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.

Package details

AuthorMartin Binder [aut, cre], Bernd Bischl [ctb], Michel Lang [ctb], Lars Kotthoff [ctb]
MaintainerMartin Binder <[email protected]>
LicenseBSD_2_clause + file LICENSE
Package repositoryView on CRAN
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mlrCPO documentation built on Jan. 11, 2019, 1:05 a.m.