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repo stringlengths 7 90	file_url stringlengths 81 315	file_path stringlengths 4 228	content stringlengths 0 32.8k	language stringclasses 1 value	license stringclasses 7 values	commit_sha stringlengths 40 40	retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18	truncated bool 2 classes
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/gaussian_process/plot_gpc.py	examples/gaussian_process/plot_gpc.py	""" ==================================================================== Probabilistic predictions with Gaussian process classification (GPC) ==================================================================== This example illustrates the predicted probability of GPC for an RBF kernel with different choices of the hy...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/gaussian_process/plot_gpc_xor.py	examples/gaussian_process/plot_gpc_xor.py	""" ======================================================================== Illustration of Gaussian process classification (GPC) on the XOR dataset ======================================================================== This example illustrates GPC on XOR data. Compared are a stationary, isotropic kernel (RBF) and ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/gaussian_process/plot_compare_gpr_krr.py	examples/gaussian_process/plot_compare_gpr_krr.py	""" ========================================================== Comparison of kernel ridge and Gaussian process regression ========================================================== This example illustrates differences between a kernel ridge regression and a Gaussian process regression. Both kernel ridge regression an...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/gaussian_process/plot_gpr_co2.py	examples/gaussian_process/plot_gpr_co2.py	""" ==================================================================================== Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR) ==================================================================================== This example is based on Section 5.4.3 of "Gaussian Processe...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/gaussian_process/plot_gpr_noisy.py	examples/gaussian_process/plot_gpr_noisy.py	""" ========================================================================= Ability of Gaussian process regression (GPR) to estimate data noise-level ========================================================================= This example shows the ability of the :class:`~sklearn.gaussian_process.kernels.WhiteKernel` ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/gaussian_process/plot_gpr_on_structured_data.py	examples/gaussian_process/plot_gpr_on_structured_data.py	""" ========================================================================== Gaussian processes on discrete data structures ========================================================================== This example illustrates the use of Gaussian processes for regression and classification tasks on data that are not in...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/gaussian_process/plot_gpc_isoprobability.py	examples/gaussian_process/plot_gpc_isoprobability.py	""" ================================================================= Iso-probability lines for Gaussian Processes classification (GPC) ================================================================= A two-dimensional classification example showing iso-probability lines for the predicted probabilities. """ # Autho...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_likelihood_ratios.py	examples/model_selection/plot_likelihood_ratios.py	""" ============================================================= Class Likelihood Ratios to measure classification performance ============================================================= This example demonstrates the :func:`~sklearn.metrics.class_likelihood_ratios` function, which computes the positive and negative...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_cv_predict.py	examples/model_selection/plot_cv_predict.py	""" ==================================== Plotting Cross-Validated Predictions ==================================== This example shows how to use :func:`~sklearn.model_selection.cross_val_predict` together with :class:`~sklearn.metrics.PredictionErrorDisplay` to visualize prediction errors. """ # Authors: The scikit-l...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_grid_search_stats.py	examples/model_selection/plot_grid_search_stats.py	""" ================================================== Statistical comparison of models using grid search ================================================== This example illustrates how to statistically compare the performance of models trained and evaluated using :class:`~sklearn.model_selection.GridSearchCV`. """ ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_cv_indices.py	examples/model_selection/plot_cv_indices.py	""" Visualizing cross-validation behavior in scikit-learn ===================================================== Choosing the right cross-validation object is a crucial part of fitting a model properly. There are many ways to split data into training and test sets in order to avoid model overfitting, to standardize the...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_permutation_tests_for_classification.py	examples/model_selection/plot_permutation_tests_for_classification.py	""" ================================================================= Test with permutations the significance of a classification score ================================================================= This example demonstrates the use of :func:`~sklearn.model_selection.permutation_test_score` to evaluate the signific...