   /auto_examples/text/index.rst

.. only:: html

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

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

      :download:`Download all examples in Python source code: auto_examples_python.zip </auto_examples/auto_examples_python.zip>`

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

      :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip </auto_examples/auto_examples_jupyter.zip>`

.. only:: html

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

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

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

index.rst.txt

index.rst.txt

Examples

Release Highlights

Biclustering

Calibration

Classification

Clustering

Covariance estimation

Cross decomposition

Dataset examples

Decision Trees

Decomposition

Developing Estimators

Ensemble methods

Examples based on real world datasets

Feature Selection

Gaussian Mixture Models

Gaussian Process for Machine Learning

Generalized Linear Models

Inspection

Kernel Approximation

Manifold learning

Miscellaneous

Missing Value Imputation

Model Selection

Multiclass methods

Multioutput methods

Nearest Neighbors

Neural Networks

Pipelines and composite estimators

Preprocessing

Semi Supervised Classification

Support Vector Machines

Tutorial exercises

Working with text documents

Files

index.rst.txt

Latest commit

History

index.rst.txt

File metadata and controls

Examples

Release Highlights

Biclustering

Calibration

Classification

Clustering

Covariance estimation

Cross decomposition

Dataset examples

Decision Trees

Decomposition

Developing Estimators

Ensemble methods

Examples based on real world datasets

Feature Selection

Gaussian Mixture Models

Gaussian Process for Machine Learning

Generalized Linear Models

Inspection

Kernel Approximation

Manifold learning

Miscellaneous

Missing Value Imputation

Model Selection

Multiclass methods

Multioutput methods

Nearest Neighbors

Neural Networks

Pipelines and composite estimators

Preprocessing

Semi Supervised Classification

Support Vector Machines

Tutorial exercises

Working with text documents