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FSelectorRcpp (version 0.3.13)

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

Description

'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.) with a sparse matrix support.

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Install

install.packages('FSelectorRcpp')

Monthly Downloads

1,747

Version

0.3.13

License

GPL-2

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Maintainer

Zygmunt Zawadzki

Last Published

October 2nd, 2024

Functions in FSelectorRcpp (0.3.13)

.information_gain

Direct Interface to Information Gain.
to_formula

Create a formula Object
cut_attrs

Select Attributes by Score Depending on the Cutoff
relief

RReliefF filter
discretize

Discretization
information_gain

Entropy-based Filters
discretize_transform

Transform a data.frame using split points returned by discretize function.
feature_search

General Feature Searching Engine