<!DOCTYPE html>
<html lang="en" data-content_root="../../" >
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
<meta property="og:title" content="dbscan" />
<meta property="og:type" content="website" />
<meta property="og:url" content="https://scikit-learn/stable/modules/generated/dbscan-function.html" />
<meta property="og:site_name" content="scikit-learn" />
<meta property="og:image" content="https://scikit-learn.org/stable/_static/scikit-learn-logo-small.png" />
<meta property="og:image:alt" content="scikit-learn" />
<title>dbscan — scikit-learn 1.7.dev0 documentation</title>
<script data-cfasync="false">
document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
document.documentElement.dataset.theme = localStorage.getItem("theme") || "";
</script>
<!--
this give us a css class that will be invisible only if js is disabled
-->
<noscript>
<style>
.pst-js-only { display: none !important; }
</style>
</noscript>
<!-- Loaded before other Sphinx assets -->
<link href="../../_static/styles/theme.css?digest=8878045cc6db502f8baf" rel="stylesheet" />
<link href="../../_static/styles/pydata-sphinx-theme.css?digest=8878045cc6db502f8baf" rel="stylesheet" />
<link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=8f2a1f02" />
<link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
<link rel="stylesheet" type="text/css" href="../../_static/plot_directive.css" />
<link rel="stylesheet" type="text/css" href="https://fonts.googleapis.com/css?family=Vibur" />
<link rel="stylesheet" type="text/css" href="../../_static/jupyterlite_sphinx.css?v=2c9f8f05" />
<link rel="stylesheet" type="text/css" href="../../_static/sg_gallery.css?v=d2d258e8" />
<link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-binder.css?v=f4aeca0c" />
<link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-dataframe.css?v=2082cf3c" />
<link rel="stylesheet" type="text/css" href="../../_static/sg_gallery-rendered-html.css?v=1277b6f3" />
<link rel="stylesheet" type="text/css" href="../../_static/sphinx-design.min.css?v=95c83b7e" />
<link rel="stylesheet" type="text/css" href="../../_static/styles/api.css?v=b0444f25" />
<link rel="stylesheet" type="text/css" href="../../_static/styles/colors.css?v=cc94ab7d" />
<link rel="stylesheet" type="text/css" href="../../_static/styles/custom.css?v=8f525996" />
<!-- So that users can add custom icons -->
<script src="../../_static/scripts/fontawesome.js?digest=8878045cc6db502f8baf"></script>
<!-- Pre-loaded scripts that we'll load fully later -->
<link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8878045cc6db502f8baf" />
<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8878045cc6db502f8baf" />
<script src="../../_static/documentation_options.js?v=473747f4"></script>
<script src="../../_static/doctools.js?v=9bcbadda"></script>
<script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
<script src="../../_static/copybutton.js?v=97f0b27d"></script>
<script src="../../_static/jupyterlite_sphinx.js?v=96e329c5"></script>
<script src="../../_static/design-tabs.js?v=f930bc37"></script>
<script data-domain="scikit-learn.org" defer="defer" src="https://views.scientific-python.org/js/script.js"></script>
<script>DOCUMENTATION_OPTIONS.pagename = 'modules/generated/dbscan-function';</script>
<script>
DOCUMENTATION_OPTIONS.theme_version = '0.16.1';
DOCUMENTATION_OPTIONS.theme_switcher_json_url = 'https://scikit-learn.org/dev/_static/versions.json';
DOCUMENTATION_OPTIONS.theme_switcher_version_match = '1.7.dev0';
DOCUMENTATION_OPTIONS.show_version_warning_banner =
true;
</script>
<script src="../../_static/scripts/dropdown.js?v=d6825577"></script>
<script src="../../_static/scripts/version-switcher.js?v=a6dd8357"></script>
<script src="../../_static/scripts/sg_plotly_resize.js?v=2167d4db"></script>
<link rel="canonical" href="https://scikit-learn.org/stable/modules/generated/dbscan-function.html" />
<link rel="icon" href="../../_static/favicon.ico"/>
<link rel="author" title="About these documents" href="../../about.html" />
<link rel="search" title="Search" href="../../search.html" />
<link rel="next" title="estimate_bandwidth" href="sklearn.cluster.estimate_bandwidth.html" />
<link rel="prev" title="compute_optics_graph" href="sklearn.cluster.compute_optics_graph.html" />
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<meta name="docsearch:language" content="en"/>
<meta name="docsearch:version" content="1.7" />
</head>
<body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
<div id="pst-skip-link" class="skip-link d-print-none"><a href="#main-content">Skip to main content</a></div>
<div id="pst-scroll-pixel-helper"></div>
<button type="button" class="btn rounded-pill" id="pst-back-to-top">
<i class="fa-solid fa-arrow-up"></i>Back to top</button>
<dialog id="pst-search-dialog">
<form class="bd-search d-flex align-items-center"
action="../../search.html"
method="get">
<i class="fa-solid fa-magnifying-glass"></i>
<input type="search"
class="form-control"
name="q"
placeholder="Search the docs ..."
aria-label="Search the docs ..."
autocomplete="off"
autocorrect="off"
autocapitalize="off"
spellcheck="false"/>
<span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
</form>
</dialog>
<div class="pst-async-banner-revealer d-none">
<aside id="bd-header-version-warning" class="d-none d-print-none" aria-label="Version warning"></aside>
</div>
<header class="bd-header navbar navbar-expand-lg bd-navbar d-print-none">
<div class="bd-header__inner bd-page-width">
<button class="pst-navbar-icon sidebar-toggle primary-toggle" aria-label="Site navigation">
<span class="fa-solid fa-bars"></span>
</button>
<div class=" navbar-header-items__start">
<div class="navbar-item">
<a class="navbar-brand logo" href="../../index.html">
<img src="../../_static/scikit-learn-logo-small.png" class="logo__image only-light" alt="scikit-learn homepage"/>
<img src="../../_static/scikit-learn-logo-small.png" class="logo__image only-dark pst-js-only" alt="scikit-learn homepage"/>
</a></div>
</div>
<div class=" navbar-header-items">
<div class="me-auto navbar-header-items__center">
<div class="navbar-item">
<nav>
<ul class="bd-navbar-elements navbar-nav">
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../install.html">
Install
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../user_guide.html">
User Guide
</a>
</li>
<li class="nav-item current active">
<a class="nav-link nav-internal" href="../../api/index.html">
API
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../auto_examples/index.html">
Examples
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-external" href="https://blog.scikit-learn.org/">
Community
</a>
</li>
<li class="nav-item dropdown">
<button class="btn dropdown-toggle nav-item" type="button"
data-bs-toggle="dropdown" aria-expanded="false"
aria-controls="pst-nav-more-links">
More
</button>
<ul id="pst-nav-more-links" class="dropdown-menu">
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../../getting_started.html">
Getting Started
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../../whats_new.html">
Release History
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../../glossary.html">
Glossary
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../../developers/index.html">
Development
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../../faq.html">
FAQ
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../../support.html">
Support
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../../related_projects.html">
Related Projects
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../../roadmap.html">
Roadmap
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../../governance.html">
Governance
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../../about.html">
About us
</a>
</li>
</ul>
</li>
</ul>
</nav></div>
</div>
<div class="navbar-header-items__end">
<div class="navbar-item navbar-persistent--container">
<button class="btn btn-sm pst-navbar-icon search-button search-button__button pst-js-only" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="fa-solid fa-magnifying-glass fa-lg"></i>
</button>
</div>
<div class="navbar-item">
<button class="btn btn-sm nav-link pst-navbar-icon theme-switch-button pst-js-only" aria-label="Color mode" data-bs-title="Color mode" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="theme-switch fa-solid fa-sun fa-lg" data-mode="light" title="Light"></i>
<i class="theme-switch fa-solid fa-moon fa-lg" data-mode="dark" title="Dark"></i>
<i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto" title="System Settings"></i>
</button></div>
<div class="navbar-item"><ul class="navbar-icon-links"
aria-label="Icon Links">
<li class="nav-item">
<a href="https://github.com/scikit-learn/scikit-learn" title="GitHub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-square-github fa-lg" aria-hidden="true"></i>
<span class="sr-only">GitHub</span></a>
</li>
</ul></div>
<div class="navbar-item">
<div class="version-switcher__container dropdown pst-js-only">
<button id="pst-version-switcher-button-2"
type="button"
class="version-switcher__button btn btn-sm dropdown-toggle"
data-bs-toggle="dropdown"
aria-haspopup="listbox"
aria-controls="pst-version-switcher-list-2"
aria-label="Version switcher list"
>
Choose version <!-- this text may get changed later by javascript -->
<span class="caret"></span>
</button>
<div id="pst-version-switcher-list-2"
class="version-switcher__menu dropdown-menu list-group-flush py-0"
role="listbox" aria-labelledby="pst-version-switcher-button-2">
<!-- dropdown will be populated by javascript on page load -->
</div>
</div></div>
</div>
</div>
<div class="navbar-persistent--mobile">
<button class="btn btn-sm pst-navbar-icon search-button search-button__button pst-js-only" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="fa-solid fa-magnifying-glass fa-lg"></i>
</button>
</div>
<button class="pst-navbar-icon sidebar-toggle secondary-toggle" aria-label="On this page">
<span class="fa-solid fa-outdent"></span>
</button>
</div>
</header>
<div class="bd-container">
<div class="bd-container__inner bd-page-width">
<dialog id="pst-primary-sidebar-modal"></dialog>
<div id="pst-primary-sidebar" class="bd-sidebar-primary bd-sidebar">
<div class="sidebar-header-items sidebar-primary__section">
<div class="sidebar-header-items__center">
<div class="navbar-item">
<nav>
<ul class="bd-navbar-elements navbar-nav">
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../install.html">
Install
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../user_guide.html">
User Guide
</a>
</li>
<li class="nav-item current active">
<a class="nav-link nav-internal" href="../../api/index.html">
API
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../auto_examples/index.html">
Examples
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-external" href="https://blog.scikit-learn.org/">
Community
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../getting_started.html">
Getting Started
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../whats_new.html">
Release History
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../glossary.html">
Glossary
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../developers/index.html">
Development
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../faq.html">
