Scikit Learn Docs

Scikit Learn Docs Documentation

Comprehensive reference documentation for Scikit Learn Docs.

Original Sources:

• https://scikit-learn.org/stable/documentation.html

Contains: 181 markdown files with full folder structure (crawled at depth 2). Last updated: March 08, 2026

📚 Table of Contents

• 📁 api_index.html/
  • API Reference#
  • Api Referencehttpsscikit Learn.Orgstableapiindex.Htmlapi Reference Link To This Heading Pt2
  • Api Referencehttpsscikit Learn.Orgstableapiindex.Htmlapi Reference Link To This Heading Pt3
  • Api Referencehttpsscikit Learn.Orgstableapiindex.Htmlapi Reference Link To This Heading Pt4
  • Api Referencehttpsscikit Learn.Orgstableapiindex.Htmlapi Reference Link To This Heading Pt5
  • Api Referencehttpsscikit Learn.Orgstableapiindex.Htmlapi Reference Link To This Heading Pt6
  • Api Referencehttpsscikit Learn.Orgstableapiindex.Htmlapi Reference Link To This Heading Pt7
  • Api Referencehttpsscikit Learn.Orgstableapiindex.Htmlapi Reference Link To This Heading Pt8
  • Api Referencehttpsscikit Learn.Orgstableapiindex.Htmlapi Reference Link To This Heading Pt9
  • Api Index.Html Pt1
  • Api Index.Html Pt2
  • Api Index.Html Pt3
  • Table of Contents
• 📁 auto_examples_classification_plot_classifier_comparison.html/
  • Classifier comparison#
  • Auto Examples Classification Plot Classifier Comparison.Html
  • Table of Contents
• 📁 auto_examples_cluster_index.html/
  • Clustering#
  • Auto Examples Cluster Index.Html
  • Table of Contents
• 📁 auto_examples_decomposition_plot_pca_iris.html/
  • Kernel PCA#
  • Auto Examples Decomposition Plot Pca Iris.Html
  • Table of Contents
• 📁 auto_examples_ensemble_plot_hgbt_regression.html/
  • Feature importances with a forest of trees#
  • Auto Examples Ensemble Plot Hgbt Regression.Html
  • Table of Contents
• 📁 auto_examples_index.html/
  • 📁 Exampleshttpsscikit-learn.orgstableauto_examplesindex.htmlexamples-Link-to-this-heading/
    • Biclusteringhttpsscikit Learn.Orgstableauto Examplesindex.Htmlbiclustering Link To This Heading
    • Calibrationhttpsscikit Learn.Orgstableauto Examplesindex.Htmlcalibration Link To This Heading
    • Classificationhttpsscikit Learn.Orgstableauto Examplesindex.Htmlclassification Link To This Heading
    • Clusteringhttpsscikit Learn.Orgstableauto Examplesindex.Htmlclustering Link To This Heading
    • Covariance Estimationhttpsscikit Learn.Orgstableauto Examplesindex.Htmlcovariance Estimation Link To This Heading
    • Cross Decompositionhttpsscikit Learn.Orgstableauto Examplesindex.Htmlcross Decomposition Link To This Heading
    • Dataset Exampleshttpsscikit Learn.Orgstableauto Examplesindex.Htmldataset Examples Link To This Heading
    • Decision Treeshttpsscikit Learn.Orgstableauto Examplesindex.Htmldecision Trees Link To This Heading
    • Decompositionhttpsscikit Learn.Orgstableauto Examplesindex.Htmldecomposition Link To This Heading
    • Developing Estimatorshttpsscikit Learn.Orgstableauto Examplesindex.Htmldeveloping Estimators Link To This Heading
    • Ensemble Methodshttpsscikit Learn.Orgstableauto Examplesindex.Htmlensemble Methods Link To This Heading
    • Examples Based On Real World Datasetshttpsscikit Learn.Orgstableauto Examplesindex.Htmlexamples Based On Real World Datasets Link To This Heading