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_grid_search_refit_callable.py	examples/model_selection/plot_grid_search_refit_callable.py	""" ================================================== Balance model complexity and cross-validated score ================================================== This example demonstrates how to balance model complexity and cross-validated score by finding a decent accuracy within 1 standard deviation of the best accuracy ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_roc_crossval.py	examples/model_selection/plot_roc_crossval.py	""" ============================================================= Receiver Operating Characteristic (ROC) with cross validation ============================================================= This example presents how to estimate and visualize the variance of the Receiver Operating Characteristic (ROC) metric using cros...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_det.py	examples/model_selection/plot_det.py	""" ==================================== Detection error tradeoff (DET) curve ==================================== In this example, we compare two binary classification multi-threshold metrics: the Receiver Operating Characteristic (ROC) and the Detection Error Tradeoff (DET). For such purpose, we evaluate two differe...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_successive_halving_iterations.py	examples/model_selection/plot_successive_halving_iterations.py	""" Successive Halving Iterations ============================= This example illustrates how a successive halving search (:class:`~sklearn.model_selection.HalvingGridSearchCV` and :class:`~sklearn.model_selection.HalvingRandomSearchCV`) iteratively chooses the best parameter combination out of multiple candidates. ""...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_confusion_matrix.py	examples/model_selection/plot_confusion_matrix.py	""" ============================================================== Evaluate the performance of a classifier with Confusion Matrix ============================================================== Example of confusion matrix usage to evaluate the quality of the output of a classifier on the iris data set. The diagonal ele...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_tuned_decision_threshold.py	examples/model_selection/plot_tuned_decision_threshold.py	""" ====================================================== Post-hoc tuning the cut-off point of decision function ====================================================== Once a binary classifier is trained, the :term:`predict` method outputs class label predictions corresponding to a thresholding of either the :term:`d...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_randomized_search.py	examples/model_selection/plot_randomized_search.py	""" ========================================================================= Comparing randomized search and grid search for hyperparameter estimation ========================================================================= Compare randomized search and grid search for optimizing hyperparameters of a linear SVM with...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_roc.py	examples/model_selection/plot_roc.py	""" ================================================== Multiclass Receiver Operating Characteristic (ROC) ================================================== This example describes the use of the Receiver Operating Characteristic (ROC) metric to evaluate the quality of multiclass classifiers. ROC curves typically feat...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_train_error_vs_test_error.py	examples/model_selection/plot_train_error_vs_test_error.py	""" ========================================================= Effect of model regularization on training and test error ========================================================= In this example, we evaluate the impact of the regularization parameter in a linear model called :class:`~sklearn.linear_model.ElasticNet`. T...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_learning_curve.py	examples/model_selection/plot_learning_curve.py	""" ========================================================= Plotting Learning Curves and Checking Models' Scalability ========================================================= In this example, we show how to use the class :class:`~sklearn.model_selection.LearningCurveDisplay` to easily plot learning curves. In addit...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_grid_search_digits.py	examples/model_selection/plot_grid_search_digits.py	""" ============================================================ Custom refit strategy of a grid search with cross-validation ============================================================ This examples shows how a classifier is optimized by cross-validation, which is done using the :class:`~sklearn.model_selection.Grid...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_cost_sensitive_learning.py	examples/model_selection/plot_cost_sensitive_learning.py	""" ============================================================== Post-tuning the decision threshold for cost-sensitive learning ============================================================== Once a classifier is trained, the output of the :term:`predict` method outputs class label predictions corresponding to a thre...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_grid_search_text_feature_extraction.py	examples/model_selection/plot_grid_search_text_feature_extraction.py	""" ========================================================== Sample pipeline for text feature extraction and evaluation ========================================================== The dataset used in this example is :ref:`20newsgroups_dataset` which will be automatically downloaded, cached and reused for the document...