[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-468":3},{"id":4,"name":5,"fullName":6,"owner":5,"repo":5,"description":7,"homepage":8,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":9,"rankLanguage":9,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":24,"hasPages":22,"topics":25,"createdAt":9,"pushedAt":9,"updatedAt":31,"readmeContent":32,"aiSummary":33,"trendingCount":15,"starSnapshotCount":15,"syncStatus":34,"lastSyncTime":35,"discoverSource":36},468,"scikit-learn","scikit-learn\u002Fscikit-learn","scikit-learn: machine learning in Python","https:\u002F\u002Fscikit-learn.org",null,"Python",66292,27060,2122,1518,0,6,55,291,23,45,"BSD 3-Clause \"New\" or \"Revised\" License",false,"main",true,[26,27,28,29,30],"data-analysis","data-science","machine-learning","python","statistics","2026-06-12 02:00:14",".. -*- mode: rst -*-\n\n|GitHubActions| |Codecov| |CircleCI| |Nightly wheels| |Ruff| |PythonVersion| |PyPI| |DOI| |Benchmark|\n\n\n.. |GitHubActions| image:: https:\u002F\u002Fgithub.com\u002Fscikit-learn\u002Fscikit-learn\u002Factions\u002Fworkflows\u002Funit-tests.yml\u002Fbadge.svg?\n   :target: https:\u002F\u002Fgithub.com\u002Fscikit-learn\u002Fscikit-learn\u002Factions\u002Fworkflows\u002Funit-tests.yml?query=branch%3Amain\n\n.. |CircleCI| image:: https:\u002F\u002Fcircleci.com\u002Fgh\u002Fscikit-learn\u002Fscikit-learn\u002Ftree\u002Fmain.svg?style=shield\n   :target: https:\u002F\u002Fcircleci.com\u002Fgh\u002Fscikit-learn\u002Fscikit-learn\n\n.. |Codecov| image:: https:\u002F\u002Fcodecov.io\u002Fgh\u002Fscikit-learn\u002Fscikit-learn\u002Fbranch\u002Fmain\u002Fgraph\u002Fbadge.svg?token=Pk8G9gg3y9\n   :target: https:\u002F\u002Fcodecov.io\u002Fgh\u002Fscikit-learn\u002Fscikit-learn\n\n.. |Nightly wheels| image:: https:\u002F\u002Fgithub.com\u002Fscikit-learn\u002Fscikit-learn\u002Factions\u002Fworkflows\u002Fwheels.yml\u002Fbadge.svg?event=schedule\n   :target: https:\u002F\u002Fgithub.com\u002Fscikit-learn\u002Fscikit-learn\u002Factions?query=workflow%3A%22Wheel+builder%22+event%3Aschedule\n\n.. |Ruff| image:: https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fcode%20style-ruff-000000.svg?\n   :target: https:\u002F\u002Fgithub.com\u002Fastral-sh\u002Fruff\n\n.. |PythonVersion| image:: https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fpyversions\u002Fscikit-learn.svg?\n   :target: https:\u002F\u002Fpypi.org\u002Fproject\u002Fscikit-learn\u002F\n\n.. |PyPI| image:: https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fv\u002Fscikit-learn\n   :target: https:\u002F\u002Fpypi.org\u002Fproject\u002Fscikit-learn\n\n.. |DOI| image:: https:\u002F\u002Fzenodo.org\u002Fbadge\u002FDOI\u002F10.5281\u002Fzenodo.17880109.svg?\n   :target: https:\u002F\u002Fzenodo.org\u002Fbadge\u002Flatestdoi\u002F21369\u002Fscikit-learn\u002Fscikit-learn\n\n.. |Benchmark| image:: https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FBenchmarked%20by-asv-blue\n   :target: https:\u002F\u002Fscikit-learn.org\u002Fscikit-learn-benchmarks\n\n.. |PythonMinVersion| replace:: 3.11\n.. |NumPyMinVersion| replace:: 1.24.1\n.. |SciPyMinVersion| replace:: 1.10.0\n.. |JoblibMinVersion| replace:: 1.3.0\n.. |ThreadpoolctlMinVersion| replace:: 3.2.0\n.. |MatplotlibMinVersion| replace:: 3.6.1\n.. |Scikit-ImageMinVersion| replace:: 0.22.0\n.. |PandasMinVersion| replace:: 1.5.0\n.. |SeabornMinVersion| replace:: 0.13.0\n.. |PytestMinVersion| replace:: 7.1.2\n.. |PlotlyMinVersion| replace:: 5.18.0\n\n.. image:: https:\u002F\u002Fraw.githubusercontent.com\u002Fscikit-learn\u002Fscikit-learn\u002Fmain\u002Fdoc\u002Flogos\u002Fscikit-learn-logo.png\n  :target: https:\u002F\u002Fscikit-learn.org\u002F\n\n**scikit-learn** is a Python module for machine learning built on top of\nSciPy and is distributed under the 3-Clause BSD license.