FAQ
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../support.html">
Support
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../related_projects.html">
Related Projects
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../roadmap.html">
Roadmap
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../governance.html">
Governance
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../../about.html">
About us
</a>
</li>
</ul>
</nav></div>
</div>
<div class="sidebar-header-items__end">
<div class="navbar-item">
<button class="btn btn-sm nav-link pst-navbar-icon theme-switch-button pst-js-only" aria-label="Color mode" data-bs-title="Color mode" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="theme-switch fa-solid fa-sun fa-lg" data-mode="light" title="Light"></i>
<i class="theme-switch fa-solid fa-moon fa-lg" data-mode="dark" title="Dark"></i>
<i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto" title="System Settings"></i>
</button></div>
<div class="navbar-item"><ul class="navbar-icon-links"
aria-label="Icon Links">
<li class="nav-item">
<a href="https://github.com/scikit-learn/scikit-learn" title="GitHub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-square-github fa-lg" aria-hidden="true"></i>
<span class="sr-only">GitHub</span></a>
</li>
</ul></div>
<div class="navbar-item">
<div class="version-switcher__container dropdown pst-js-only">
<button id="pst-version-switcher-button-3"
type="button"
class="version-switcher__button btn btn-sm dropdown-toggle"
data-bs-toggle="dropdown"
aria-haspopup="listbox"
aria-controls="pst-version-switcher-list-3"
aria-label="Version switcher list"
>
Choose version <!-- this text may get changed later by javascript -->
<span class="caret"></span>
</button>
<div id="pst-version-switcher-list-3"
class="version-switcher__menu dropdown-menu list-group-flush py-0"
role="listbox" aria-labelledby="pst-version-switcher-button-3">
<!-- dropdown will be populated by javascript on page load -->
</div>
</div></div>
</div>
</div>
<div class="sidebar-primary-items__start sidebar-primary__section">
<div class="sidebar-primary-item">
<nav class="bd-docs-nav bd-links"
aria-label="Section Navigation">
<p class="bd-links__title" role="heading" aria-level="1">Section Navigation</p>
<div class="bd-toc-item navbar-nav"><ul class="current nav bd-sidenav">
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.html">sklearn</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.config_context.html">config_context</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.get_config.html">get_config</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.set_config.html">set_config</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.show_versions.html">show_versions</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.base.html">sklearn.base</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.BaseEstimator.html">BaseEstimator</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.BiclusterMixin.html">BiclusterMixin</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.ClassNamePrefixFeaturesOutMixin.html">ClassNamePrefixFeaturesOutMixin</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.ClassifierMixin.html">ClassifierMixin</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.ClusterMixin.html">ClusterMixin</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.DensityMixin.html">DensityMixin</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.MetaEstimatorMixin.html">MetaEstimatorMixin</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.OneToOneFeatureMixin.html">OneToOneFeatureMixin</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.OutlierMixin.html">OutlierMixin</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.RegressorMixin.html">RegressorMixin</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.TransformerMixin.html">TransformerMixin</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.clone.html">clone</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.is_classifier.html">is_classifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.is_clusterer.html">is_clusterer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.is_regressor.html">is_regressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.base.is_outlier_detector.html">is_outlier_detector</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.calibration.html">sklearn.calibration</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.calibration.CalibratedClassifierCV.html">CalibratedClassifierCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.calibration.calibration_curve.html">calibration_curve</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.calibration.CalibrationDisplay.html">CalibrationDisplay</a></li>
</ul>
</details></li>
<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../api/sklearn.cluster.html">sklearn.cluster</a><details open="open"><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul class="current">
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.AffinityPropagation.html">AffinityPropagation</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.AgglomerativeClustering.html">AgglomerativeClustering</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.Birch.html">Birch</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.BisectingKMeans.html">BisectingKMeans</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.DBSCAN.html">DBSCAN</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.FeatureAgglomeration.html">FeatureAgglomeration</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.HDBSCAN.html">HDBSCAN</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.KMeans.html">KMeans</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.MeanShift.html">MeanShift</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.MiniBatchKMeans.html">MiniBatchKMeans</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.OPTICS.html">OPTICS</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.SpectralBiclustering.html">SpectralBiclustering</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.SpectralClustering.html">SpectralClustering</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.SpectralCoclustering.html">SpectralCoclustering</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.affinity_propagation.html">affinity_propagation</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.cluster_optics_dbscan.html">cluster_optics_dbscan</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.cluster_optics_xi.html">cluster_optics_xi</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.compute_optics_graph.html">compute_optics_graph</a></li>
<li class="toctree-l2 current active"><a class="current reference internal" href="#">dbscan</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.estimate_bandwidth.html">estimate_bandwidth</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.k_means.html">k_means</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.kmeans_plusplus.html">kmeans_plusplus</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.mean_shift.html">mean_shift</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.spectral_clustering.html">spectral_clustering</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cluster.ward_tree.html">ward_tree</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.compose.html">sklearn.compose</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.compose.ColumnTransformer.html">ColumnTransformer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.compose.TransformedTargetRegressor.html">TransformedTargetRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.compose.make_column_selector.html">make_column_selector</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.compose.make_column_transformer.html">make_column_transformer</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.covariance.html">sklearn.covariance</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.covariance.EllipticEnvelope.html">EllipticEnvelope</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.covariance.EmpiricalCovariance.html">EmpiricalCovariance</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.covariance.GraphicalLasso.html">GraphicalLasso</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.covariance.GraphicalLassoCV.html">GraphicalLassoCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.covariance.LedoitWolf.html">LedoitWolf</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.covariance.MinCovDet.html">MinCovDet</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.covariance.OAS.html">OAS</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.covariance.ShrunkCovariance.html">ShrunkCovariance</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.covariance.empirical_covariance.html">empirical_covariance</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.covariance.graphical_lasso.html">graphical_lasso</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.covariance.ledoit_wolf.html">ledoit_wolf</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.covariance.ledoit_wolf_shrinkage.html">ledoit_wolf_shrinkage</a></li>
<li class="toctree-l2"><a class="reference internal" href="oas-function.html">oas</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.covariance.shrunk_covariance.html">shrunk_covariance</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.cross_decomposition.html">sklearn.cross_decomposition</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cross_decomposition.CCA.html">CCA</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cross_decomposition.PLSCanonical.html">PLSCanonical</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cross_decomposition.PLSRegression.html">PLSRegression</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.cross_decomposition.PLSSVD.html">PLSSVD</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.datasets.html">sklearn.datasets</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.clear_data_home.html">clear_data_home</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.dump_svmlight_file.html">dump_svmlight_file</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.fetch_20newsgroups.html">fetch_20newsgroups</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.fetch_20newsgroups_vectorized.html">fetch_20newsgroups_vectorized</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.fetch_california_housing.html">fetch_california_housing</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.fetch_covtype.html">fetch_covtype</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.fetch_file.html">fetch_file</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.fetch_kddcup99.html">fetch_kddcup99</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.fetch_lfw_pairs.html">fetch_lfw_pairs</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.fetch_lfw_people.html">fetch_lfw_people</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.fetch_olivetti_faces.html">fetch_olivetti_faces</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.fetch_openml.html">fetch_openml</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.fetch_rcv1.html">fetch_rcv1</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.fetch_species_distributions.html">fetch_species_distributions</