<!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="lasso_path" />
<meta property="og:type" content="website" />
<meta property="og:url" content="https://scikit-learn/stable/modules/generated/sklearn.linear_model.lasso_path.html" />
<meta property="og:site_name" content="scikit-learn" />
<meta property="og:description" content="Gallery examples: Lasso, Lasso-LARS, and Elastic Net paths" />
<meta property="og:image" content="https://scikit-learn/stable/_images/sphx_glr_plot_lasso_lasso_lars_elasticnet_path_thumb.png" />
<meta property="og:image:alt" content="" />
<meta name="description" content="Gallery examples: Lasso, Lasso-LARS, and Elastic Net paths" />
<title>lasso_path — scikit-learn 1.6.dev0 documentation</title>
<script data-cfasync="false">
document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
document.documentElement.dataset.theme = localStorage.getItem("theme") || "";
</script>
<!-- Loaded before other Sphinx assets -->
<link href="../../_static/styles/theme.css?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
<link href="../../_static/styles/bootstrap.css?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
<link href="../../_static/styles/pydata-sphinx-theme.css?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
<link href="../../_static/vendor/fontawesome/6.5.2/css/all.min.css?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.2/webfonts/fa-solid-900.woff2" />
<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.2/webfonts/fa-brands-400.woff2" />
<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.2/webfonts/fa-regular-400.woff2" />
<link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=a746c00c" />
<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=ca70e7f1" />
<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=e340c087" />
<!-- Pre-loaded scripts that we'll load fully later -->
<link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=dfe6caa3a7d634c4db9b" />
<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
<script src="../../_static/vendor/fontawesome/6.5.2/js/all.min.js?digest=dfe6caa3a7d634c4db9b"></script>
<script src="../../_static/documentation_options.js?v=d875d36e"></script>
<script src="../../_static/doctools.js?v=9a2dae69"></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=d6bdf5f8"></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/sklearn.linear_model.lasso_path';</script>
<script>
DOCUMENTATION_OPTIONS.theme_version = '0.15.4';
DOCUMENTATION_OPTIONS.theme_switcher_json_url = 'https://scikit-learn.org/dev/_static/versions.json';
DOCUMENTATION_OPTIONS.theme_switcher_version_match = '1.6.dev0';
DOCUMENTATION_OPTIONS.show_version_warning_banner = true;
</script>
<script src="../../_static/scripts/dropdown.js?v=e2048168"></script>
<script src="../../_static/scripts/version-switcher.js?v=a6dd8357"></script>
<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="orthogonal_mp" href="sklearn.linear_model.orthogonal_mp.html" />
<link rel="prev" title="lars_path_gram" href="sklearn.linear_model.lars_path_gram.html" />
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<meta name="docsearch:language" content="en"/>
</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>
<input type="checkbox"
class="sidebar-toggle"
id="pst-primary-sidebar-checkbox"/>
<label class="overlay overlay-primary" for="pst-primary-sidebar-checkbox"></label>
<input type="checkbox"
class="sidebar-toggle"
id="pst-secondary-sidebar-checkbox"/>
<label class="overlay overlay-secondary" for="pst-secondary-sidebar-checkbox"></label>
<div class="search-button__wrapper">
<div class="search-button__overlay"></div>
<div class="search-button__search-container">
<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"
id="search-input"
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></div>
</div>
<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"/>
<script>document.write(`<img src="../../_static/scikit-learn-logo-small.png" class="logo__image only-dark" alt="scikit-learn homepage"/>`);</script>
</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">
<script>
document.write(`
<button class="btn btn-sm pst-navbar-icon search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="fa-solid fa-magnifying-glass fa-lg"></i>
</button>
`);
</script>
</div>
<div class="navbar-item">
<script>
document.write(`
<button class="btn btn-sm nav-link pst-navbar-icon theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="theme-switch fa-solid fa-sun fa-lg" data-mode="light"></i>
<i class="theme-switch fa-solid fa-moon fa-lg" data-mode="dark"></i>
<i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto"></i>
</button>
