Mlr3filters: Filter Based Feature Selection for 'Mlr3'

MCML Authors

Patrick Schratz

* Former Member

→ Group Bernd Bischl
 Statistical Learning and Data Science

Michel Lang

Dr.

* Former Member

→ Group Bernd Bischl
 Statistical Learning and Data Science

Bernd Bischl

Prof. Dr.

Director

Statistical Learning and Data Science

Martin Binder

→ Group Bernd Bischl
 Statistical Learning and Data Science

Abstract

mlr3filters adds feature selection filters to mlr3. The implemented filters can be used stand-alone, or as part of a machine learning pipeline in combination with mlr3pipelines and the filter operator.

manual

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SW Package

Jan. 2020

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Authors

P. Schratz • M. Lang • B. Bischl • M. Binder

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Links

URL GitHub

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Research Area

 A1 | Statistical Foundations & Explainability