liquidSVM: A Fast and Versatile SVM package

Abstract

liquidSVM is a package written in C++ that provides SVM-type solvers for various classification and regression tasks. Because of a fully integrated hyper-parameter selection, very carefully implemented solvers, multi-threading and GPU support, and several built-in data decomposition strategies it provides unprecedented speed for small training sizes as well as for data sets of tens of millions of samples. Besides the C++ API and a command line interface, bindings to R, MATLAB, Java, Python, and Spark are available. We present a brief description of the package and report experimental comparisons to other SVM packages.

References in corpus (3)

• EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines
• GURLS: a Least Squares Library for Supervised Learning
• Spatial Decompositions for Large Scale SVMs

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