`);
</script></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">
<script>
document.write(`
<div class="version-switcher__container dropdown">
<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>
`);
</script></div>
</div>
</div>
<div class="navbar-persistent--mobile">
<script>
document.write(`
<button class="btn btn-sm pst-navbar-icon search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="fa-solid fa-magnifying-glass fa-lg"></i>
</button>
`);
</script>
</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">
<div 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">
<script>
document.write(`
<button class="btn btn-sm nav-link pst-navbar-icon theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="theme-switch fa-solid fa-sun fa-lg" data-mode="light"></i>
<i class="theme-switch fa-solid fa-moon fa-lg" data-mode="dark"></i>
<i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto"></i>
</button>
`);
</script></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">
<script>
document.write(`
<div class="version-switcher__container dropdown">
<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>
`);
</script></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>
</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 has-children"><a class="reference internal" href="../../api/sklearn.cluster.html">sklearn.cluster</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.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"><a class="reference internal" href="dbscan-function.html">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>
</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 current active has-children"><a class="reference internal" href="../../api/sklearn.linear_model.html">sklearn.linear_model</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.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 current active"><a class="current reference internal" href="#">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.default_tags.html">default_tags</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.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>
<li class="toctree-l1 has-children"><a class="reference internal" href="../../api/deprecated.html">Recently Deprecated</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.parallel_backend.html">parallel_backend</a></li>
<li class="toctree-l2"><a class="reference internal" href="sklearn.utils.register_parallel_backend.html">register_parallel_backend</a></li>
</ul>
</details></li>
</ul>
</div>
</nav></div>
</div>
<div class="sidebar-primary-items__end sidebar-primary__section">
</div>
<div id="rtd-footer-container"></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.linear_model.html" class="nav-link">sklearn.linear_model</a></li>
<li class="breadcrumb-item active" aria-current="page">lasso_path</li>
</ul>
</nav>
</div>
</div>
</div>
</div>
<div id="searchbox"></div>
<article class="bd-article">
<section id="lasso-path">
<h1>lasso_path<a class="headerlink" href="#lasso-path" title="Link to this heading">#</a></h1>
<dl class="py function">
<dt class="sig sig-object py" id="sklearn.linear_model.lasso_path">
<span class="sig-prename descclassname"><span class="pre">sklearn.linear_model.</span></span><span class="sig-name descname"><span class="pre">lasso_path</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">y</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">eps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.001</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_alphas</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alphas</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">precompute</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">Xy</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">copy_X</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coef_init</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">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_n_iter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">positive</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/4ee3afa55/sklearn/linear_model/_coordinate_descent.py#L184"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sklearn.linear_model.lasso_path" title="Link to this definition">#</a></dt>
<dd><p>Compute Lasso path with coordinate descent.</p>
<p>The Lasso optimization function varies for mono and multi-outputs.</p>
