Mlr3pipelines: Preprocessing Operators and Pipelines for 'Mlr3'

MCML Authors

Martin Binder

→ Group Bernd Bischl
 Statistical Learning and Data Science

Florian Pfisterer

Dr.

* Former Member

→ Group Bernd Bischl
 Statistical Learning and Data Science

Lennart Schneider

→ Group Bernd Bischl
 Statistical Learning and Data Science

Bernd Bischl

Prof. Dr.

Director

Statistical Learning and Data Science

Michel Lang

Dr.

* Former Member

→ Group Bernd Bischl
 Statistical Learning and Data Science

Susanne Dandl

Dr.

* Former Member

→ Group Bernd Bischl
 Statistical Learning and Data Science

Abstract

mlr3pipelines is a dataflow programming toolkit for machine learning in R utilising the mlr3 package. Machine learning workflows can be written as directed “Graphs” that represent data flows between preprocessing, model fitting, and ensemble learning units in an expressive and intuitive language. Using methods from the mlr3tuning package, it is even possible to simultaneously optimize parameters of multiple processing units.

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Research Area

 A1 | Statistical Foundations & Explainability