Package: varrank 0.5

Annina Cincera

varrank: Heuristics Tools Based on Mutual Information for Variable Ranking

A computational toolbox of heuristics approaches for performing variable ranking and feature selection based on mutual information well adapted for multivariate system epidemiology datasets. The core function is a general implementation of the minimum redundancy maximum relevance model. R. Battiti (1994) <doi:10.1109/72.298224>. Continuous variables are discretized using a large choice of rule. Variables ranking can be learned with a sequential forward/backward search algorithm. The two main problems that can be addressed by this package is the selection of the most representative variable within a group of variables of interest (i.e. dimension reduction) and variable ranking with respect to a set of features of interest.

Authors:Gilles Kratzer [aut], Reinhard Furrer [ctb], Annina Cincera [cre]

varrank_0.5.tar.gz
varrank_0.5.tar.gz(r-4.5-noble)varrank_0.5.tar.gz(r-4.4-noble)
varrank_0.5.tgz(r-4.4-emscripten)varrank_0.5.tgz(r-4.3-emscripten)
varrank.pdf |varrank.html✨
varrank/json (API)
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5 exports 0.61 score 1 dependencies 2 mentions 18 scripts 203 downloads

Last updated 2 years agofrom:d55ca4bd9b. Checks:OK: 2. Indexed: yes.

Exports:discretizationentropy.datami.dataplot.varrankvarrank

Dependencies:FNN