mlr3pipelines

mlr3pipelines-package

<img src="figures/logo.png?package=mlr3pipelines&version=0.3.0" align="right" alt="logo" width="120">
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.

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.

Martin Binder

Preprocessing Operators and Pipelines for 'mlr3'

Florian Pfisterer

Lennart Schneider

Bernd Bischl

Michel Lang

Susanne Dandl

mlr3pipelines-package function

<img src='figures/logo.png' align='right' alt='logo' width='120' />
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.

mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3' — mlr3pipelines-package

mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3'

mlr3pipelines-package: mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3'

Description

Arguments

See Also