Lars Buitinck (ILPS)

1 paper 2.1K citations h-index 1 2013

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

Lars Buitinck (ILPS), Gilles Louppe, Mathieu Blondel, Fabian Pedregosa (INRIA Saclay - Ile de France), Andreas Mueller, Olivier Grisel

+9 more show fewer

Vlad Niculae, Peter Prettenhofer, Alexandre Gramfort (INRIA Saclay - Ile de France, LTCI), Jaques Grobler (INRIA Saclay - Ile de France), Robert Layton, Jake Vanderplas, Arnaud Joly, Brian Holt, Gael Varoquaux (INRIA Saclay - Ile de France)

Scikit-learn is an increasingly popular machine learning li- brary. Written in Python, it is designed to be simple and efficient, accessible to non-experts, and reusable in various contexts. In...

2.1K citations 2013-09 European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases (2013)

Details

HuggingPeers ID: ID hpa-lPBauGsTL4v
Papers: 1
Citations: 2.1K (summed over indexed papers)
h-index: 1
Active: 2013

Aggregated from the papers indexed here — not the author's full publication record. We identify authors by name alone, so two people who share a name appear as one. Some figures — citations in particular — are still being collected, so they may be incomplete or out of date.

Research topics

Frequent co-authors 10

Alexandre Gramfort (INRIA Saclay - Ile de France, LTCI) 1 shared paper
Andreas Mueller 1 shared paper
Arnaud Joly 1 shared paper
Brian Holt 1 shared paper
Fabian Pedregosa (INRIA Saclay - Ile de France) 1 shared paper
Gael Varoquaux (INRIA Saclay - Ile de France) 1 shared paper
Gilles Louppe 1 shared paper
Jake Vanderplas 1 shared paper
Jaques Grobler (INRIA Saclay - Ile de France) 1 shared paper
Mathieu Blondel 1 shared paper

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