Toolset that enriches 'mlr' with a diverse set of preprocessing operators. Composable Preprocessing Operators ("CPO"s) are first-class R objects that can be applied to data.frames and 'mlr' "Task"s to modify data, can be attached to 'mlr' "Learner"s to add preprocessing to machine learning algorithms, and can be composed to form preprocessing pipelines.
Version: | 0.3.6 |
Depends: | R (≥ 3.0.2), ParamHelpers (≥ 1.10), mlr (≥ 2.12) |
Imports: | BBmisc (≥ 1.11), stringi, checkmate (≥ 1.8.3), methods, stats, utils, backports (≥ 1.1.0) |
Suggests: | care, party, rpart, mlbench, knitr, rmarkdown, testthat, mRMRe, praznik, randomForestSRC, randomForest, ranger (≥ 0.8.0), Rfast, FSelector, FSelectorRcpp, e1071, DiscriMiner, digest, lintr, Hmisc, fastICA, rex |
Published: | 2020-04-06 |
Author: | Martin Binder [aut, cre], Bernd Bischl [ctb], Michel Lang [ctb], Lars Kotthoff [ctb] |
Maintainer: | Martin Binder <developer.mb706 at doublecaret.com> |
BugReports: | https://github.com/mlr-org/mlrCPO/issues |
License: | BSD_2_clause + file LICENSE |
URL: | https://github.com/mlr-org/mlrCPO |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | mlrCPO results |
Reference manual: | mlrCPO.pdf |
Vignettes: |
1. First Steps 2. mlrCPO Core 3. Builtin CPOs 4. Custom CPOs z 1. First Steps (No Output) z 2. mlrCPO Core (No Output) z 3. Builtin CPOs (No Output) z 4. Custom CPOs (No Output) |
Package source: | mlrCPO_0.3.6.tar.gz |
Windows binaries: | r-devel: mlrCPO_0.3.6.zip, r-release: mlrCPO_0.3.6.zip, r-oldrel: mlrCPO_0.3.6.zip |
macOS binaries: | r-release: mlrCPO_0.3.6.tgz, r-oldrel: mlrCPO_0.3.6.tgz |
Old sources: | mlrCPO archive |
Reverse imports: | mosmafs |
Reverse suggests: | nntrf |
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