{"id":14958197,"url":"https://github.com/scikit-learn/scikit-learn-feedstock","last_synced_at":"2025-10-19T07:31:32.901Z","repository":{"id":65980057,"uuid":"68119466","full_name":"scikit-learn/scikit-learn-feedstock","owner":"scikit-learn","description":"A conda-smithy repository for scikit-learn.","archived":false,"fork":false,"pushed_at":"2016-09-14T16:27:22.000Z","size":12,"stargazers_count":7,"open_issues_count":0,"forks_count":9,"subscribers_count":26,"default_branch":"master","last_synced_at":"2025-09-20T06:36:33.092Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/scikit-learn.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2016-09-13T15:06:12.000Z","updated_at":"2024-04-22T16:12:09.000Z","dependencies_parsed_at":"2023-02-19T18:15:36.850Z","dependency_job_id":null,"html_url":"https://github.com/scikit-learn/scikit-learn-feedstock","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/scikit-learn/scikit-learn-feedstock","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scikit-learn%2Fscikit-learn-feedstock","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scikit-learn%2Fscikit-learn-feedstock/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scikit-learn%2Fscikit-learn-feedstock/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scikit-learn%2Fscikit-learn-feedstock/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/scikit-learn","download_url":"https://codeload.github.com/scikit-learn/scikit-learn-feedstock/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scikit-learn%2Fscikit-learn-feedstock/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279294366,"owners_count":26141936,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-17T02:00:07.504Z","response_time":56,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-09-24T13:16:27.287Z","updated_at":"2025-10-19T07:31:32.631Z","avatar_url":"https://github.com/scikit-learn.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"About scikit-learn\n==================\n\nHome: http://scikit-learn.org/\n\nPackage license: BSD 3-Clause\n\nFeedstock license: BSD 3-Clause\n\nSummary: A set of python modules for machine learning and data mining\n\n\n\nInstalling scikit-learn\n=======================\n\nInstalling scikit-learn from the conda-forge channel can be achieved by adding conda-forge to your channels with:\n\n```\nconda config --add channels conda-forge\n```\n\nOnce the conda-forge channel has been enabled, scikit-learn can be installed with:\n\n```\nconda install scikit-learn\n```\n\nIt is possible to list all of the versions of scikit-learn available on your platform with:\n\n```\nconda search scikit-learn --channel conda-forge\n```\n\n\nAbout conda-forge\n=================\n\nconda-forge is a community-led conda channel of installable packages.\nIn order to provide high-quality builds, the process has been automated into the\nconda-forge GitHub organization. The conda-forge organization contains one repository\nfor each of the installable packages. Such a repository is known as a *feedstock*.\n\nA feedstock is made up of a conda recipe (the instructions on what and how to build\nthe package) and the necessary configurations for automatic building using freely\navailable continuous integration services. Thanks to the awesome service provided by\n[CircleCI](https://circleci.com/), [AppVeyor](http://www.appveyor.com/)\nand [TravisCI](https://travis-ci.org/) it is possible to build and upload installable\npackages to the [conda-forge](https://anaconda.org/conda-forge)\n[Anaconda-Cloud](http://docs.anaconda.org/) channel for Linux, Windows and OSX respectively.\n\nTo manage the continuous integration and simplify feedstock maintenance\n[conda-smithy](http://github.com/conda-forge/conda-smithy) has been developed.\nUsing the ``conda-forge.yml`` within this repository, it is possible to regenerate all of\nthis feedstock's supporting files (e.g. the CI configuration files) with ``conda smithy regenerate``.\n\n\nTerminology\n===========\n\n**feedstock** - the conda recipe (raw material), supporting scripts and CI configuration.\n\n**conda-smithy** - the tool which helps orchestrate the feedstock.\n                   Its primary use is in the construction of the CI ``.yml`` files\n                   and simplify the management of *many* feedstocks.\n\n**conda-forge** - the place where the feedstock and smithy live and work to\n                  produce the finished article (built conda distributions)\n\nCurrent build status\n====================\n\nLinux: [![Circle CI](https://circleci.com/gh/scikit-learn/scikit-learn-feedstock.svg?style=shield)](https://circleci.com/gh/conda-forge/scikit-learn-feedstock)\nOSX: [![TravisCI](https://travis-ci.org/scikit-learn/scikit-learn-feedstock.svg?branch=master)](https://travis-ci.org/conda-forge/scikit-learn-feedstock)\nWindows: ![](https://cdn.rawgit.com/conda-forge/conda-smithy/90845bba35bec53edac7a16638aa4d77217a3713/conda_smithy/static/disabled.svg)\n\nCurrent release info\n====================\nVersion: [![Anaconda-Server Badge](https://anaconda.org/conda-forge/scikit-learn/badges/version.svg)](https://anaconda.org/conda-forge/scikit-learn)\nDownloads: [![Anaconda-Server Badge](https://anaconda.org/conda-forge/scikit-learn/badges/downloads.svg)](https://anaconda.org/conda-forge/scikit-learn)\n\n\nUpdating scikit-learn-feedstock\n===============================\n\nIf you would like to improve the scikit-learn recipe or build a new\npackage version, please fork this repository and submit a PR. Upon submission,\nyour changes will be run on the appropriate platforms to give the reviewer an\nopportunity to confirm that the changes result in a successful build. Once\nmerged, the recipe will be re-built and uploaded automatically to the\n`conda-forge` channel, whereupon the built conda packages will be available for\neverybody to install and use from the `conda-forge` channel.\nNote that all branches in the conda-forge/scikit-learn-feedstock are\nimmediately built and any created packages are uploaded, so PRs should be based\non branches in forks and branches in the main repository should only be used to\nbuild distinct package versions.\n\nIn order to produce a uniquely identifiable distribution:\n * If the version of a package **is not** being increased, please add or increase\n   the [``build/number``](http://conda.pydata.org/docs/building/meta-yaml.html#build-number-and-string).\n * If the version of a package **is** being increased, please remember to return\n   the [``build/number``](http://conda.pydata.org/docs/building/meta-yaml.html#build-number-and-string)\n   back to 0.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscikit-learn%2Fscikit-learn-feedstock","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fscikit-learn%2Fscikit-learn-feedstock","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscikit-learn%2Fscikit-learn-feedstock/lists"}