mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3'

Dataflow programming toolkit that enriches 'mlr3' with a diverse set of pipelining operators ('PipeOps') that can be composed into graphs. Operations exist for data preprocessing, model fitting, and ensemble learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can therefore be resampled, benchmarked, and tuned.

Package details

AuthorMartin Binder [aut, cre], Florian Pfisterer [aut] (<https://orcid.org/0000-0001-8867-762X>), Lennart Schneider [aut] (<https://orcid.org/0000-0003-4152-5308>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Susanne Dandl [aut]
MaintainerMartin Binder <mlr.developer@mb706.com>
LicenseLGPL-3
Version0.3.3
URL https://mlr3pipelines.mlr-org.com https://github.com/mlr-org/mlr3pipelines
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mlr3pipelines")

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mlr3pipelines documentation built on Feb. 9, 2021, 9:06 a.m.