The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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) <doi:10.1109/AICCSA.2009.5069327>, and improved by Berrado et al. in 2012 by adopting the idea of moment matching optimization related by Hoyland and Wallace (2001) <doi:10.1287/mnsc.47.2.295.9834>.
| Version: | 0.1.0 |
| Imports: | randomForest, nloptr, moments, stats |
| Published: | 2020-03-19 |
| DOI: | 10.32614/CRAN.package.ForestDisc |
| Author: | Haddouchi Maïssae |
| Maintainer: | Haddouchi Maïssae <maissaem7 at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | ForestDisc results |
| Reference manual: | ForestDisc.pdf |
| Package source: | ForestDisc_0.1.0.tar.gz |
| Windows binaries: | r-devel: ForestDisc_0.1.0.zip, r-release: ForestDisc_0.1.0.zip, r-oldrel: ForestDisc_0.1.0.zip |
| macOS binaries: | r-release (arm64): ForestDisc_0.1.0.tgz, r-oldrel (arm64): ForestDisc_0.1.0.tgz, r-release (x86_64): ForestDisc_0.1.0.tgz, r-oldrel (x86_64): ForestDisc_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=ForestDisc to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.