MultiDimensional Feature Selection (MDFS)
Description
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.