liquidSVM

Release 1.0.1

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non- parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, inclusion of a variety of different classification and regression scenarios, and full flexibility for experts.

Homepage PyPI

License
AGPL-3.0
Install
pip install liquidSVM==1.0.1

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0
Dependent repositories
1
Total releases
2
Latest release
First release
SourceRank
5

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Releases

1.0.1
1.0

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