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.get_data_home.html">get_data_home</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.load_breast_cancer.html">load_breast_cancer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.load_diabetes.html">load_diabetes</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.load_digits.html">load_digits</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.load_files.html">load_files</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.load_iris.html">load_iris</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.load_linnerud.html">load_linnerud</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.load_sample_image.html">load_sample_image</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.load_sample_images.html">load_sample_images</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.load_svmlight_file.html">load_svmlight_file</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.load_svmlight_files.html">load_svmlight_files</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.load_wine.html">load_wine</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_biclusters.html">make_biclusters</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_blobs.html">make_blobs</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_checkerboard.html">make_checkerboard</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_circles.html">make_circles</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_classification.html">make_classification</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_friedman1.html">make_friedman1</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_friedman2.html">make_friedman2</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_friedman3.html">make_friedman3</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_gaussian_quantiles.html">make_gaussian_quantiles</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_hastie_10_2.html">make_hastie_10_2</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_low_rank_matrix.html">make_low_rank_matrix</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_moons.html">make_moons</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_multilabel_classification.html">make_multilabel_classification</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_regression.html">make_regression</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_s_curve.html">make_s_curve</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_sparse_coded_signal.html">make_sparse_coded_signal</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_sparse_spd_matrix.html">make_sparse_spd_matrix</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_sparse_uncorrelated.html">make_sparse_uncorrelated</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_spd_matrix.html">make_spd_matrix</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.datasets.make_swiss_roll.html">make_swiss_roll</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.decomposition.html">sklearn.decomposition</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.DictionaryLearning.html">DictionaryLearning</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.FactorAnalysis.html">FactorAnalysis</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.FastICA.html">FastICA</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.IncrementalPCA.html">IncrementalPCA</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.KernelPCA.html">KernelPCA</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.LatentDirichletAllocation.html">LatentDirichletAllocation</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.MiniBatchDictionaryLearning.html">MiniBatchDictionaryLearning</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.MiniBatchNMF.html">MiniBatchNMF</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.MiniBatchSparsePCA.html">MiniBatchSparsePCA</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.NMF.html">NMF</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.PCA.html">PCA</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.SparseCoder.html">SparseCoder</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.SparsePCA.html">SparsePCA</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.TruncatedSVD.html">TruncatedSVD</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.dict_learning.html">dict_learning</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.dict_learning_online.html">dict_learning_online</a></li>
<li class="toctree-l2"><a class="reference internal" href="fastica-function.html">fastica</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.non_negative_factorization.html">non_negative_factorization</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.decomposition.sparse_encode.html">sparse_encode</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.discriminant_analysis.html">sklearn.discriminant_analysis</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.discriminant_analysis.LinearDiscriminantAnalysis.html">LinearDiscriminantAnalysis</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis.html">QuadraticDiscriminantAnalysis</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.dummy.html">sklearn.dummy</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.dummy.DummyClassifier.html">DummyClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.dummy.DummyRegressor.html">DummyRegressor</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.ensemble.html">sklearn.ensemble</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.AdaBoostClassifier.html">AdaBoostClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.AdaBoostRegressor.html">AdaBoostRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.BaggingClassifier.html">BaggingClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.BaggingRegressor.html">BaggingRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.ExtraTreesClassifier.html">ExtraTreesClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.ExtraTreesRegressor.html">ExtraTreesRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.GradientBoostingClassifier.html">GradientBoostingClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.GradientBoostingRegressor.html">GradientBoostingRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.HistGradientBoostingClassifier.html">HistGradientBoostingClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.HistGradientBoostingRegressor.html">HistGradientBoostingRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.IsolationForest.html">IsolationForest</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.RandomForestClassifier.html">RandomForestClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.RandomForestRegressor.html">RandomForestRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.RandomTreesEmbedding.html">RandomTreesEmbedding</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.StackingClassifier.html">StackingClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.StackingRegressor.html">StackingRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.VotingClassifier.html">VotingClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.ensemble.VotingRegressor.html">VotingRegressor</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.exceptions.html">sklearn.exceptions</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.exceptions.ConvergenceWarning.html">ConvergenceWarning</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.exceptions.DataConversionWarning.html">DataConversionWarning</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.exceptions.DataDimensionalityWarning.html">DataDimensionalityWarning</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.exceptions.EfficiencyWarning.html">EfficiencyWarning</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.exceptions.FitFailedWarning.html">FitFailedWarning</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.exceptions.InconsistentVersionWarning.html">InconsistentVersionWarning</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.exceptions.NotFittedError.html">NotFittedError</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.exceptions.UndefinedMetricWarning.html">UndefinedMetricWarning</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.exceptions.EstimatorCheckFailedWarning.html">EstimatorCheckFailedWarning</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.experimental.html">sklearn.experimental</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.experimental.enable_halving_search_cv.html">enable_halving_search_cv</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.experimental.enable_iterative_imputer.html">enable_iterative_imputer</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.feature_extraction.html">sklearn.feature_extraction</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_extraction.DictVectorizer.html">DictVectorizer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_extraction.FeatureHasher.html">FeatureHasher</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_extraction.image.PatchExtractor.html">PatchExtractor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_extraction.image.extract_patches_2d.html">extract_patches_2d</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_extraction.image.grid_to_graph.html">grid_to_graph</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_extraction.image.img_to_graph.html">img_to_graph</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_extraction.image.reconstruct_from_patches_2d.html">reconstruct_from_patches_2d</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_extraction.text.CountVectorizer.html">CountVectorizer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_extraction.text.HashingVectorizer.html">HashingVectorizer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_extraction.text.TfidfTransformer.html">TfidfTransformer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_extraction.text.TfidfVectorizer.html">TfidfVectorizer</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.feature_selection.html">sklearn.feature_selection</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.GenericUnivariateSelect.html">GenericUnivariateSelect</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.RFE.html">RFE</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.RFECV.html">RFECV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.SelectFdr.html">SelectFdr</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.SelectFpr.html">SelectFpr</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.SelectFromModel.html">SelectFromModel</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.SelectFwe.html">SelectFwe</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.SelectKBest.html">SelectKBest</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.SelectPercentile.html">SelectPercentile</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.SelectorMixin.html">SelectorMixin</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.SequentialFeatureSelector.html">SequentialFeatureSelector</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.VarianceThreshold.html">VarianceThreshold</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.chi2.html">chi2</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.f_classif.html">f_classif</