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, full flexi…
python c-plus-plus machine-learning r apache-spark matlab svm ml regression octave classification rstats r-package quantile-regression expectile-regression
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Updated
Feb 20, 2020 - C++