mlr3pipelines-package: mlr3pipelines: Preprocessing Operators and Pipelines for...

In mlr-org/mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3'

mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3'

Description

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.

Author(s)

Maintainer: Martin Binder [e-mail]

Authors:

• Florian Pfisterer [e-mail] (ORCID)

• Lennart Schneider [e-mail] (ORCID)

• Bernd Bischl [e-mail] (ORCID)

• Michel Lang [e-mail] (ORCID)

• Susanne Dandl [e-mail]

Other contributors:

• Sebastian Fischer [e-mail] (ORCID) [contributor]

See Also

Useful links:

• https://mlr3pipelines.mlr-org.com

• https://github.com/mlr-org/mlr3pipelines

• Report bugs at https://github.com/mlr-org/mlr3pipelines/issues

mlr-org/mlr3pipelines documentation built on April 30, 2024, 6:21 p.m.