<p>For mono-output tasks it is:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="p">(</span><span class="mi">1</span> <span class="o">/</span> <span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">n_samples</span><span class="p">))</span> <span class="o">*</span> <span class="o">||</span><span class="n">y</span> <span class="o">-</span> <span class="n">Xw</span><span class="o">||^</span><span class="mi">2_2</span> <span class="o">+</span> <span class="n">alpha</span> <span class="o">*</span> <span class="o">||</span><span class="n">w</span><span class="o">||</span><span class="n">_1</span>
</pre></div>
</div>
<p>For multi-output tasks it is:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="p">(</span><span class="mi">1</span> <span class="o">/</span> <span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">n_samples</span><span class="p">))</span> <span class="o">*</span> <span class="o">||</span><span class="n">Y</span> <span class="o">-</span> <span class="n">XW</span><span class="o">||^</span><span class="mi">2</span><span class="n">_Fro</span> <span class="o">+</span> <span class="n">alpha</span> <span class="o">*</span> <span class="o">||</span><span class="n">W</span><span class="o">||</span><span class="n">_21</span>
</pre></div>
</div>
<p>Where:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o">||</span><span class="n">W</span><span class="o">||</span><span class="n">_21</span> <span class="o">=</span> \<span class="n">sum_i</span> \<span class="n">sqrt</span><span class="p">{</span>\<span class="n">sum_j</span> <span class="n">w_</span><span class="p">{</span><span class="n">ij</span><span class="p">}</span><span class="o">^</span><span class="mi">2</span><span class="p">}</span>
</pre></div>
</div>
<p>i.e. the sum of norm of each row.</p>
<p>Read more in the <a class="reference internal" href="../linear_model.html#lasso"><span class="std std-ref">User Guide</span></a>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>X</strong><span class="classifier">{array-like, sparse matrix} of shape (n_samples, n_features)</span></dt><dd><p>Training data. Pass directly as Fortran-contiguous data to avoid
unnecessary memory duplication. If <code class="docutils literal notranslate"><span class="pre">y</span></code> is mono-output then <code class="docutils literal notranslate"><span class="pre">X</span></code>
can be sparse.</p>
</dd>
<dt><strong>y</strong><span class="classifier">{array-like, sparse matrix} of shape (n_samples,) or (n_samples, n_targets)</span></dt><dd><p>Target values.</p>
</dd>
<dt><strong>eps</strong><span class="classifier">float, default=1e-3</span></dt><dd><p>Length of the path. <code class="docutils literal notranslate"><span class="pre">eps=1e-3</span></code> means that
<code class="docutils literal notranslate"><span class="pre">alpha_min</span> <span class="pre">/</span> <span class="pre">alpha_max</span> <span class="pre">=</span> <span class="pre">1e-3</span></code>.</p>
</dd>
<dt><strong>n_alphas</strong><span class="classifier">int, default=100</span></dt><dd><p>Number of alphas along the regularization path.</p>
</dd>
<dt><strong>alphas</strong><span class="classifier">array-like, default=None</span></dt><dd><p>List of alphas where to compute the models.
If <code class="docutils literal notranslate"><span class="pre">None</span></code> alphas are set automatically.</p>
</dd>
<dt><strong>precompute</strong><span class="classifier">‘auto’, bool or array-like of shape (n_features, n_features), default=’auto’</span></dt><dd><p>Whether to use a precomputed Gram matrix to speed up
calculations. If set to <code class="docutils literal notranslate"><span class="pre">'auto'</span></code> let us decide. The Gram
matrix can also be passed as argument.</p>
</dd>
<dt><strong>Xy</strong><span class="classifier">array-like of shape (n_features,) or (n_features, n_targets), default=None</span></dt><dd><p>Xy = np.dot(X.T, y) that can be precomputed. It is useful
only when the Gram matrix is precomputed.</p>
</dd>
<dt><strong>copy_X</strong><span class="classifier">bool, default=True</span></dt><dd><p>If <code class="docutils literal notranslate"><span class="pre">True</span></code>, X will be copied; else, it may be overwritten.</p>
</dd>
<dt><strong>coef_init</strong><span class="classifier">array-like of shape (n_features, ), default=None</span></dt><dd><p>The initial values of the coefficients.</p>
</dd>
<dt><strong>verbose</strong><span class="classifier">bool or int, default=False</span></dt><dd><p>Amount of verbosity.</p>
</dd>
<dt><strong>return_n_iter</strong><span class="classifier">bool, default=False</span></dt><dd><p>Whether to return the number of iterations or not.</p>
</dd>
<dt><strong>positive</strong><span class="classifier">bool, default=False</span></dt><dd><p>If set to True, forces coefficients to be positive.