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_successive_halving_heatmap.py	examples/model_selection/plot_successive_halving_heatmap.py	""" Comparison between grid search and successive halving ===================================================== This example compares the parameter search performed by :class:`~sklearn.model_selection.HalvingGridSearchCV` and :class:`~sklearn.model_selection.GridSearchCV`. """ # Authors: The scikit-learn developers ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_nested_cross_validation_iris.py	examples/model_selection/plot_nested_cross_validation_iris.py	""" ========================================= Nested versus non-nested cross-validation ========================================= This example compares non-nested and nested cross-validation strategies on a classifier of the iris data set. Nested cross-validation (CV) is often used to train a model in which hyperparam...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_multi_metric_evaluation.py	examples/model_selection/plot_multi_metric_evaluation.py	""" ============================================================================ Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV ============================================================================ Multiple metric parameter search can be done by setting the ``scoring`` parameter to...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_underfitting_overfitting.py	examples/model_selection/plot_underfitting_overfitting.py	""" ============================ Underfitting vs. Overfitting ============================ This example demonstrates the problems of underfitting and overfitting and how we can use linear regression with polynomial features to approximate nonlinear functions. The plot shows the function that we want to approximate, wh...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/model_selection/plot_precision_recall.py	examples/model_selection/plot_precision_recall.py	""" ================ Precision-Recall ================ Example of Precision-Recall metric to evaluate classifier output quality. Precision-Recall is a useful measure of success of prediction when the classes are very imbalanced. In information retrieval, precision is a measure of the fraction of relevant items among ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_forest_hist_grad_boosting_comparison.py	examples/ensemble/plot_forest_hist_grad_boosting_comparison.py	""" =============================================================== Comparing Random Forests and Histogram Gradient Boosting models =============================================================== In this example we compare the performance of Random Forest (RF) and Histogram Gradient Boosting (HGBT) models in terms of ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_random_forest_embedding.py	examples/ensemble/plot_random_forest_embedding.py	""" ========================================================= Hashing feature transformation using Totally Random Trees ========================================================= RandomTreesEmbedding provides a way to map data to a very high-dimensional, sparse representation, which might be beneficial for classificati...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_stack_predictors.py	examples/ensemble/plot_stack_predictors.py	""" ================================= Combine predictors using stacking ================================= .. currentmodule:: sklearn Stacking refers to a method to blend estimators. In this strategy, some estimators are individually fitted on some training data while a final estimator is trained using the stacked pre...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_adaboost_multiclass.py	examples/ensemble/plot_adaboost_multiclass.py	""" ===================================== Multi-class AdaBoosted Decision Trees ===================================== This example shows how boosting can improve the prediction accuracy on a multi-label classification problem. It reproduces a similar experiment as depicted by Figure 1 in Zhu et al [1]_. The core prin...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_gradient_boosting_regression.py	examples/ensemble/plot_gradient_boosting_regression.py	""" ============================ Gradient Boosting regression ============================ This example demonstrates Gradient Boosting to produce a predictive model from an ensemble of weak predictive models. Gradient boosting can be used for regression and classification problems. Here, we will train a model to tackl...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_voting_decision_regions.py	examples/ensemble/plot_voting_decision_regions.py	""" =============================================================== Visualizing the probabilistic predictions of a VotingClassifier =============================================================== .. currentmodule:: sklearn Plot the predicted class probabilities in a toy dataset predicted by three different classifier...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_gradient_boosting_quantile.py	examples/ensemble/plot_gradient_boosting_quantile.py	""" ===================================================== Prediction Intervals for Gradient Boosting Regression ===================================================== This example shows how quantile regression can be used to create prediction intervals. See :ref:`sphx_glr_auto_examples_ensemble_plot_hgbt_regression.py`...