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.
|Author||Radosław Piliszek [aut, cre], Andrzej Sułecki [aut], Paweł Tabaszewski [aut], Krzysztof Mnich [aut], Witold Rudnicki [cph]|
|Date of publication||2016-12-09 13:13:25|
|Maintainer||Radosław Piliszek <[email protected]>|
|Package repository||View on CRAN|
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