(Only allowed when <code class="docutils literal notranslate"><span class="pre">y.ndim</span> <span class="pre">==</span> <span class="pre">1</span></code>).</p>
</dd>
<dt><strong>**params</strong><span class="classifier">kwargs</span></dt><dd><p>Keyword arguments passed to the coordinate descent solver.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl class="simple">
<dt><strong>alphas</strong><span class="classifier">ndarray of shape (n_alphas,)</span></dt><dd><p>The alphas along the path where models are computed.</p>
</dd>
<dt><strong>coefs</strong><span class="classifier">ndarray of shape (n_features, n_alphas) or (n_targets, n_features, n_alphas)</span></dt><dd><p>Coefficients along the path.</p>
</dd>
<dt><strong>dual_gaps</strong><span class="classifier">ndarray of shape (n_alphas,)</span></dt><dd><p>The dual gaps at the end of the optimization for each alpha.</p>
</dd>
<dt><strong>n_iters</strong><span class="classifier">list of int</span></dt><dd><p>The number of iterations taken by the coordinate descent optimizer to
reach the specified tolerance for each alpha.</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.linear_model.lars_path.html#sklearn.linear_model.lars_path" title="sklearn.linear_model.lars_path"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lars_path</span></code></a></dt><dd><p>Compute Least Angle Regression or Lasso path using LARS algorithm.</p>
</dd>
<dt><a class="reference internal" href="sklearn.linear_model.Lasso.html#sklearn.linear_model.Lasso" title="sklearn.linear_model.Lasso"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Lasso</span></code></a></dt><dd><p>The Lasso is a linear model that estimates sparse coefficients.</p>
</dd>
<dt><a class="reference internal" href="sklearn.linear_model.LassoLars.html#sklearn.linear_model.LassoLars" title="sklearn.linear_model.LassoLars"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LassoLars</span></code></a></dt><dd><p>Lasso model fit with Least Angle Regression a.k.a. Lars.</p>
</dd>
<dt><a class="reference internal" href="sklearn.linear_model.LassoCV.html#sklearn.linear_model.LassoCV" title="sklearn.linear_model.LassoCV"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LassoCV</span></code></a></dt><dd><p>Lasso linear model with iterative fitting along a regularization path.</p>
</dd>
<dt><a class="reference internal" href="sklearn.linear_model.LassoLarsCV.html#sklearn.linear_model.LassoLarsCV" title="sklearn.linear_model.LassoLarsCV"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LassoLarsCV</span></code></a></dt><dd><p>Cross-validated Lasso using the LARS algorithm.</p>
</dd>
<dt><a class="reference internal" href="sklearn.decomposition.sparse_encode.html#sklearn.decomposition.sparse_encode" title="sklearn.decomposition.sparse_encode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sklearn.decomposition.sparse_encode</span></code></a></dt><dd><p>Estimator that can be used to transform signals into sparse linear combination of atoms from a fixed.</p>
</dd>
</dl>
</div>
<p class="rubric">Notes</p>
<p>For an example, see
<a class="reference internal" href="../../auto_examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.html#sphx-glr-auto-examples-linear-model-plot-lasso-lasso-lars-elasticnet-path-py"><span class="std std-ref">examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.py</span></a>.</p>
<p>To avoid unnecessary memory duplication the X argument of the fit method
should be directly passed as a Fortran-contiguous numpy array.</p>
<p>Note that in certain cases, the Lars solver may be significantly
faster to implement this functionality. In particular, linear
interpolation can be used to retrieve model coefficients between the
values output by lars_path</p>
<p class="rubric">Examples</p>
<p>Comparing lasso_path and lars_path with interpolation:</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="gp">>>> </span><span class="kn">from</span> <span class="nn">sklearn.linear_model</span> <span class="kn">import</span> <span class="n">lasso_path</span>
<span class="gp">>>> </span><span class="n">X</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</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="mf">3.1</span><span class="p">],</span> <span class="p">[</span><span class="mf">2.3</span><span class="p">,</span> <span class="mf">5.4</span><span class="p">,</span> <span class="mf">4.3</span><span class="p">]])</span><span class="o">.</span><span class="n">T</span>
<span class="gp">>>> </span><span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</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="mf">3.1</span><span class="p">])</span>