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_voting_regressor.py	examples/ensemble/plot_voting_regressor.py	""" ================================================= Plot individual and voting regression predictions ================================================= .. currentmodule:: sklearn A voting regressor is an ensemble meta-estimator that fits several base regressors, each on the whole dataset. Then it averages the indiv...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_feature_transformation.py	examples/ensemble/plot_feature_transformation.py	""" =============================================== Feature transformations with ensembles of trees =============================================== Transform your features into a higher dimensional, sparse space. Then train a linear model on these features. First fit an ensemble of trees (totally random trees, a rand...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_random_forest_regression_multioutput.py	examples/ensemble/plot_random_forest_regression_multioutput.py	""" ============================================================ Comparing random forests and the multi-output meta estimator ============================================================ An example to compare multi-output regression with random forest and the :ref:`multioutput.MultiOutputRegressor <multiclass>` meta-e...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_gradient_boosting_oob.py	examples/ensemble/plot_gradient_boosting_oob.py	""" ====================================== Gradient Boosting Out-of-Bag estimates ====================================== Out-of-bag (OOB) estimates can be a useful heuristic to estimate the "optimal" number of boosting iterations. OOB estimates are almost identical to cross-validation estimates but they can be computed...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_hgbt_regression.py	examples/ensemble/plot_hgbt_regression.py	""" ============================================== Features in Histogram Gradient Boosting Trees ============================================== :ref:`histogram_based_gradient_boosting` (HGBT) models may be one of the most useful supervised learning models in scikit-learn. They are based on a modern gradient boosting i...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_isolation_forest.py	examples/ensemble/plot_isolation_forest.py	""" ======================= IsolationForest example ======================= An example using :class:`~sklearn.ensemble.IsolationForest` for anomaly detection. The :ref:`isolation_forest` is an ensemble of "Isolation Trees" that "isolate" observations by recursive random partitioning, which can be represented by a tre...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_forest_iris.py	examples/ensemble/plot_forest_iris.py	""" ==================================================================== Plot the decision surfaces of ensembles of trees on the iris dataset ==================================================================== Plot the decision surfaces of forests of randomized trees trained on pairs of features of the iris dataset. ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_forest_importances.py	examples/ensemble/plot_forest_importances.py	""" ========================================== Feature importances with a forest of trees ========================================== This example shows the use of a forest of trees to evaluate the importance of features on an artificial classification task. The blue bars are the feature importances of the forest, alon...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_bias_variance.py	examples/ensemble/plot_bias_variance.py	""" ============================================================ Single estimator versus bagging: bias-variance decomposition ============================================================ This example illustrates and compares the bias-variance decomposition of the expected mean squared error of a single estimator again...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_monotonic_constraints.py	examples/ensemble/plot_monotonic_constraints.py	""" ===================== Monotonic Constraints ===================== This example illustrates the effect of monotonic constraints on a gradient boosting estimator. We build an artificial dataset where the target value is in general positively correlated with the first feature (with some random and non-random variati...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_adaboost_twoclass.py	examples/ensemble/plot_adaboost_twoclass.py	""" ================== Two-class AdaBoost ================== This example fits an AdaBoosted decision stump on a non-linearly separable classification dataset composed of two "Gaussian quantiles" clusters (see :func:`sklearn.datasets.make_gaussian_quantiles`) and plots the decision boundary and decision scores. The di...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_gradient_boosting_categorical.py	examples/ensemble/plot_gradient_boosting_categorical.py	""" ================================================ Categorical Feature Support in Gradient Boosting ================================================ .. currentmodule:: sklearn In this example, we compare the training times and prediction performances of :class:`~ensemble.HistGradientBoostingRegressor` with differen...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_gradient_boosting_regularization.py	examples/ensemble/plot_gradient_boosting_regularization.py	""" ================================ Gradient Boosting regularization ================================ Illustration of the effect of different regularization strategies for Gradient Boosting. The example is taken from Hastie et al 2009 [1]_. The loss function used is binomial deviance. Regularization via shrinkage (`...