CuCubes: MultiDimensional Feature Selection (MDFS)

Functions for MultiDimensional Feature Selection (MDFS): * calculating multidimensional information gains, * finding interesting tuples for chosen variables, * scoring variables, * finding important variables, * plotting selection results. CuCubes is also known as CUDA Cubes and it is a library that allows fast CUDA-accelerated computation of information gains in binary classification problems. This package wraps CuCubes and provides an alternative CPU version as well as helper functions for building MultiDimensional Feature Selectors.

Getting started

Package details

AuthorRadosław Piliszek [aut, cre], Andrzej Sułecki [aut], Paweł Tabaszewski [aut], Krzysztof Mnich [aut], Witold Rudnicki [cph]
MaintainerRadosław Piliszek <>
Package repositoryView on CRAN
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CuCubes documentation built on May 30, 2017, 1:36 a.m.