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.f_regression.html">f_regression</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.mutual_info_classif.html">mutual_info_classif</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.mutual_info_regression.html">mutual_info_regression</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.feature_selection.r_regression.html">r_regression</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.frozen.html">sklearn.frozen</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.frozen.FrozenEstimator.html">FrozenEstimator</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.gaussian_process.html">sklearn.gaussian_process</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.GaussianProcessClassifier.html">GaussianProcessClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.GaussianProcessRegressor.html">GaussianProcessRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.kernels.CompoundKernel.html">CompoundKernel</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.kernels.ConstantKernel.html">ConstantKernel</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.kernels.DotProduct.html">DotProduct</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.kernels.ExpSineSquared.html">ExpSineSquared</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.kernels.Exponentiation.html">Exponentiation</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.kernels.Hyperparameter.html">Hyperparameter</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.kernels.Kernel.html">Kernel</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.kernels.Matern.html">Matern</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.kernels.PairwiseKernel.html">PairwiseKernel</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.kernels.Product.html">Product</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.kernels.RBF.html">RBF</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.kernels.RationalQuadratic.html">RationalQuadratic</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.kernels.Sum.html">Sum</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.gaussian_process.kernels.WhiteKernel.html">WhiteKernel</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.impute.html">sklearn.impute</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.impute.IterativeImputer.html">IterativeImputer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.impute.KNNImputer.html">KNNImputer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.impute.MissingIndicator.html">MissingIndicator</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.impute.SimpleImputer.html">SimpleImputer</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.inspection.html">sklearn.inspection</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.inspection.partial_dependence.html">partial_dependence</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.inspection.permutation_importance.html">permutation_importance</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.inspection.DecisionBoundaryDisplay.html">DecisionBoundaryDisplay</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.inspection.PartialDependenceDisplay.html">PartialDependenceDisplay</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.isotonic.html">sklearn.isotonic</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.isotonic.IsotonicRegression.html">IsotonicRegression</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.isotonic.check_increasing.html">check_increasing</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.isotonic.isotonic_regression.html">isotonic_regression</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.kernel_approximation.html">sklearn.kernel_approximation</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.kernel_approximation.AdditiveChi2Sampler.html">AdditiveChi2Sampler</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.kernel_approximation.Nystroem.html">Nystroem</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.kernel_approximation.PolynomialCountSketch.html">PolynomialCountSketch</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.kernel_approximation.RBFSampler.html">RBFSampler</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.kernel_approximation.SkewedChi2Sampler.html">SkewedChi2Sampler</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.kernel_ridge.html">sklearn.kernel_ridge</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.kernel_ridge.KernelRidge.html">KernelRidge</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.linear_model.html">sklearn.linear_model</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.LogisticRegression.html">LogisticRegression</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.LogisticRegressionCV.html">LogisticRegressionCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.PassiveAggressiveClassifier.html">PassiveAggressiveClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.Perceptron.html">Perceptron</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.RidgeClassifier.html">RidgeClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.RidgeClassifierCV.html">RidgeClassifierCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.SGDClassifier.html">SGDClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.SGDOneClassSVM.html">SGDOneClassSVM</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.LinearRegression.html">LinearRegression</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.Ridge.html">Ridge</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.RidgeCV.html">RidgeCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.SGDRegressor.html">SGDRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.ElasticNet.html">ElasticNet</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.ElasticNetCV.html">ElasticNetCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.Lars.html">Lars</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.LarsCV.html">LarsCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.Lasso.html">Lasso</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.LassoCV.html">LassoCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.LassoLars.html">LassoLars</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.LassoLarsCV.html">LassoLarsCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.LassoLarsIC.html">LassoLarsIC</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.OrthogonalMatchingPursuit.html">OrthogonalMatchingPursuit</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.OrthogonalMatchingPursuitCV.html">OrthogonalMatchingPursuitCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.ARDRegression.html">ARDRegression</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.BayesianRidge.html">BayesianRidge</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.MultiTaskElasticNet.html">MultiTaskElasticNet</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.MultiTaskElasticNetCV.html">MultiTaskElasticNetCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.MultiTaskLasso.html">MultiTaskLasso</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.MultiTaskLassoCV.html">MultiTaskLassoCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.HuberRegressor.html">HuberRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.QuantileRegressor.html">QuantileRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.RANSACRegressor.html">RANSACRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.TheilSenRegressor.html">TheilSenRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.GammaRegressor.html">GammaRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.PoissonRegressor.html">PoissonRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.TweedieRegressor.html">TweedieRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.PassiveAggressiveRegressor.html">PassiveAggressiveRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.enet_path.html">enet_path</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.lars_path.html">lars_path</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.lars_path_gram.html">lars_path_gram</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.lasso_path.html">lasso_path</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.orthogonal_mp.html">orthogonal_mp</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.orthogonal_mp_gram.html">orthogonal_mp_gram</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.linear_model.ridge_regression.html">ridge_regression</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.manifold.html">sklearn.manifold</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.manifold.Isomap.html">Isomap</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.manifold.LocallyLinearEmbedding.html">LocallyLinearEmbedding</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.manifold.MDS.html">MDS</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.manifold.SpectralEmbedding.html">SpectralEmbedding</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.manifold.TSNE.html">TSNE</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.manifold.locally_linear_embedding.html">locally_linear_embedding</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.manifold.smacof.html">smacof</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.manifold.spectral_embedding.html">spectral_embedding</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.manifold.trustworthiness.html">trustworthiness</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.metrics.html">sklearn.metrics</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.check_scoring.html">check_scoring</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.get_scorer.html">get_scorer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.get_scorer_names.html">get_scorer_names</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.make_scorer.html">make_scorer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.accuracy_score.html">accuracy_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.auc.html">auc</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.average_precision_score.html">average_precision_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.balanced_accuracy_score.html">balanced_accuracy_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.brier_score_loss.html">brier_score_loss</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.class_likelihood_ratios.html">class_likelihood_ratios</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.classification_report.html">classification_report</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.cohen_kappa_score.html">cohen_kappa_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.confusion_matrix.html">confusion_matrix</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.d2_log_loss_score.html">d2_log_loss_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.dcg_score.html">dcg_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.det_curve.html">det_curve</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.f1_score.html">f1_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.fbeta_score.html">fbeta_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.hamming_loss.html">hamming_loss</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.hinge_loss.html">hinge_loss</