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_gradient_boosting_early_stopping.py	examples/ensemble/plot_gradient_boosting_early_stopping.py	""" =================================== Early stopping in Gradient Boosting =================================== Gradient Boosting is an ensemble technique that combines multiple weak learners, typically decision trees, to create a robust and powerful predictive model. It does so in an iterative fashion, where each new...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_ensemble_oob.py	examples/ensemble/plot_ensemble_oob.py	""" ============================= OOB Errors for Random Forests ============================= The ``RandomForestClassifier`` is trained using bootstrap aggregation, where each new tree is fit from a bootstrap sample of the training observations :math:`z_i = (x_i, y_i)`. The out-of-bag (OOB) error is the average er...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/ensemble/plot_adaboost_regression.py	examples/ensemble/plot_adaboost_regression.py	""" ====================================== Decision Tree Regression with AdaBoost ====================================== A decision tree is boosted using the AdaBoost.R2 [1]_ algorithm on a 1D sinusoidal dataset with a small amount of Gaussian noise. 299 boosts (300 decision trees) is compared with a single decision t...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neighbors/plot_lof_novelty_detection.py	examples/neighbors/plot_lof_novelty_detection.py	""" ================================================= Novelty detection with Local Outlier Factor (LOF) ================================================= The Local Outlier Factor (LOF) algorithm is an unsupervised anomaly detection method which computes the local density deviation of a given data point with respect to...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neighbors/plot_classification.py	examples/neighbors/plot_classification.py	""" ================================ Nearest Neighbors Classification ================================ This example shows how to use :class:`~sklearn.neighbors.KNeighborsClassifier`. We train such a classifier on the iris dataset and observe the difference of the decision boundary obtained with regards to the paramete...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neighbors/plot_nca_illustration.py	examples/neighbors/plot_nca_illustration.py	""" ============================================= Neighborhood Components Analysis Illustration ============================================= This example illustrates a learned distance metric that maximizes the nearest neighbors classification accuracy. It provides a visual representation of this metric compared to t...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neighbors/approximate_nearest_neighbors.py	examples/neighbors/approximate_nearest_neighbors.py	""" ===================================== Approximate nearest neighbors in TSNE ===================================== This example presents how to chain KNeighborsTransformer and TSNE in a pipeline. It also shows how to wrap the packages `nmslib` and `pynndescent` to replace KNeighborsTransformer and perform approxima...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neighbors/plot_caching_nearest_neighbors.py	examples/neighbors/plot_caching_nearest_neighbors.py	""" ========================= Caching nearest neighbors ========================= This example demonstrates how to precompute the k nearest neighbors before using them in KNeighborsClassifier. KNeighborsClassifier can compute the nearest neighbors internally, but precomputing them can have several benefits, such as fi...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neighbors/plot_nearest_centroid.py	examples/neighbors/plot_nearest_centroid.py	""" =============================== Nearest Centroid Classification =============================== Sample usage of Nearest Centroid classification. It will plot the decision boundaries for each class. """ # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause import matplotlib.pyplot as plt...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neighbors/plot_nca_classification.py	examples/neighbors/plot_nca_classification.py	""" ============================================================================= Comparing Nearest Neighbors with and without Neighborhood Components Analysis ============================================================================= An example comparing nearest neighbors classification with and without Neighborho...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neighbors/plot_lof_outlier_detection.py	examples/neighbors/plot_lof_outlier_detection.py	""" ================================================= Outlier detection with Local Outlier Factor (LOF) ================================================= The Local Outlier Factor (LOF) algorithm is an unsupervised anomaly detection method which computes the local density deviation of a given data point with respect to...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neighbors/plot_regression.py	examples/neighbors/plot_regression.py	""" ============================ Nearest Neighbors regression ============================ Demonstrate the resolution of a regression problem using a k-Nearest Neighbor and the interpolation of the target using both barycenter and constant weights. """ # Authors: The scikit-learn developers # SPDX-License-Identifier:...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neighbors/plot_kde_1d.py	examples/neighbors/plot_kde_1d.py	""" =================================== Simple 1D Kernel Density Estimation =================================== This example uses the :class:`~sklearn.neighbors.KernelDensity` class to demonstrate the principles of Kernel Density Estimation in one dimension. The first plot shows one of the problems with using histogra...