    • Feature Selectionhttpsscikit Learn.Orgstableauto Examplesindex.Htmlfeature Selection Link To This Heading
    • Frozen Estimatorshttpsscikit Learn.Orgstableauto Examplesindex.Htmlfrozen Estimators Link To This Heading
    • Gaussian Mixture Modelshttpsscikit Learn.Orgstableauto Examplesindex.Htmlgaussian Mixture Models Link To This Heading
    • Gaussian Process For Machine Learninghttpsscikit Learn.Orgstableauto Examplesindex.Htmlgaussian Process For Machine Learning Link To This Heading
    • Generalized Linear Modelshttpsscikit Learn.Orgstableauto Examplesindex.Htmlgeneralized Linear Models Link To This Heading
    • Inspectionhttpsscikit Learn.Orgstableauto Examplesindex.Htmlinspection Link To This Heading
    • Kernel Approximationhttpsscikit Learn.Orgstableauto Examplesindex.Htmlkernel Approximation Link To This Heading
    • Manifold Learninghttpsscikit Learn.Orgstableauto Examplesindex.Htmlmanifold Learning Link To This Heading
    • Miscellaneoushttpsscikit Learn.Orgstableauto Examplesindex.Htmlmiscellaneous Link To This Heading
    • Missing Value Imputationhttpsscikit Learn.Orgstableauto Examplesindex.Htmlmissing Value Imputation Link To This Heading
    • Model Selectionhttpsscikit Learn.Orgstableauto Examplesindex.Htmlmodel Selection Link To This Heading
    • Multiclass Methodshttpsscikit Learn.Orgstableauto Examplesindex.Htmlmulticlass Methods Link To This Heading
    • Multioutput Methodshttpsscikit Learn.Orgstableauto Examplesindex.Htmlmultioutput Methods Link To This Heading
    • Nearest Neighborshttpsscikit Learn.Orgstableauto Examplesindex.Htmlnearest Neighbors Link To This Heading
    • Neural Networkshttpsscikit Learn.Orgstableauto Examplesindex.Htmlneural Networks Link To This Heading
    • Pipelines And Composite Estimatorshttpsscikit Learn.Orgstableauto Examplesindex.Htmlpipelines And Composite Estimators Link To This Heading
    • Preprocessinghttpsscikit Learn.Orgstableauto Examplesindex.Htmlpreprocessing Link To This Heading
    • Release Highlightshttpsscikit Learn.Orgstableauto Examplesindex.Htmlrelease Highlights Link To This Heading
    • Semi Supervised Classificationhttpsscikit Learn.Orgstableauto Examplesindex.Htmlsemi Supervised Classification Link To This Heading
    • Support Vector Machineshttpsscikit Learn.Orgstableauto Examplesindex.Htmlsupport Vector Machines Link To This Heading
    • Working With Text Documentshttpsscikit Learn.Orgstableauto Examplesindex.Htmlworking With Text Documents Link To This Heading
  • Examples#
  • Auto Examples Index.Html
  • Table of Contents
• 📁 auto_examples_release_highlights_plot_release_highlights_1_8_0.html/
  • Release Highlights for scikit-learn 1.8#
  • Auto Examples Release Highlights Plot Release Highlights 1 8 0.Html
  • Table of Contents
• 📁 glossary.html/
  • 📁 Glossary-of-Common-Terms-and-API-Elementshttpsscikit-learn.orgstableglossary.htmlglossary-of-common-terms-and-api-elements-Link-to-this-heading/
    • Attributeshttpsscikit Learn.Orgstableglossary.Htmlattributes Link To This Heading
    • Class Apis And Estimator Typeshttpsscikit Learn.Orgstableglossary.Htmlclass Apis And Estimator Types Link To This Heading
    • Data And Sample Propertieshttpsscikit Learn.Orgstableglossary.Htmldata And Sample Properties Link To This Heading
    • Metadata Routinghttpsscikit Learn.Orgstableglossary.Htmlmetadata Routing Link To This Heading
