{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/scikit-learn-machine-learning-in-python","title":"Scikit-learn: Machine Learning in Python","arxiv_id":"1201.0490","date":"2012-01-02","proceeding":null,"authors":["Fabian Pedregosa","Gaël Varoquaux","Alexandre Gramfort","Vincent Michel","Bertrand Thirion","Olivier Grisel","Mathieu Blondel","Andreas Müller","Joel Nothman","Gilles Louppe","Peter Prettenhofer","Ron Weiss","Vincent Dubourg","Jake Vanderplas","Alexandre Passos","David Cournapeau","Matthieu Brucher","Matthieu Perrot","Édouard Duchesnay"],"abstract":"Scikit-learn is a Python module integrating a wide range of state-of-the-art\nmachine learning algorithms for medium-scale supervised and unsupervised\nproblems. This package focuses on bringing machine learning to non-specialists\nusing a general-purpose high-level language. Emphasis is put on ease of use,\nperformance, documentation, and API consistency. It has minimal dependencies\nand is distributed under the simplified BSD license, encouraging its use in\nboth academic and commercial settings. Source code, binaries, and documentation\ncan be downloaded from http://scikit-learn.org.","url_abs":"http://arxiv.org/abs/1201.0490v4","url_pdf":"http://arxiv.org/pdf/1201.0490v4.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"scikit-learn-machine-learning-in-python","repo_url":"https://github.com/DominikaDu/QSmooth","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"scikit-learn-machine-learning-in-python","repo_url":"https://github.com/Neuraxio/Neuraxle","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"scikit-learn-machine-learning-in-python","repo_url":"https://github.com/scikit-learn/scikit-learn","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"clustering","task_name":"Clustering"},{"task_slug":"dimensionality-reduction","task_name":"Dimensionality Reduction"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"model-selection","task_name":"Model Selection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1201.0490","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1201.0490"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/Neuraxio/Neuraxle","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/DominikaDu/QSmooth","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/scikit-learn/scikit-learn","reach":null}],"summary":{"ran_violates":1},"by_repo_kind":{"listed":{"samples":1,"ran":1,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"810beb340ed510c4","entry":"skip_properties","repo":"scikit-learn/scikit-learn","repo_kind":"listed","path":"doc/conf.py","file_url":"https://github.com/scikit-learn/scikit-learn/blob/HEAD/doc/conf.py","link_basis":"first_harvest_node","language":"python","status":"ran_violates","verification_level":1,"contract_check":"VIOLATES","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"810beb340ed510c4"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}