\n\nThe project was started in 2007 by David Cournapeau as a Google Summer\nof Code project, and since then many volunteers have contributed. See\nthe `About us \u003Chttps:\u002F\u002Fscikit-learn.org\u002Fdev\u002Fabout.html#authors>`__ page\nfor a list of core contributors.\n\nIt is currently maintained by a team of volunteers.\n\nWebsite: https:\u002F\u002Fscikit-learn.org\n\nInstallation\n------------\n\nDependencies\n~~~~~~~~~~~~\n\nscikit-learn requires:\n\n- Python (>= |PythonMinVersion|)\n- NumPy (>= |NumPyMinVersion|)\n- SciPy (>= |SciPyMinVersion|)\n- joblib (>= |JoblibMinVersion|)\n- threadpoolctl (>= |ThreadpoolctlMinVersion|)\n\n=======\n\nScikit-learn plotting capabilities (i.e., functions start with ``plot_`` and\nclasses end with ``Display``) require Matplotlib (>= |MatplotlibMinVersion|).\nFor running the examples Matplotlib >= |MatplotlibMinVersion| is required.\nA few examples require scikit-image >= |Scikit-ImageMinVersion|, a few examples\nrequire pandas >= |PandasMinVersion|, some examples require seaborn >=\n|SeabornMinVersion| and Plotly >= |PlotlyMinVersion|.\n\nUser installation\n~~~~~~~~~~~~~~~~~\n\nIf you already have a working installation of NumPy and SciPy,\nthe easiest way to install scikit-learn is using ``pip``::\n\n    pip install -U scikit-learn\n\nor ``conda``::\n\n    conda install -c conda-forge scikit-learn\n\nThe documentation includes more detailed `installation instructions \u003Chttps:\u002F\u002Fscikit-learn.org\u002Fstable\u002Finstall.html>`_.\n\n\nChangelog\n---------\n\nSee the `changelog \u003Chttps:\u002F\u002Fscikit-learn.org\u002Fdev\u002Fwhats_new.html>`__\nfor a history of notable changes to scikit-learn.\n\nDevelopment\n-----------\n\nWe welcome new contributors of all experience levels. The scikit-learn\ncommunity goals are to be helpful, welcoming, and effective. The\n`Development Guide \u003Chttps:\u002F\u002Fscikit-learn.org\u002Fstable\u002Fdevelopers\u002Findex.html>`_\nhas detailed information about contributing code, documentation, tests, and\nmore. We've included some basic information in this README.\n\nImportant links\n~~~~~~~~~~~~~~~\n\n- Official source code repo: https:\u002F\u002Fgithub.com\u002Fscikit-learn\u002Fscikit-learn\n- Download releases: https:\u002F\u002Fpypi.org\u002Fproject\u002Fscikit-learn\u002F\n- Issue tracker: https:\u002F\u002Fgithub.com\u002Fscikit-learn\u002Fscikit-learn\u002Fissues\n\nSource code\n~~~~~~~~~~~\n\nYou can check the latest sources with the command::\n\n    git clone https:\u002F\u002Fgithub.com\u002Fscikit-learn\u002Fscikit-learn.git\n\nContributing\n~~~~~~~~~~~~\n\nTo learn more about making a contribution to scikit-learn, please see our\n`Contributing guide\n\u003Chttps:\u002F\u002Fscikit-learn.org\u002Fdev\u002Fdevelopers\u002Fcontributing.html>`_.