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neighbors/plot_species_kde.py	examples/neighbors/plot_species_kde.py	""" ================================================ Kernel Density Estimate of Species Distributions ================================================ This shows an example of a neighbors-based query (in particular a kernel density estimate) on geospatial data, using a Ball Tree built upon the Haversine distance metric...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neighbors/plot_digits_kde_sampling.py	examples/neighbors/plot_digits_kde_sampling.py	""" ========================= Kernel Density Estimation ========================= This example shows how kernel density estimation (KDE), a powerful non-parametric density estimation technique, can be used to learn a generative model for a dataset. With this generative model in place, new samples can be drawn. These...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/neighbors/plot_nca_dim_reduction.py	examples/neighbors/plot_nca_dim_reduction.py	""" ============================================================== Dimensionality Reduction with Neighborhood Components Analysis ============================================================== Sample usage of Neighborhood Components Analysis for dimensionality reduction. This example compares different (linear) dimen...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/covariance/plot_lw_vs_oas.py	examples/covariance/plot_lw_vs_oas.py	""" ============================= Ledoit-Wolf vs OAS estimation ============================= The usual covariance maximum likelihood estimate can be regularized using shrinkage. Ledoit and Wolf proposed a close formula to compute the asymptotically optimal shrinkage parameter (minimizing a MSE criterion), yielding th...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/covariance/plot_covariance_estimation.py	examples/covariance/plot_covariance_estimation.py	""" ======================================================================= Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihood ======================================================================= When working with covariance estimation, the usual approach is to use a maximum likelihood estimator,...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/covariance/plot_mahalanobis_distances.py	examples/covariance/plot_mahalanobis_distances.py	r""" ================================================================ Robust covariance estimation and Mahalanobis distances relevance ================================================================ This example shows covariance estimation with Mahalanobis distances on Gaussian distributed data. For Gaussian distrib...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/covariance/plot_robust_vs_empirical_covariance.py	examples/covariance/plot_robust_vs_empirical_covariance.py	r""" ======================================= Robust vs Empirical covariance estimate ======================================= The usual covariance maximum likelihood estimate is very sensitive to the presence of outliers in the data set. In such a case, it would be better to use a robust estimator of covariance to guar...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/covariance/plot_sparse_cov.py	examples/covariance/plot_sparse_cov.py	""" ====================================== Sparse inverse covariance estimation ====================================== Using the GraphicalLasso estimator to learn a covariance and sparse precision from a small number of samples. To estimate a probabilistic model (e.g. a Gaussian model), estimating the precision matri...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/feature_selection/plot_rfe_with_cross_validation.py	examples/feature_selection/plot_rfe_with_cross_validation.py	""" =================================================== Recursive feature elimination with cross-validation =================================================== A Recursive Feature Elimination (RFE) example with automatic tuning of the number of features selected with cross-validation. """ # Authors: The scikit-learn...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/feature_selection/plot_feature_selection_pipeline.py	examples/feature_selection/plot_feature_selection_pipeline.py	""" ================== Pipeline ANOVA SVM ================== This example shows how a feature selection can be easily integrated within a machine learning pipeline. We also show that you can easily inspect part of the pipeline. """ # Authors: The scikit-learn developers # SPDX-License-Identifier: BSD-3-Clause # %%...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/feature_selection/plot_feature_selection.py	examples/feature_selection/plot_feature_selection.py	""" ============================ Univariate Feature Selection ============================ This notebook is an example of using univariate feature selection to improve classification accuracy on a noisy dataset. In this example, some noisy (non informative) features are added to the iris dataset. Support vector machi...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/feature_selection/plot_rfe_digits.py	examples/feature_selection/plot_rfe_digits.py	""" ============================= Recursive feature elimination ============================= This example demonstrates how Recursive Feature Elimination (:class:`~sklearn.feature_selection.RFE`) can be used to determine the importance of individual pixels for classifying handwritten digits. :class:`~sklearn.feature_s...