    • Methodshttpsscikit Learn.Orgstableglossary.Htmlmethods Link To This Heading
    • Parametershttpsscikit Learn.Orgstableglossary.Htmlparameters Link To This Heading
    • Target Typeshttpsscikit Learn.Orgstableglossary.Htmltarget Types Link To This Heading
  • General Conceptshttpsscikit Learn.Orgstableglossary.Htmlgeneral Concepts Link To This Heading Pt1
  • General Conceptshttpsscikit Learn.Orgstableglossary.Htmlgeneral Concepts Link To This Heading Pt2
  • General Conceptshttpsscikit Learn.Orgstableglossary.Htmlgeneral Concepts Link To This Heading Pt3
  • Glossary of Common Terms and API Elements#
  • Glossary.Html
  • Table of Contents
• 📁 modules_clustering.html/
  • 📁 2.3.-Clusteringhttpsscikit-learn.orgstablemodulesclustering.htmlclustering-Link-to-this-heading/
    • 2.3.1. Overview Of Clustering Methodshttpsscikit Learn.Orgstablemodulesclustering.Htmloverview Of Clustering Methods Link To This Heading
    • 2.3.10. Birchhttpsscikit Learn.Orgstablemodulesclustering.Htmlbirch Link To This Heading
    • 2.3.11. Clustering Performance Evaluationhttpsscikit Learn.Orgstablemodulesclustering.Htmlclustering Performance Evaluation Link To This Heading
    • 2.3.2. K Meanshttpsscikit Learn.Orgstablemodulesclustering.Htmlk Means Link To This Heading
    • 2.3.3. Affinity Propagationhttpsscikit Learn.Orgstablemodulesclustering.Htmlaffinity Propagation Link To This Heading
    • 2.3.4. Mean Shifthttpsscikit Learn.Orgstablemodulesclustering.Htmlmean Shift Link To This Heading
    • 2.3.5. Spectral Clusteringhttpsscikit Learn.Orgstablemodulesclustering.Htmlspectral Clustering Link To This Heading
    • 2.3.6. Hierarchical Clusteringhttpsscikit Learn.Orgstablemodulesclustering.Htmlhierarchical Clustering Link To This Heading
    • 2.3.7. Dbscanhttpsscikit Learn.Orgstablemodulesclustering.Htmldbscan Link To This Heading
    • 2.3.8. Hdbscanhttpsscikit Learn.Orgstablemodulesclustering.Htmlhdbscan Link To This Heading
    • 2.3.9. Opticshttpsscikit Learn.Orgstablemodulesclustering.Htmloptics Link To This Heading
  • 2.3. Clustering#
  • Modules Clustering.Html
  • Table of Contents
• 📁 modules_cross_validation.html/
  • 📁 3.1.-Cross-validation-evaluating-estimator-performancehttpsscikit-learn.orgstablemodulescross_validation.htmlcross-validation-evaluating-estimator-performance-Link-to-this-heading/
    • 3.1.1. Computing Cross Validated Metricshttpsscikit Learn.Orgstablemodulescross Validation.Htmlcomputing Cross Validated Metrics Link To This Heading
    • 3.1.2. Cross Validation Iteratorshttpsscikit Learn.Orgstablemodulescross Validation.Htmlcross Validation Iterators Link To This Heading
    • 3.1.3. A Note On Shufflinghttpsscikit Learn.Orgstablemodulescross Validation.Htmla Note On Shuffling Link To This Heading
    • 3.1.4. Cross Validation And Model Selectionhttpsscikit Learn.Orgstablemodulescross Validation.Htmlcross Validation And Model Selection Link To This Heading
    • 3.1.5. Permutation Test Scorehttpsscikit Learn.Orgstablemodulescross Validation.Htmlpermutation Test Score Link To This Heading
  • 3.1. Cross-validation: evaluating estimator performance#
  • Modules Cross Validation.Html
  • Table of Contents
• 📁 modules_feature_selection.html/
  • 📁 1.11.-Ensembles-Gradient-boosting-random-forests-bagging-voting-stackinghttpsscikit-learn.orgstablemodulesensemble.htmlensembles-gradient-boosting-random-forests-bagging-voting-stacking-Link-to-this-heading/
