API design for machine learning software: experiences from the scikit-learn project

scientific article (publication date: September 2013)

API design for machine learning software: experiences from the scikit-learn project is …
instance of (P31):
scholarly articleQ13442814

External links are
P818arXiv ID1309.0238
P953full work available at URLhttps://arxiv.org/pdf/1309.0238.pdf

P50authorGaël VaroquauxQ28269682
Alexandre GramfortQ28366261
Olivier GriselQ108118090
Fabian PedregosaQ114449016
Peter PrettenhoferQ114449017
P2093author name stringAndreas Mueller
Brian Holt
Gilles Louppe
Robert Layton
Mathieu Blondel
Arnaud Joly
Jake Vanderplas
Vlad Niculae
Jaques Grobler
Lars Buitinck
P2860cites workScikit-learn: Machine Learning in PythonQ28365500
P4510describes a project that usesscikit-learnQ1026367
P407language of work or nameEnglishQ1860
P921main subjectmachine learningQ2539
application programming interfaceQ165194
scikit-learnQ1026367
P6104maintained by WikiProjectWikiProject SoftwareQ15659621
P1104number of pages15
P304page(s)108-122
P577publication date2013-09-01
P1433published inProceedings: Workshop on Languages for Data Mining and Machine LearningQ28530562
P1476titleAPI design for machine learning software: experiences from the scikit-learn project

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Q107060052DaNLP: An open-source toolkit for Danish Natural Language Processingcites workP2860

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