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.jaccard_score.html">jaccard_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.log_loss.html">log_loss</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.matthews_corrcoef.html">matthews_corrcoef</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.multilabel_confusion_matrix.html">multilabel_confusion_matrix</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.ndcg_score.html">ndcg_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.precision_recall_curve.html">precision_recall_curve</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.precision_recall_fscore_support.html">precision_recall_fscore_support</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.precision_score.html">precision_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.recall_score.html">recall_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.roc_auc_score.html">roc_auc_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.roc_curve.html">roc_curve</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.top_k_accuracy_score.html">top_k_accuracy_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.zero_one_loss.html">zero_one_loss</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.d2_absolute_error_score.html">d2_absolute_error_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.d2_pinball_score.html">d2_pinball_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.d2_tweedie_score.html">d2_tweedie_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.explained_variance_score.html">explained_variance_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.max_error.html">max_error</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.mean_absolute_error.html">mean_absolute_error</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.mean_absolute_percentage_error.html">mean_absolute_percentage_error</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.mean_gamma_deviance.html">mean_gamma_deviance</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.mean_pinball_loss.html">mean_pinball_loss</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.mean_poisson_deviance.html">mean_poisson_deviance</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.mean_squared_error.html">mean_squared_error</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.mean_squared_log_error.html">mean_squared_log_error</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.mean_tweedie_deviance.html">mean_tweedie_deviance</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.median_absolute_error.html">median_absolute_error</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.r2_score.html">r2_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.root_mean_squared_error.html">root_mean_squared_error</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.root_mean_squared_log_error.html">root_mean_squared_log_error</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.coverage_error.html">coverage_error</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.label_ranking_average_precision_score.html">label_ranking_average_precision_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.label_ranking_loss.html">label_ranking_loss</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.adjusted_mutual_info_score.html">adjusted_mutual_info_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.adjusted_rand_score.html">adjusted_rand_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.calinski_harabasz_score.html">calinski_harabasz_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.cluster.contingency_matrix.html">contingency_matrix</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.cluster.pair_confusion_matrix.html">pair_confusion_matrix</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.completeness_score.html">completeness_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.davies_bouldin_score.html">davies_bouldin_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.fowlkes_mallows_score.html">fowlkes_mallows_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.homogeneity_completeness_v_measure.html">homogeneity_completeness_v_measure</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.homogeneity_score.html">homogeneity_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.mutual_info_score.html">mutual_info_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.normalized_mutual_info_score.html">normalized_mutual_info_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.rand_score.html">rand_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.silhouette_samples.html">silhouette_samples</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.silhouette_score.html">silhouette_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.v_measure_score.html">v_measure_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.consensus_score.html">consensus_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.DistanceMetric.html">DistanceMetric</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.additive_chi2_kernel.html">additive_chi2_kernel</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.chi2_kernel.html">chi2_kernel</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.cosine_distances.html">cosine_distances</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.cosine_similarity.html">cosine_similarity</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.distance_metrics.html">distance_metrics</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.euclidean_distances.html">euclidean_distances</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.haversine_distances.html">haversine_distances</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.kernel_metrics.html">kernel_metrics</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.laplacian_kernel.html">laplacian_kernel</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.linear_kernel.html">linear_kernel</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.manhattan_distances.html">manhattan_distances</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.nan_euclidean_distances.html">nan_euclidean_distances</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.paired_cosine_distances.html">paired_cosine_distances</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.paired_distances.html">paired_distances</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.paired_euclidean_distances.html">paired_euclidean_distances</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.paired_manhattan_distances.html">paired_manhattan_distances</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.pairwise_kernels.html">pairwise_kernels</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.polynomial_kernel.html">polynomial_kernel</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.rbf_kernel.html">rbf_kernel</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise.sigmoid_kernel.html">sigmoid_kernel</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise_distances.html">pairwise_distances</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise_distances_argmin.html">pairwise_distances_argmin</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise_distances_argmin_min.html">pairwise_distances_argmin_min</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.pairwise_distances_chunked.html">pairwise_distances_chunked</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.ConfusionMatrixDisplay.html">ConfusionMatrixDisplay</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.DetCurveDisplay.html">DetCurveDisplay</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.PrecisionRecallDisplay.html">PrecisionRecallDisplay</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.PredictionErrorDisplay.html">PredictionErrorDisplay</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.metrics.RocCurveDisplay.html">RocCurveDisplay</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.mixture.html">sklearn.mixture</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.mixture.BayesianGaussianMixture.html">BayesianGaussianMixture</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.mixture.GaussianMixture.html">GaussianMixture</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.model_selection.html">sklearn.model_selection</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.GroupKFold.html">GroupKFold</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.GroupShuffleSplit.html">GroupShuffleSplit</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.KFold.html">KFold</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.LeaveOneGroupOut.html">LeaveOneGroupOut</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.LeaveOneOut.html">LeaveOneOut</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.LeavePGroupsOut.html">LeavePGroupsOut</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.LeavePOut.html">LeavePOut</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.PredefinedSplit.html">PredefinedSplit</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.RepeatedKFold.html">RepeatedKFold</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.RepeatedStratifiedKFold.html">RepeatedStratifiedKFold</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.ShuffleSplit.html">ShuffleSplit</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.StratifiedGroupKFold.html">StratifiedGroupKFold</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.StratifiedKFold.html">StratifiedKFold</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.StratifiedShuffleSplit.html">StratifiedShuffleSplit</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.TimeSeriesSplit.html">TimeSeriesSplit</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.check_cv.html">check_cv</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.train_test_split.html">train_test_split</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.GridSearchCV.html">GridSearchCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.HalvingGridSearchCV.html">HalvingGridSearchCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.HalvingRandomSearchCV.html">HalvingRandomSearchCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.ParameterGrid.html">ParameterGrid</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.ParameterSampler.html">ParameterSampler</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.RandomizedSearchCV.html">RandomizedSearchCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.FixedThresholdClassifier.html">FixedThresholdClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.TunedThresholdClassifierCV.html">TunedThresholdClassifierCV</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.cross_val_predict.html">cross_val_predict</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.cross_val_score.html">cross_val_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.cross_validate.html">cross_validate</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.learning_curve.html">learning_curve</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.permutation_test_score.html">permutation_test_score</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.validation_curve.html">validation_curve</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.LearningCurveDisplay.html">LearningCurveDisplay</