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/feature_selection/plot_f_test_vs_mi.py	examples/feature_selection/plot_f_test_vs_mi.py	""" =========================================== Comparison of F-test and mutual information =========================================== This example illustrates the differences between univariate F-test statistics and mutual information. We consider 3 features x_1, x_2, x_3 distributed uniformly over [0, 1], the targ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/feature_selection/plot_select_from_model_diabetes.py	examples/feature_selection/plot_select_from_model_diabetes.py	""" ============================================ Model-based and sequential feature selection ============================================ This example illustrates and compares two approaches for feature selection: :class:`~sklearn.feature_selection.SelectFromModel` which is based on feature importance, and :class:`~s...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/impute/plot_missing_values.py	examples/impute/plot_missing_values.py	""" ==================================================== Imputing missing values before building an estimator ==================================================== Missing values can be replaced by the mean, the median or the most frequent value using the basic :class:`~sklearn.impute.SimpleImputer`. In this example w...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/impute/plot_iterative_imputer_variants_comparison.py	examples/impute/plot_iterative_imputer_variants_comparison.py	""" ========================================================= Imputing missing values with variants of IterativeImputer ========================================================= .. currentmodule:: sklearn The :class:`~impute.IterativeImputer` class is very flexible - it can be used with a variety of estimators to do ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/mixture/plot_gmm_init.py	examples/mixture/plot_gmm_init.py	""" ========================== GMM Initialization Methods ========================== Examples of the different methods of initialization in Gaussian Mixture Models See :ref:`gmm` for more information on the estimator. Here we generate some sample data with four easy to identify clusters. The purpose of this example ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/mixture/plot_gmm_pdf.py	examples/mixture/plot_gmm_pdf.py	""" ========================================= Density Estimation for a Gaussian mixture ========================================= Plot the density estimation of a mixture of two Gaussians. Data is generated from two Gaussians with different centers and covariance matrices. """ # Authors: The scikit-learn developers ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/mixture/plot_concentration_prior.py	examples/mixture/plot_concentration_prior.py	""" ======================================================================== Concentration Prior Type Analysis of Variation Bayesian Gaussian Mixture ======================================================================== This example plots the ellipsoids obtained from a toy dataset (mixture of three Gaussians) fitte...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/mixture/plot_gmm.py	examples/mixture/plot_gmm.py	""" ================================= Gaussian Mixture Model Ellipsoids ================================= Plot the confidence ellipsoids of a mixture of two Gaussians obtained with Expectation Maximisation (``GaussianMixture`` class) and Variational Inference (``BayesianGaussianMixture`` class models with a Dirichlet ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/mixture/plot_gmm_selection.py	examples/mixture/plot_gmm_selection.py	""" ================================ Gaussian Mixture Model Selection ================================ This example shows that model selection can be performed with Gaussian Mixture Models (GMM) using :ref:`information-theory criteria <aic_bic>`. Model selection concerns both the covariance type and the number of comp...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/mixture/plot_gmm_sin.py	examples/mixture/plot_gmm_sin.py	""" ================================= Gaussian Mixture Model Sine Curve ================================= This example demonstrates the behavior of Gaussian mixture models fit on data that was not sampled from a mixture of Gaussian random variables. The dataset is formed by 100 points loosely spaced following a noisy ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/mixture/plot_gmm_covariances.py	examples/mixture/plot_gmm_covariances.py	""" =============== GMM covariances =============== Demonstration of several covariances types for Gaussian mixture models. See :ref:`gmm` for more information on the estimator. Although GMM are often used for clustering, we can compare the obtained clusters with the actual classes from the dataset. We initialize th...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/miscellaneous/plot_set_output.py	examples/miscellaneous/plot_set_output.py	""" ================================ Introducing the `set_output` API ================================ .. currentmodule:: sklearn This example will demonstrate the `set_output` API to configure transformers to output pandas DataFrames. `set_output` can be configured per estimator by calling the `set_output` method or...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/miscellaneous/plot_partial_dependence_visualization_api.py	examples/miscellaneous/plot_partial_dependence_visualization_api.py	""" ========================================= Advanced Plotting With Partial Dependence ========================================= The :class:`~sklearn.inspection.PartialDependenceDisplay` object can be used for plotting without needing to recalculate the partial dependence. In this example, we show how to plot partial ...