mlrCPO (0.3.4-4)

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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.

Maintainer: Martin Binder
Author(s): Martin Binder [aut, cre], Bernd Bischl [ctb], Michel Lang [ctb], Lars Kotthoff [ctb]

License: BSD_2_clause + file LICENSE

Uses: backports, BBmisc, checkmate, mlr, ParamHelpers, stringi, Hmisc, digest, e1071, fastICA, mlbench, party, randomForest, rpart, FSelector, testthat, care, knitr, mRMRe, DiscriMiner, randomForestSRC, rmarkdown, rex, lintr, ranger, Rfast, FSelectorRcpp, praznik

Released 7 months ago.

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