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.model_selection.ValidationCurveDisplay.html">ValidationCurveDisplay</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.multiclass.html">sklearn.multiclass</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.multiclass.OneVsOneClassifier.html">OneVsOneClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.multiclass.OneVsRestClassifier.html">OneVsRestClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.multiclass.OutputCodeClassifier.html">OutputCodeClassifier</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.multioutput.html">sklearn.multioutput</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.multioutput.ClassifierChain.html">ClassifierChain</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.multioutput.MultiOutputClassifier.html">MultiOutputClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.multioutput.MultiOutputRegressor.html">MultiOutputRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.multioutput.RegressorChain.html">RegressorChain</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.naive_bayes.html">sklearn.naive_bayes</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.naive_bayes.BernoulliNB.html">BernoulliNB</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.naive_bayes.CategoricalNB.html">CategoricalNB</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.naive_bayes.ComplementNB.html">ComplementNB</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.naive_bayes.GaussianNB.html">GaussianNB</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.naive_bayes.MultinomialNB.html">MultinomialNB</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.neighbors.html">sklearn.neighbors</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.BallTree.html">BallTree</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.KDTree.html">KDTree</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.KNeighborsClassifier.html">KNeighborsClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.KNeighborsRegressor.html">KNeighborsRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.KNeighborsTransformer.html">KNeighborsTransformer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.KernelDensity.html">KernelDensity</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.LocalOutlierFactor.html">LocalOutlierFactor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.NearestCentroid.html">NearestCentroid</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.NearestNeighbors.html">NearestNeighbors</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.NeighborhoodComponentsAnalysis.html">NeighborhoodComponentsAnalysis</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.RadiusNeighborsClassifier.html">RadiusNeighborsClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.RadiusNeighborsRegressor.html">RadiusNeighborsRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.RadiusNeighborsTransformer.html">RadiusNeighborsTransformer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.kneighbors_graph.html">kneighbors_graph</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.radius_neighbors_graph.html">radius_neighbors_graph</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neighbors.sort_graph_by_row_values.html">sort_graph_by_row_values</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.neural_network.html">sklearn.neural_network</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neural_network.BernoulliRBM.html">BernoulliRBM</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neural_network.MLPClassifier.html">MLPClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.neural_network.MLPRegressor.html">MLPRegressor</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.pipeline.html">sklearn.pipeline</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.pipeline.FeatureUnion.html">FeatureUnion</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.pipeline.Pipeline.html">Pipeline</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.pipeline.make_pipeline.html">make_pipeline</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.pipeline.make_union.html">make_union</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.preprocessing.html">sklearn.preprocessing</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.Binarizer.html">Binarizer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.FunctionTransformer.html">FunctionTransformer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.KBinsDiscretizer.html">KBinsDiscretizer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.KernelCenterer.html">KernelCenterer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.LabelBinarizer.html">LabelBinarizer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.LabelEncoder.html">LabelEncoder</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.MaxAbsScaler.html">MaxAbsScaler</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.MinMaxScaler.html">MinMaxScaler</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.MultiLabelBinarizer.html">MultiLabelBinarizer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.Normalizer.html">Normalizer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.OneHotEncoder.html">OneHotEncoder</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.OrdinalEncoder.html">OrdinalEncoder</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.PolynomialFeatures.html">PolynomialFeatures</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.PowerTransformer.html">PowerTransformer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.QuantileTransformer.html">QuantileTransformer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.RobustScaler.html">RobustScaler</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.SplineTransformer.html">SplineTransformer</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.StandardScaler.html">StandardScaler</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.TargetEncoder.html">TargetEncoder</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.add_dummy_feature.html">add_dummy_feature</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.binarize.html">binarize</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.label_binarize.html">label_binarize</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.maxabs_scale.html">maxabs_scale</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.minmax_scale.html">minmax_scale</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.normalize.html">normalize</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.power_transform.html">power_transform</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.quantile_transform.html">quantile_transform</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.robust_scale.html">robust_scale</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.preprocessing.scale.html">scale</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.random_projection.html">sklearn.random_projection</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.random_projection.GaussianRandomProjection.html">GaussianRandomProjection</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.random_projection.SparseRandomProjection.html">SparseRandomProjection</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.random_projection.johnson_lindenstrauss_min_dim.html">johnson_lindenstrauss_min_dim</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.semi_supervised.html">sklearn.semi_supervised</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.semi_supervised.LabelPropagation.html">LabelPropagation</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.semi_supervised.LabelSpreading.html">LabelSpreading</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.semi_supervised.SelfTrainingClassifier.html">SelfTrainingClassifier</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.svm.html">sklearn.svm</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.svm.LinearSVC.html">LinearSVC</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.svm.LinearSVR.html">LinearSVR</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.svm.NuSVC.html">NuSVC</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.svm.NuSVR.html">NuSVR</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.svm.OneClassSVM.html">OneClassSVM</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.svm.SVC.html">SVC</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.svm.SVR.html">SVR</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.svm.l1_min_c.html">l1_min_c</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.tree.html">sklearn.tree</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.tree.DecisionTreeClassifier.html">DecisionTreeClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.tree.DecisionTreeRegressor.html">DecisionTreeRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.tree.ExtraTreeClassifier.html">ExtraTreeClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.tree.ExtraTreeRegressor.html">ExtraTreeRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.tree.export_graphviz.html">export_graphviz</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.tree.export_text.html">export_text</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.tree.plot_tree.html">plot_tree</a></li>
</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/sklearn.utils.html">sklearn.utils</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.Bunch.html">Bunch</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils._safe_indexing.html">_safe_indexing</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.as_float_array.html">as_float_array</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.assert_all_finite.html">assert_all_finite</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.deprecated.html">deprecated</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.estimator_html_repr.html">estimator_html_repr</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.gen_batches.html">gen_batches</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.gen_even_slices.html">gen_even_slices</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.indexable.html">indexable</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.murmurhash3_32.html">murmurhash3_32</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.resample.html">resample</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.safe_mask.html">safe_mask</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.safe_sqr.html">safe_sqr</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.shuffle.html">shuffle</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.Tags.html">Tags</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.InputTags.html">InputTags</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.TargetTags.html">TargetTags</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.ClassifierTags.html">ClassifierTags</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.RegressorTags.html">RegressorTags</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.TransformerTags.html">TransformerTags</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.get_tags.html">get_tags</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.check_X_y.html">check_X_y</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.check_array.html">check_array</