    • 1.11.1. Gradient Boosted Treeshttpsscikit Learn.Orgstablemodulesensemble.Htmlgradient Boosted Trees Link To This Heading
    • 1.11.2. Random Forests And Other Randomized Tree Ensembleshttpsscikit Learn.Orgstablemodulesensemble.Htmlrandom Forests And Other Randomized Tree Ensembles Link To This Heading
    • 1.11.3. Bagging Meta Estimatorhttpsscikit Learn.Orgstablemodulesensemble.Htmlbagging Meta Estimator Link To This Heading
    • 1.11.4. Voting Classifierhttpsscikit Learn.Orgstablemodulesensemble.Htmlvoting Classifier Link To This Heading
    • 1.11.5. Voting Regressorhttpsscikit Learn.Orgstablemodulesensemble.Htmlvoting Regressor Link To This Heading
    • 1.11.6. Stacked Generalizationhttpsscikit Learn.Orgstablemodulesensemble.Htmlstacked Generalization Link To This Heading
    • 1.11.7. Adaboosthttpsscikit Learn.Orgstablemodulesensemble.Htmladaboost Link To This Heading
  • 1.11. Ensembles: Gradient boosting, random forests, bagging, voting, stacking#
  • Modules Feature Selection.Html
  • Table of Contents
• 📁 modules_linear_model.html/
  • 📁 1.1.-Linear-Modelshttpsscikit-learn.orgstablemoduleslinear_model.htmllinear-models-Link-to-this-heading/
    • 1.1.1. Ordinary Least Squareshttpsscikit Learn.Orgstablemoduleslinear Model.Htmlordinary Least Squares Link To This Heading
    • 1.1.10. Bayesian Regressionhttpsscikit Learn.Orgstablemoduleslinear Model.Htmlbayesian Regression Link To This Heading
    • 1.1.11. Logistic Regressionhttpsscikit Learn.Orgstablemoduleslinear Model.Htmllogistic Regression Link To This Heading
    • 1.1.12. Generalized Linear Modelshttpsscikit Learn.Orgstablemoduleslinear Model.Htmlgeneralized Linear Models Link To This Heading
    • 1.1.13. Stochastic Gradient Descent Sgdhttpsscikit Learn.Orgstablemoduleslinear Model.Htmlstochastic Gradient Descent Sgd Link To This Heading
    • 1.1.14. Robustness Regression Outliers And Modeling Errorshttpsscikit Learn.Orgstablemoduleslinear Model.Htmlrobustness Regression Outliers And Modeling Errors Link To This Heading
    • 1.1.15. Quantile Regressionhttpsscikit Learn.Orgstablemoduleslinear Model.Htmlquantile Regression Link To This Heading
    • 1.1.16. Polynomial Regression Extending Linear Models With Basis Functionshttpsscikit Learn.Orgstablemoduleslinear Model.Htmlpolynomial Regression Extending Linear Models With Basis Functions Link To This Heading
    • 1.1.2. Ridge Regression And Classificationhttpsscikit Learn.Orgstablemoduleslinear Model.Htmlridge Regression And Classification Link To This Heading
    • 1.1.3. Lassohttpsscikit Learn.Orgstablemoduleslinear Model.Htmllasso Link To This Heading
    • 1.1.4. Multi Task Lassohttpsscikit Learn.Orgstablemoduleslinear Model.Htmlmulti Task Lasso Link To This Heading
    • 1.1.5. Elastic Nethttpsscikit Learn.Orgstablemoduleslinear Model.Htmlelastic Net Link To This Heading
    • 1.1.6. Multi Task Elastic Nethttpsscikit Learn.Orgstablemoduleslinear Model.Htmlmulti Task Elastic Net Link To This Heading
    • 1.1.7. Least Angle Regressionhttpsscikit Learn.Orgstablemoduleslinear Model.Htmlleast Angle Regression Link To This Heading
    • 1.1.8. Lars Lassohttpsscikit Learn.Orgstablemoduleslinear Model.Htmllars Lasso Link To This Heading
