Package: CuCubes
Title: MultiDimensional Feature Selection (MDFS)
Version: 0.1.0
Authors@R: c(
    person("Radosław", "Piliszek", email = "r.piliszek@uwb.edu.pl", role = c("aut", "cre")),
    person("Andrzej", "Sułecki", email = "asulecki@gmail.com", role = "aut"),
    person("Paweł", "Tabaszewski", email = "tabaszewski.pawel@gmail.com", role = "aut"),
    person("Krzysztof", "Mnich", email = "k.mnich@uwb.edu.pl", role = "aut"),
    person("Witold", "Rudnicki", email = "w.rudnicki@icm.edu.pl", role = "cph"))
URL: https://featureselector.uco.uwb.edu.pl/pub/cucubes/
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.
Depends: R (>= 3.2.1)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-12-09 11:19:41 UTC; feature_selector
Author: Radosław Piliszek [aut, cre],
  Andrzej Sułecki [aut],
  Paweł Tabaszewski [aut],
  Krzysztof Mnich [aut],
  Witold Rudnicki [cph]
Maintainer: Radosław Piliszek <r.piliszek@uwb.edu.pl>
Repository: CRAN
Date/Publication: 2016-12-09 13:13:25
