scholarly article | Q13442814 |
P818 | arXiv ID | 1309.0238 |
P953 | full work available at URL | https://arxiv.org/pdf/1309.0238.pdf |
P50 | author | Gaël Varoquaux | Q28269682 |
Alexandre Gramfort | Q28366261 | ||
Olivier Grisel | Q108118090 | ||
Fabian Pedregosa | Q114449016 | ||
Peter Prettenhofer | Q114449017 | ||
P2093 | author name string | Andreas Mueller | |
Brian Holt | |||
Gilles Louppe | |||
Robert Layton | |||
Mathieu Blondel | |||
Arnaud Joly | |||
Jake Vanderplas | |||
Vlad Niculae | |||
Jaques Grobler | |||
Lars Buitinck | |||
P2860 | cites work | Scikit-learn: Machine Learning in Python | Q28365500 |
P4510 | describes a project that uses | scikit-learn | Q1026367 |
P407 | language of work or name | English | Q1860 |
P921 | main subject | machine learning | Q2539 |
application programming interface | Q165194 | ||
scikit-learn | Q1026367 | ||
P6104 | maintained by WikiProject | WikiProject Software | Q15659621 |
P1104 | number of pages | 15 | |
P304 | page(s) | 108-122 | |
P577 | publication date | 2013-09-01 | |
P1433 | published in | Proceedings: Workshop on Languages for Data Mining and Machine Learning | Q28530562 |
P1476 | title | API design for machine learning software: experiences from the scikit-learn project |
Q107060052 | DaNLP: An open-source toolkit for Danish Natural Language Processing | cites work | P2860 |
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