Classification and regression based on an ensemble of decision trees. The package also provides extensions of ExtraTrees to multi-task learning and quantile regression. Uses Java implementation of the method.
| Version: | 1.0.5 |
| Depends: | R (≥ 2.7.0), rJava (≥ 0.5-0) |
| Suggests: | testthat, Matrix |
| Published: | 2014-12-27 |
| Author: | Jaak Simm, Ildefons Magrans de Abril |
| Maintainer: | Jaak Simm <jaak.simm at gmail.com> |
| License: | Apache License 2.0 |
| URL: | http://github.com/jaak-s/extraTrees |
| NeedsCompilation: | no |
| SystemRequirements: | Java (>= 1.6) |
| Citation: | extraTrees citation info |
| Materials: | ChangeLog |
| CRAN checks: | extraTrees results |
| Reference manual: | extraTrees.pdf |
| Vignettes: |
extraTrees |
| Package source: | extraTrees_1.0.5.tar.gz |
| Windows binaries: | r-devel: extraTrees_1.0.5.zip, r-release: extraTrees_1.0.5.zip, r-oldrel: extraTrees_1.0.5.zip |
| macOS binaries: | r-release (arm64): extraTrees_1.0.5.tgz, r-oldrel (arm64): extraTrees_1.0.5.tgz, r-release (x86_64): extraTrees_1.0.5.tgz, r-oldrel (x86_64): extraTrees_1.0.5.tgz |
| Old sources: | extraTrees archive |
| Reverse suggests: | fscaret, mlr, SuperLearner, superMICE |
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