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.check_consistent_length.html">check_consistent_length</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.check_random_state.html">check_random_state</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.check_scalar.html">check_scalar</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.validation.check_is_fitted.html">check_is_fitted</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.validation.check_memory.html">check_memory</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.validation.check_symmetric.html">check_symmetric</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.validation.column_or_1d.html">column_or_1d</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.validation.has_fit_parameter.html">has_fit_parameter</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.validation.validate_data.html">validate_data</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.metaestimators.available_if.html">available_if</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.class_weight.compute_class_weight.html">compute_class_weight</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.class_weight.compute_sample_weight.html">compute_sample_weight</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.multiclass.is_multilabel.html">is_multilabel</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.multiclass.type_of_target.html">type_of_target</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.multiclass.unique_labels.html">unique_labels</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.extmath.density.html">density</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.extmath.fast_logdet.html">fast_logdet</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.extmath.randomized_range_finder.html">randomized_range_finder</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.extmath.randomized_svd.html">randomized_svd</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.extmath.safe_sparse_dot.html">safe_sparse_dot</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.extmath.weighted_mode.html">weighted_mode</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.sparsefuncs.incr_mean_variance_axis.html">incr_mean_variance_axis</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.sparsefuncs.inplace_column_scale.html">inplace_column_scale</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.sparsefuncs.inplace_csr_column_scale.html">inplace_csr_column_scale</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.sparsefuncs.inplace_row_scale.html">inplace_row_scale</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.sparsefuncs.inplace_swap_column.html">inplace_swap_column</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.sparsefuncs.inplace_swap_row.html">inplace_swap_row</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.sparsefuncs.mean_variance_axis.html">mean_variance_axis</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.sparsefuncs_fast.inplace_csr_row_normalize_l1.html">inplace_csr_row_normalize_l1</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.sparsefuncs_fast.inplace_csr_row_normalize_l2.html">inplace_csr_row_normalize_l2</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.graph.single_source_shortest_path_length.html">single_source_shortest_path_length</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.random.sample_without_replacement.html">sample_without_replacement</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.arrayfuncs.min_pos.html">min_pos</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.metadata_routing.MetadataRequest.html">MetadataRequest</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.metadata_routing.MetadataRouter.html">MetadataRouter</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.metadata_routing.MethodMapping.html">MethodMapping</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.metadata_routing.get_routing_for_object.html">get_routing_for_object</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.metadata_routing.process_routing.html">process_routing</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.discovery.all_displays.html">all_displays</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.discovery.all_estimators.html">all_estimators</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.discovery.all_functions.html">all_functions</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.estimator_checks.check_estimator.html">check_estimator</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.estimator_checks.parametrize_with_checks.html">parametrize_with_checks</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.estimator_checks.estimator_checks_generator.html">estimator_checks_generator</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.parallel.Parallel.html">Parallel</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.parallel.delayed.html">delayed</a></li>
</ul>
</details></li>
</ul>
</div>
</nav></div>
</div>
<div class="sidebar-primary-items__end sidebar-primary__section">
</div>
</div>
<main id="main-content" class="bd-main" role="main">
<div class="bd-content">
<div class="bd-article-container">
<div class="bd-header-article d-print-none">
<div class="header-article-items header-article__inner">
<div class="header-article-items__start">
<div class="header-article-item">
<nav aria-label="Breadcrumb" class="d-print-none">
<ul class="bd-breadcrumbs">
<li class="breadcrumb-item breadcrumb-home">
<a href="../../index.html" class="nav-link" aria-label="Home">
<i class="fa-solid fa-home"></i>
</a>
</li>
<li class="breadcrumb-item"><a href="../../api/index.html" class="nav-link">API Reference</a></li>
<li class="breadcrumb-item"><a href="../../api/sklearn.cluster.html" class="nav-link">sklearn.cluster</a></li>
<li class="breadcrumb-item active" aria-current="page"><span class="ellipsis">dbscan</span></li>
</ul>
</nav>
</div>
</div>
</div>
</div>
<div id="searchbox"></div>
<article class="bd-article">
<section id="dbscan">
<h1>dbscan<a class="headerlink" href="#dbscan" title="Link to this heading">#</a></h1>
<dl class="py function">
<dt class="sig sig-object py" id="sklearn.cluster.dbscan">
<span class="sig-prename descclassname"><span class="pre">sklearn.cluster.</span></span><span class="sig-name descname"><span class="pre">dbscan</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_samples</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'minkowski'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">algorithm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">leaf_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_weight</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_jobs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/86d099ec1/sklearn/cluster/_dbscan.py#L22"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sklearn.cluster.dbscan" title="Link to this definition">#</a></dt>
<dd><p>Perform DBSCAN clustering from vector array or distance matrix.</p>
<p>Read more in the <a class="reference internal" href="../clustering.html#dbscan"><span class="std std-ref">User Guide</span></a>.</p>
<dl class="field-list">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl>
<dt><strong>X</strong><span class="classifier">{array-like, sparse (CSR) matrix} of shape (n_samples, n_features) or (n_samples, n_samples)</span></dt><dd><p>A feature array, or array of distances between samples if
<code class="docutils literal notranslate"><span class="pre">metric='precomputed'</span></code>.</p>
</dd>
<dt><strong>eps</strong><span class="classifier">float, default=0.5</span></dt><dd><p>The maximum distance between two samples for one to be considered
as in the neighborhood of the other. This is not a maximum bound
on the distances of points within a cluster. This is the most
important DBSCAN parameter to choose appropriately for your data set
and distance function.</p>
</dd>
<dt><strong>min_samples</strong><span class="classifier">int, default=5</span></dt><dd><p>The number of samples (or total weight) in a neighborhood for a point
to be considered as a core point. This includes the point itself.</p>
</dd>
<dt><strong>metric</strong><span class="classifier">str or callable, default=’minkowski’</span></dt><dd><p>The metric to use when calculating distance between instances in a
feature array. If metric is a string or callable, it must be one of
the options allowed by <a class="reference internal" href="sklearn.metrics.pairwise_distances.html#sklearn.metrics.pairwise_distances" title="sklearn.metrics.pairwise_distances"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.metrics.pairwise_distances</span></code></a> for
its metric parameter.
If metric is “precomputed”, X is assumed to be a distance matrix and
must be square during fit.
X may be a <a class="reference internal" href="../../glossary.html#term-sparse-graph"><span class="xref std std-term">sparse graph</span></a>,
in which case only “nonzero” elements may be considered neighbors.</p>
</dd>
<dt><strong>metric_params</strong><span class="classifier">dict, default=None</span></dt><dd><p>Additional keyword arguments for the metric function.</p>
<div class="versionadded">
<p><span class="versionmodified added">Added in version 0.19.</span></p>
</div>
</dd>
<dt><strong>algorithm</strong><span class="classifier">{‘auto’, ‘ball_tree’, ‘kd_tree’, ‘brute’}, default=’auto’</span></dt><dd><p>The algorithm to be used by the NearestNeighbors module
to compute pointwise distances and find nearest neighbors.
See NearestNeighbors module documentation for details.</p>
</dd>
<dt><strong>leaf_size</strong><span class="classifier">int, default=30</span></dt><dd><p>Leaf size passed to BallTree or cKDTree. This can affect the speed
of the construction and query, as well as the memory required
to store the tree. The optimal value depends
on the nature of the problem.</p>
</dd>
<dt><strong>p</strong><span class="classifier">float, default=2</span></dt><dd><p>The power of the Minkowski metric to be used to calculate distance
between points.</p>
</dd>
<dt><strong>sample_weight</strong><span class="classifier">array-like of shape (n_samples,), default=None</span></dt><dd><p>Weight of each sample, such that a sample with a weight of at least
<code class="docutils literal notranslate"><span class="pre">min_samples</span></code> is by itself a core sample; a sample with negative
weight may inhibit its eps-neighbor from being core.
Note that weights are absolute, and default to 1.</p>
</dd>
<dt><strong>n_jobs</strong><span class="classifier">int, default=None</span></dt><dd><p>The number of parallel jobs to run for neighbors search. <code class="docutils literal notranslate"><span class="pre">None</span></code> means
1 unless in a <a class="reference external" href="https://joblib.readthedocs.io/en/latest/generated/joblib.parallel_backend.html#joblib.parallel_backend" title="(in joblib v1.5.dev0)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">joblib.parallel_backend</span></code></a> context. <code class="docutils literal notranslate"><span class="pre">-1</span></code> means
using all processors. See <a class="reference internal" href="../../glossary.html#term-n_jobs"><span class="xref std std-term">Glossary</span></a> for more details.