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/miscellaneous/plot_outlier_detection_bench.py	examples/miscellaneous/plot_outlier_detection_bench.py	""" ========================================== Evaluation of outlier detection estimators ========================================== This example compares two outlier detection algorithms, namely :ref:`local_outlier_factor` (LOF) and :ref:`isolation_forest` (IForest), on real-world datasets available in :class:`sklear...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/miscellaneous/plot_metadata_routing.py	examples/miscellaneous/plot_metadata_routing.py	""" ================ Metadata Routing ================ .. currentmodule:: sklearn This document shows how you can use the :ref:`metadata routing mechanism <metadata_routing>` in scikit-learn to route metadata to the estimators, scorers, and CV splitters consuming them. To better understand the following document, we...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/miscellaneous/plot_multilabel.py	examples/miscellaneous/plot_multilabel.py	""" ========================= Multilabel classification ========================= This example simulates a multi-label document classification problem. The dataset is generated randomly based on the following process: - pick the number of labels: n ~ Poisson(n_labels) - n times, choose a class c: c ~ Multinomial(thet...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/miscellaneous/plot_roc_curve_visualization_api.py	examples/miscellaneous/plot_roc_curve_visualization_api.py	""" ================================ ROC Curve with Visualization API ================================ Scikit-learn defines a simple API for creating visualizations for machine learning. The key features of this API is to allow for quick plotting and visual adjustments without recalculation. In this example, we will de...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/miscellaneous/plot_multioutput_face_completion.py	examples/miscellaneous/plot_multioutput_face_completion.py	""" ============================================== Face completion with a multi-output estimators ============================================== This example shows the use of multi-output estimator to complete images. The goal is to predict the lower half of a face given its upper half. The first column of images sho...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/miscellaneous/plot_anomaly_comparison.py	examples/miscellaneous/plot_anomaly_comparison.py	""" ============================================================================ Comparing anomaly detection algorithms for outlier detection on toy datasets ============================================================================ This example shows characteristics of different anomaly detection algorithms on 2D d...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/miscellaneous/plot_isotonic_regression.py	examples/miscellaneous/plot_isotonic_regression.py	""" =================== Isotonic Regression =================== An illustration of the isotonic regression on generated data (non-linear monotonic trend with homoscedastic uniform noise). The isotonic regression algorithm finds a non-decreasing approximation of a function while minimizing the mean squared error on th...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/miscellaneous/plot_kernel_ridge_regression.py	examples/miscellaneous/plot_kernel_ridge_regression.py	""" ============================================= Comparison of kernel ridge regression and SVR ============================================= Both kernel ridge regression (KRR) and SVR learn a non-linear function by employing the kernel trick, i.e., they learn a linear function in the space induced by the respective k...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/miscellaneous/plot_display_object_visualization.py	examples/miscellaneous/plot_display_object_visualization.py	""" =================================== Visualizations with Display Objects =================================== .. currentmodule:: sklearn.metrics In this example, we will construct display objects, :class:`ConfusionMatrixDisplay`, :class:`RocCurveDisplay`, and :class:`PrecisionRecallDisplay` directly from their resp...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/miscellaneous/plot_kernel_approximation.py	examples/miscellaneous/plot_kernel_approximation.py	""" ================================================== Explicit feature map approximation for RBF kernels ================================================== An example illustrating the approximation of the feature map of an RBF kernel. .. currentmodule:: sklearn.kernel_approximation It shows how to use :class:`RBFSa...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/miscellaneous/plot_johnson_lindenstrauss_bound.py	examples/miscellaneous/plot_johnson_lindenstrauss_bound.py	r""" ===================================================================== The Johnson-Lindenstrauss bound for embedding with random projections ===================================================================== The `Johnson-Lindenstrauss lemma`_ states that any high dimensional dataset can be randomly projected i...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false
scikit-learn/scikit-learn	https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/examples/miscellaneous/plot_pipeline_display.py	examples/miscellaneous/plot_pipeline_display.py	""" ================================================================= Displaying Pipelines ================================================================= The default configuration for displaying a pipeline in a Jupyter Notebook is `'diagram'` where `set_config(display='diagram')`. To deactivate HTML representation,...	python	BSD-3-Clause	6dce55ebff962076625db46ab70b6b1c939f423b	2026-01-04T14:38:25.175347Z	false

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