<span class="gp">>>> </span><span class="c1"># Use lasso_path to compute a coefficient path</span>
<span class="gp">>>> </span><span class="n">_</span><span class="p">,</span> <span class="n">coef_path</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">lasso_path</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">alphas</span><span class="o">=</span><span class="p">[</span><span class="mf">5.</span><span class="p">,</span> <span class="mf">1.</span><span class="p">,</span> <span class="mf">.5</span><span class="p">])</span>
<span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="n">coef_path</span><span class="p">)</span>
<span class="go">[[0. 0. 0.46874778]</span>
<span class="go"> [0.2159048 0.4425765 0.23689075]]</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="c1"># Now use lars_path and 1D linear interpolation to compute the</span>
<span class="gp">>>> </span><span class="c1"># same path</span>
<span class="gp">>>> </span><span class="kn">from</span> <span class="nn">sklearn.linear_model</span> <span class="kn">import</span> <span class="n">lars_path</span>
<span class="gp">>>> </span><span class="n">alphas</span><span class="p">,</span> <span class="n">active</span><span class="p">,</span> <span class="n">coef_path_lars</span> <span class="o">=</span> <span class="n">lars_path</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="s1">'lasso'</span><span class="p">)</span>
<span class="gp">>>> </span><span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">interpolate</span>
<span class="gp">>>> </span><span class="n">coef_path_continuous</span> <span class="o">=</span> <span class="n">interpolate</span><span class="o">.</span><span class="n">interp1d</span><span class="p">(</span><span class="n">alphas</span><span class="p">[::</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span>
<span class="gp">... </span> <span class="n">coef_path_lars</span><span class="p">[:,</span> <span class="p">::</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
<span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="n">coef_path_continuous</span><span class="p">([</span><span class="mf">5.</span><span class="p">,</span> <span class="mf">1.</span><span class="p">,</span> <span class="mf">.5</span><span class="p">]))</span>
<span class="go">[[0. 0. 0.46915237]</span>
<span class="go"> [0.2159048 0.4425765 0.23668876]]</span>
</pre></div>
</div>
</dd></dl>
<section id="gallery-examples">
<h2>Gallery examples<a class="headerlink" href="#gallery-examples" title="Link to this heading">#</a></h2>
<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="This example shows how to compute the "paths" of coefficients along the Lasso, Lasso-LARS, and Elastic Net regularization paths. In other words, it shows the relationship between the regularization parameter (alpha) and the coefficients."><img alt="" src="../../_images/sphx_glr_plot_lasso_lasso_lars_elasticnet_path_thumb.png" />
<p><a class="reference internal" href="../../auto_examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.html#sphx-glr-auto-examples-linear-model-plot-lasso-lasso-lars-elasticnet-path-py"><span class="std std-ref">Lasso, Lasso-LARS, and Elastic Net paths</span></a></p>
<div class="sphx-glr-thumbnail-title">Lasso, Lasso-LARS, and Elastic Net paths</div>
</div></div></section>
</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.linear_model.lars_path_gram.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">lars_path_gram</p>
</div>
</a>
<a class="right-next"
href="sklearn.linear_model.orthogonal_mp.html"
title="next page">
<div class="prev-next-info">
<p class="prev-next-subtitle">next</p>
<p class="prev-next-title">orthogonal_mp</p>
</div>
<i class="fa-solid fa-angle-right"></i>
</a>
</div></div>
</div>
</footer>
</div>
<div 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.linear_model.lasso_path"><code class="docutils literal notranslate"><span class="pre">lasso_path</span></code></a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#gallery-examples">Gallery examples</a></li>
</ul>
</nav></div>
<div class="sidebar-secondary-item">
<div class="tocsection sourcelink">
<a href="../../_sources/modules/generated/sklearn.linear_model.lasso_path.rst.txt">
<i class="fa-solid fa-file-lines"></i> Show Source
</a>
</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 src="../../_static/scripts/bootstrap.js?digest=dfe6caa3a7d634c4db9b"></script>
<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b"></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 - 2024, scikit-learn developers (BSD License).
<br/>
</p>
</div>
</div>
</div>
</footer>
</body>
</html>