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Fabian
Pedregosa; Gaël Varoquaux; Alexandre Gramfort; Vincent Michel; Bertrand Thirion; Olivier Grisel; Mathieu Blondel; Peter Prettenhofer; Ron Weiss; Vincent Dubourg; Jake Vanderplas; Alexandre Passos; David Cournapeau; Matthieu Perrot; Édouard Duchesnay (2011).
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scikit-learn was initially developed by David
Cournapeau as a Google Summer of Code project in 2007. Later that year, Matthieu Brucher joined the project and started to use it as a part of his thesis work. In 2010,
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were described as two of the "well-maintained and popular" scikits libraries. In 2019, it was noted that scikit-learn is one of the most popular machine learning libraries on
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308:. The name of the project stems from the notion that it is a "SciKit" (SciPy Toolkit), a separately developed and distributed third-party extension to
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extensively for high-performance linear algebra and array operations. Furthermore, some core algorithms are written in
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to improve performance. Support vector machines are implemented by a Cython wrapper around
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scikit-learn integrates well with many other Python libraries, such as
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French
Institute for Research in Computer Science and Automation
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Institute for Research in Computer Science and Automation
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711:"Release history — scikit-learn 0.19.dev0 documentation"
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The scikit-learn project started as scikits.learn, a
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scikit-learn is largely written in Python, and uses
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660:SciPy and NumPy: an overview for developers
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1002:"Release History - 1.2.1 documentation"
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966:"Release History - 1.1.3 documentation"
948:"Release History - 1.1.2 documentation"
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912:"Release History - 1.1.0 documentation"
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785:"Release History - 0.22 documentation"
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514:List of numerical analysis software
426:September 2018. scikit-learn 0.20.0
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16:Python library for machine learning
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417:November 2015. scikit-learn 0.17.0
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462:December 2022. scikit-learn 1.2.0
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465:January 2023. scikit-learn 1.2.1
459:October 2022. scikit-learn 1.1.3
444:October 2021. scikit-learn 1.0.1
432:December 2019. scikit-learn 0.22
456:August 2022. scikit-learn 1.1.2
414:March 2015. scikit-learn 0.16.0
1174:Software using the BSD license
468:March 2023. scikit-learn 1.2.2
423:July 2017. scikit-learn 0.19.0
411:July 2014. scikit-learn 0.15.0
408:August 2013. scikit-learn 0.14
1:
604:"NumFOCUS Sponsored Projects"
435:May 2020. scikit-learn 0.23.0
429:May 2019. scikit-learn 0.21.0
316:was later rewritten by other
453:May 2022. scikit-learn 1.1.1
450:May 2022. scikit-learn 1.1.0
289:fiscally sponsored project.
438:Jan 2021. scikit-learn 0.24
51:; 17 years ago
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379:for array vectorization,
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252:support-vector machines
235:. It features various
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657:Eli Bressert (2012).
299:Google Summer of Code
285:. Scikit-learn is a
233:programming language
220:free and open-source
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214:and also known as
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685:. 2019-01-24
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172:Library for
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81:3 July 2024
1153:Categories
1111:matplotlib
844:2021-02-08
744:6 November
720:2017-02-27
689:2019-10-17
610:2021-10-25
606:. NumFOCUS
520:References
504:TensorFlow
369:Matplotlib
318:developers
250:including
248:algorithms
245:clustering
241:regression
210:(formerly
125:Written in
95:Repository
509:Infer.NET
362:LIBLINEAR
559:Open Hub
314:codebase
293:Overview
287:NumFOCUS
228:for the
564:14 July
539:27 July
499:PyTorch
226:library
218:) is a
216:sklearn
192:Website
181:License
161:Windows
79: (
56:2007-06
54: (
1131:MayaVi
1116:pandas
1090:Python
1053:GitHub
819:7 June
794:7 June
683:GitHub
494:Orange
400:, the
381:Pandas
373:plotly
358:LIBSVM
354:Cython
338:GitHub
330:France
326:Saclay
275:Python
271:DBSCAN
267:-means
230:Python
133:Cython
129:Python
104:github
1106:SciPy
1101:NumPy
769:5 May
484:SpaCy
398:INRIA
385:SciPy
377:NumPy
350:NumPy
310:SciPy
283:SciPy
279:NumPy
157:macOS
153:Linux
1137:more
821:2020
796:2020
771:2019
746:2018
566:2018
541:2024
489:NLTK
479:mlpy
371:and
281:and
269:and
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199:.org
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106:.com
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