    • 1.1.9. Orthogonal Matching Pursuit Omphttpsscikit Learn.Orgstablemoduleslinear Model.Htmlorthogonal Matching Pursuit Omp Link To This Heading
  • 1.1. Linear Models#
  • Modules Linear Model.Html
  • Table of Contents
• 📁 modules_model_evaluation.html/
  • 📁 3.2.-Tuning-the-hyper-parameters-of-an-estimatorhttpsscikit-learn.orgstablemodulesgrid_search.htmltuning-the-hyper-parameters-of-an-estimator-Link-to-this-heading/
    • 3.2.1. Exhaustive Grid Searchhttpsscikit Learn.Orgstablemodulesgrid Search.Htmlexhaustive Grid Search Link To This Heading
    • 3.2.2. Randomized Parameter Optimizationhttpsscikit Learn.Orgstablemodulesgrid Search.Htmlrandomized Parameter Optimization Link To This Heading
    • 3.2.3. Searching For Optimal Parameters With Successive Halvinghttpsscikit Learn.Orgstablemodulesgrid Search.Htmlsearching For Optimal Parameters With Successive Halving Link To This Heading
    • 3.2.4. Tips For Parameter Searchhttpsscikit Learn.Orgstablemodulesgrid Search.Htmltips For Parameter Search Link To This Heading
    • 3.2.5. Alternatives To Brute Force Parameter Searchhttpsscikit Learn.Orgstablemodulesgrid Search.Htmlalternatives To Brute Force Parameter Search Link To This Heading
  • 3.2. Tuning the hyper-parameters of an estimator#
  • Modules Model Evaluation.Html
  • Table of Contents
• 📁 user_guide.html/
  • User Guide#
  • Table of Contents
  • User Guide.Html
• 📁 whats_new_v1.6.html/
  • 📁 Version-1.6httpsscikit-learn.orgstablewhats_newv1.6.htmlversion-1-6-Link-to-this-heading/
    • Version 1.6.1Httpsscikit Learn.Orgstablewhats Newv1.6.Htmlversion 1 6 1 Link To This Heading
  • Version 1.6.0Httpsscikit Learn.Orgstablewhats Newv1.6.Htmlversion 1 6 0 Link To This Heading Pt1
  • Version 1.6.0Httpsscikit Learn.Orgstablewhats Newv1.6.Htmlversion 1 6 0 Link To This Heading Pt2
  • Version 1.6.0Httpsscikit Learn.Orgstablewhats Newv1.6.Htmlversion 1 6 0 Link To This Heading Pt3
  • Version 1.6#
  • Table of Contents
  • What's New V1.6.Html
• 📁 whats_new_v1.7.html/
  • 📁 Version-1.7httpsscikit-learn.orgstablewhats_newv1.7.htmlversion-1-7-Link-to-this-heading/
    • Version 1.7.0Httpsscikit Learn.Orgstablewhats Newv1.7.Htmlversion 1 7 0 Link To This Heading
    • Version 1.7.1Httpsscikit Learn.Orgstablewhats Newv1.7.Htmlversion 1 7 1 Link To This Heading
    • Version 1.7.2Httpsscikit Learn.Orgstablewhats Newv1.7.Htmlversion 1 7 2 Link To This Heading
  • Version 1.7#
  • Table of Contents
  • What's New V1.7.Html
• 📁 whats_new_v1.8.html/
  • Version 1.8.0Httpsscikit Learn.Orgstablewhats Newv1.8.Htmlversion 1 8 0 Link To This Heading Pt1
  • Version 1.8.0Httpsscikit Learn.Orgstablewhats Newv1.8.Htmlversion 1 8 0 Link To This Heading Pt2
  • Version 1.8.0Httpsscikit Learn.Orgstablewhats Newv1.8.Htmlversion 1 8 0 Link To This Heading Pt3
  • Version 1.8#
  • Table of Contents
  • What's New V1.8.Html
• scikit-learn
• Auto Examples Classification Index.Html
• Auto Examples Cluster Plot Kmeans Digits.Html
• Auto Examples Decomposition Index.Html
• scikit-learn
• scikit-learn
• scikit-learn
• scikit-learn
• scikit-learn
• scikit-learn
• Model Selection.Html
• Modules Decomposition.Html
• Modules Ensemble.Html
• Modules Feature Extraction.Html
• Modules Grid Search.Html
• Modules Neighbors.Html
• Modules Preprocessing.Html
• scikit-learn
• [scikit

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