Other packages > Find by keyword >

ForestDisc  

Forest Discretization
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]
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 27 Feb. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited ForestDisc R package
View ForestDisc citation profile
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
Downloads during the last 30 days
01/2801/2901/3001/3102/0102/0202/0302/0402/0502/0602/0702/0802/0902/1002/1102/1202/1302/1402/1502/1602/1702/1802/1902/2002/2102/2202/2302/2402/2502/26Downloads for ForestDisc0123456789101112TrendBars

Today's Hot Picks in Authors and Packages

lctools  
Local Correlation, Spatial Inequalities, Geographically Weighted Regression and Other Tools
Provides researchers and educators with easy-to-learn user friendly tools for calculating key spati ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
PerFit  
Person Fit
Several person-fit statistics (PFSs; Meijer and Sijtsma, 2001, ) ar ...
Download / Learn more Package Citations See dependency  
eatGADS  
Data Management of Large Hierarchical Data
Import 'SPSS' data, handle and change 'SPSS' meta data, store and access large hierarchical data in ...
Download / Learn more Package Citations See dependency  
zendeskR  
Zendesk API Wrapper
This package provides an R wrapper for the Zendesk API ...
Download / Learn more Package Citations See dependency  
ipumsr  
An R Interface for Downloading, Reading, and Handling IPUMS Data
An easy way to work with census, survey, and geographic data provided by IPUMS in R. Generate and d ...
Download / Learn more Package Citations See dependency  

23,762

R Packages

206,309

Dependencies

64,478

Author Associations

23,763

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA