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CRAN: Package mlrCPO

mlrCPO: Composable Preprocessing Operators and Pipelines for Machine Learning

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: 0.3.8 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, digest, praznik, randomForestSRC, randomForest, ranger (≥ 0.8.0), Rfast, FSelector, FSelectorRcpp, e1071, FNN, lintr, Hmisc, fastICA, rex Published: 2025-06-16 DOI: 10.32614/CRAN.package.mlrCPO 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 Documentation: Downloads: Linking:

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