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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.

Versions across snapshots

VersionRepositoryFileSize
0.3.8 rolling linux/jammy R-4.5 mlrCPO_0.3.8.tar.gz 2.3 MiB
0.3.8 rolling linux/noble R-4.5 mlrCPO_0.3.8.tar.gz 2.3 MiB
0.3.8 rolling source/ R- mlrCPO_0.3.8.tar.gz 537.9 KiB
0.3.8 latest linux/jammy R-4.5 mlrCPO_0.3.8.tar.gz 2.3 MiB
0.3.8 latest linux/noble R-4.5 mlrCPO_0.3.8.tar.gz 2.3 MiB
0.3.8 latest source/ R- mlrCPO_0.3.8.tar.gz 537.9 KiB
0.3.8 2026-04-26 source/ R- mlrCPO_0.3.8.tar.gz 537.9 KiB
0.3.8 2026-04-23 source/ R- mlrCPO_0.3.8.tar.gz 537.9 KiB
0.3.8 2026-04-09 windows/windows R-4.5 mlrCPO_0.3.8.zip 2.3 MiB
0.3.7-7 2025-04-20 source/ R- mlrCPO_0.3.7-7.tar.gz 535.3 KiB

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