FSelectorRcpp: 'Rcpp' Implementation of 'FSelector' Entropy-Based Feature Selection Algorithms with a Sparse Matrix Support

'Rcpp' (free of 'Java'/'Weka') implementation of 'FSelector' entropy-based feature selection algorithms based on an MDL discretization (Fayyad U. M., Irani K. B.: Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning. In 13'th International Joint Conference on Uncertainly in Artificial Intelligence (IJCAI93), pages 1022-1029, Chambery, France, 1993.) <https://www.ijcai.org/Proceedings/93-2/Papers/022.pdf> with a sparse matrix support. It is also equipped with a parallel backend.

Package details

AuthorZygmunt Zawadzki [aut, cre], Marcin Kosinski [aut], Krzysztof Slomczynski [ctb], Damian Skrzypiec [ctb]
MaintainerZygmunt Zawadzki <[email protected]>
LicenseGPL-2
Version0.3.1
URL http://mi2-warsaw.github.io/FSelectorRcpp/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("FSelectorRcpp")

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FSelectorRcpp documentation built on May 2, 2019, 9:58 a.m.