\n\nTesting\n~~~~~~~\n\nAfter installation, you can launch the test suite from outside the source\ndirectory (you will need to have ``pytest`` >= |PytestMinVersion| installed)::\n\n    pytest sklearn\n\nSee the web page https:\u002F\u002Fscikit-learn.org\u002Fdev\u002Fdevelopers\u002Fcontributing.html#testing-and-improving-test-coverage\nfor more information.\n\n    Random number generation can be controlled during testing by setting\n    the ``SKLEARN_SEED`` environment variable.\n\nSubmitting a Pull Request\n~~~~~~~~~~~~~~~~~~~~~~~~~\n\nBefore opening a Pull Request, have a look at the\nfull Contributing page to make sure your code complies\nwith our guidelines: https:\u002F\u002Fscikit-learn.org\u002Fstable\u002Fdevelopers\u002Findex.html\n\nProject History\n---------------\n\nThe project was started in 2007 by David Cournapeau as a Google Summer\nof Code project, and since then many volunteers have contributed. See\nthe `About us \u003Chttps:\u002F\u002Fscikit-learn.org\u002Fdev\u002Fabout.html#authors>`__ page\nfor a list of core contributors.\n\nThe project is currently maintained by a team of volunteers.\n\n**Note**: `scikit-learn` was previously referred to as `scikits.learn`.\n\nHelp and Support\n----------------\n\nDocumentation\n~~~~~~~~~~~~~\n\n- HTML documentation (stable release): https:\u002F\u002Fscikit-learn.org\n- HTML documentation (development version): https:\u002F\u002Fscikit-learn.org\u002Fdev\u002F\n- FAQ: https:\u002F\u002Fscikit-learn.org\u002Fstable\u002Ffaq.html\n\nCommunication\n~~~~~~~~~~~~~\n\nMain Channels\n^^^^^^^^^^^^^\n\n- **Website**: https:\u002F\u002Fscikit-learn.org\n- **Blog**: https:\u002F\u002Fblog.scikit-learn.org\n- **Mailing list**: https:\u002F\u002Fmail.python.org\u002Fmailman\u002Flistinfo\u002Fscikit-learn\n\nDeveloper & Support\n^^^^^^^^^^^^^^^^^^^^^^\n\n- **GitHub Discussions**: https:\u002F\u002Fgithub.com\u002Fscikit-learn\u002Fscikit-learn\u002Fdiscussions\n- **Stack Overflow**: https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002Ftagged\u002Fscikit-learn\n- **Discord**: https:\u002F\u002Fdiscord.gg\u002Fh9qyrK8Jc8\n\nSocial Media Platforms\n^^^^^^^^^^^^^^^^^^^^^^\n\n- **LinkedIn**: https:\u002F\u002Fwww.linkedin.com\u002Fcompany\u002Fscikit-learn\n- **YouTube**: https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCJosFjYm0ZYVUARxuOZqnnw\u002Fplaylists\n- **Facebook**: https:\u002F\u002Fwww.facebook.com\u002Fscikitlearnofficial\u002F\n- **Instagram**: https:\u002F\u002Fwww.instagram.com\u002Fscikitlearnofficial\u002F\n- **TikTok**: https:\u002F\u002Fwww.tiktok.com\u002F@scikit.learn\n- **Bluesky**: https:\u002F\u002Fbsky.app\u002Fprofile\u002Fscikit-learn.org\n- **Mastodon**: https:\u002F\u002Fmastodon.social\u002F@sklearn@fosstodon.org\n\nResources\n^^^^^^^^^\n\n- **Calendar**: https:\u002F\u002Fblog.scikit-learn.org\u002Fcalendar\u002F\n- **Logos & Branding**: https:\u002F\u002Fgithub.com\u002Fscikit-learn\u002Fscikit-learn\u002Ftree\u002Fmain\u002Fdoc\u002Flogos\n\nCitation\n~~~~~~~~\n\nIf you use scikit-learn in a scientific publication, we would appreciate citations: https:\u002F\u002Fscikit-learn.org\u002Fstable\u002Fabout.html#citing-scikit-learn\n","scikit-learn 是一个基于 Python 的机器学习库，构建于 SciPy 之上。它提供了丰富的算法和工具，用于数据预处理、分类、回归、聚类、降维、模型选择和评估等任务。该项目支持多种监督和非监督学习方法，并且具备良好的文档和社区支持。scikit-learn 的核心功能包括高效的数值计算、一致的 API 设计以及易于使用的接口。它适用于各种数据分析和科学计算场景，特别适合需要快速原型开发和实验的数据科学家和工程师。",2,"2026-06-11 02:36:13","top_all"]