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ForestDisc
View on CRAN: Click
here
Download and install ForestDisc package within the R console
Install from CRAN:
install.packages("ForestDisc")
Install from Github:
library("remotes")
install_github("cran/ForestDisc") Install by package version:
library("remotes")
install_version("ForestDisc", "0.1.0") Attach the package and use:
library("ForestDisc")
Maintained by
Haddouchi Maïssae
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-19
Latest Update: 2020-03-19
Description:
Supervised, multivariate, and non-parametric discretization algorithm based on tree ensembles learning and moment matching optimization. This version of the algorithm relies on random forest algorithm to learn a large set of split points that conserves the relationship between attributes and the target class, and on moment matching optimization to transform this set into a reduced number of cut points matching as well as possible statistical properties of the initial set of split points. For each attribute to be discretized, the set S of its related split points extracted through random forest is mapped to a reduced set C of cut points of size k. This mapping relies on minimizing, for each continuous attribute to be discretized, the distance between the four first moments of S and the four first moments of C subject to some constraints. This non-linear optimization problem is performed using k values ranging from 2 to 'max_splits', and the best solution returned correspond to the value k which optimum solution is the lowest one over the different realizations. ForestDisc is a generalization of RFDisc discretization method initially proposed by Berrado and Runger (2009) , and improved by Berrado et al. in 2012 by adopting the idea of moment matching optimization related by Hoyland and Wallace (2001) .
How to cite:
Haddouchi Maïssae (2020). ForestDisc: Forest Discretization. R package version 0.1.0, https://cran.r-project.org/web/packages/ForestDisc. Accessed 10 Mar. 2026.
Previous versions and publish date:
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Other R packages that ForestDisc depends,
imports, suggests or enhances
Complete documentation for ForestDisc
Functions, R codes and Examples using
the ForestDisc R package
Some associated functions: Extract_cont_splits . ForestDisc . RF2Selectedtrees . Select_cont_splits .
Some associated R codes: ForestDisc_functions.R . Full ForestDisc package functions and examples
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