If precomputed distance are used, parallel execution is not available
and thus n_jobs will have no effect.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl class="simple">
<dt><strong>core_samples</strong><span class="classifier">ndarray of shape (n_core_samples,)</span></dt><dd><p>Indices of core samples.</p>
</dd>
<dt><strong>labels</strong><span class="classifier">ndarray of shape (n_samples,)</span></dt><dd><p>Cluster labels for each point. Noisy samples are given the label -1.</p>
</dd>
</dl>
</dd>
</dl>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<dl class="simple">
<dt><a class="reference internal" href="sklearn.cluster.DBSCAN.html#sklearn.cluster.DBSCAN" title="sklearn.cluster.DBSCAN"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DBSCAN</span></code></a></dt><dd><p>An estimator interface for this clustering algorithm.</p>
</dd>
<dt><a class="reference internal" href="sklearn.cluster.OPTICS.html#sklearn.cluster.OPTICS" title="sklearn.cluster.OPTICS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OPTICS</span></code></a></dt><dd><p>A similar estimator interface clustering at multiple values of eps. Our implementation is optimized for memory usage.</p>
</dd>
</dl>
</div>
<p class="rubric">Notes</p>
<p>For an example, see <a class="reference internal" href="../../auto_examples/cluster/plot_dbscan.html#sphx-glr-auto-examples-cluster-plot-dbscan-py"><span class="std std-ref">Demo of DBSCAN clustering algorithm</span></a>.</p>
<p>This implementation bulk-computes all neighborhood queries, which increases
the memory complexity to O(n.d) where d is the average number of neighbors,
while original DBSCAN had memory complexity O(n). It may attract a higher
memory complexity when querying these nearest neighborhoods, depending
on the <code class="docutils literal notranslate"><span class="pre">algorithm</span></code>.</p>
<p>One way to avoid the query complexity is to pre-compute sparse
neighborhoods in chunks using
<a class="reference internal" href="sklearn.neighbors.NearestNeighbors.html#sklearn.neighbors.NearestNeighbors.radius_neighbors_graph" title="sklearn.neighbors.NearestNeighbors.radius_neighbors_graph"><code class="xref py py-func docutils literal notranslate"><span class="pre">NearestNeighbors.radius_neighbors_graph</span></code></a> with
<code class="docutils literal notranslate"><span class="pre">mode='distance'</span></code>, then using <code class="docutils literal notranslate"><span class="pre">metric='precomputed'</span></code> here.</p>
<p>Another way to reduce memory and computation time is to remove
(near-)duplicate points and use <code class="docutils literal notranslate"><span class="pre">sample_weight</span></code> instead.</p>
<p><a class="reference internal" href="sklearn.cluster.OPTICS.html#sklearn.cluster.OPTICS" title="sklearn.cluster.OPTICS"><code class="xref py py-class docutils literal notranslate"><span class="pre">OPTICS</span></code></a> provides a similar clustering with lower
memory usage.</p>
<p class="rubric">References</p>
<p>Ester, M., H. P. Kriegel, J. Sander, and X. Xu, <a class="reference external" href="https://www.dbs.ifi.lmu.de/Publikationen/Papers/KDD-96.final.frame.pdf">“A Density-Based
Algorithm for Discovering Clusters in Large Spatial Databases with Noise”</a>.
In: Proceedings of the 2nd International Conference on Knowledge Discovery
and Data Mining, Portland, OR, AAAI Press, pp. 226-231. 1996</p>
<p>Schubert, E., Sander, J., Ester, M., Kriegel, H. P., & Xu, X. (2017).
<a class="reference external" href="https://doi.org/10.1145/3068335">“DBSCAN revisited, revisited: why and how you should (still) use DBSCAN.”</a>
ACM Transactions on Database Systems (TODS), 42(3), 19.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">from</span><span class="w"> </span><span class="nn">sklearn.cluster</span><span class="w"> </span><span class="kn">import</span> <span class="n">dbscan</span>
<span class="gp">>>> </span><span class="n">X</span> <span class="o">=</span> <span class="p">[[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="p">[</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="p">[</span><span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="p">[</span><span class="mi">8</span><span class="p">,</span> <span class="mi">7</span><span class="p">],</span> <span class="p">[</span><span class="mi">8</span><span class="p">,</span> <span class="mi">8</span><span class="p">],</span> <span class="p">[</span><span class="mi">25</span><span class="p">,</span> <span class="mi">80</span><span class="p">]]</span>
<span class="gp">>>> </span><span class="n">core_samples</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">dbscan</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">eps</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">min_samples</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">core_samples</span>
<span class="go">array([0, 1, 2, 3, 4])</span>
<span class="gp">>>> </span><span class="n">labels</span>
<span class="go">array([ 0, 0, 0, 1, 1, -1])</span>
</pre></div>
</div>
</dd></dl>
</section>
</article>
<footer class="bd-footer-article">
<div class="footer-article-items footer-article__inner">
<div class="footer-article-item">
<div class="prev-next-area">
<a class="left-prev"
href="sklearn.cluster.compute_optics_graph.html"
title="previous page">
<i class="fa-solid fa-angle-left"></i>
<div class="prev-next-info">
<p class="prev-next-subtitle">previous</p>
<p class="prev-next-title">compute_optics_graph</p>
</div>
</a>
<a class="right-next"
href="sklearn.cluster.estimate_bandwidth.html"
title="next page">
<div class="prev-next-info">
<p class="prev-next-subtitle">next</p>
<p class="prev-next-title">estimate_bandwidth</p>
</div>
<i class="fa-solid fa-angle-right"></i>
</a>
</div></div>
</div>
</footer>
</div>
<dialog id="pst-secondary-sidebar-modal"></dialog>
<div id="pst-secondary-sidebar" class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
<div class="sidebar-secondary-item">
<div
id="pst-page-navigation-heading-2"
class="page-toc tocsection onthispage">
<i class="fa-solid fa-list"></i> On this page
</div>
<nav class="bd-toc-nav page-toc" aria-labelledby="pst-page-navigation-heading-2">
<ul class="visible nav section-nav flex-column">
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sklearn.cluster.dbscan"><code class="docutils literal notranslate"><span class="pre">dbscan</span></code></a></li>
</ul>
</nav></div>
<div class="sidebar-secondary-item">
<div role="note" aria-label="source link">
<h3>This Page</h3>
<ul class="this-page-menu">
<li><a href="../../_sources/modules/generated/dbscan-function.rst.txt"
rel="nofollow">Show Source</a></li>
</ul>
</div></div>
</div></div>
</div>
<footer class="bd-footer-content">
</footer>
</main>
</div>
</div>
<!-- Scripts loaded after <body> so the DOM is not blocked -->
<script defer src="../../_static/scripts/bootstrap.js?digest=8878045cc6db502f8baf"></script>
<script defer src="../../_static/scripts/pydata-sphinx-theme.js?digest=8878045cc6db502f8baf"></script>
<footer class="bd-footer">
<div class="bd-footer__inner bd-page-width">
<div class="footer-items__start">
<div class="footer-item">
<p class="copyright">
© Copyright 2007 - 2025, scikit-learn developers (BSD License).
<br/>
</p>
</div>
</div>
</div>
</footer>
</body>
</html>