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 SLB+20

---

SW Package

Jan. 2020

---

Authors

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

---

Links

URL GitHub

---

Research Area

 A1 | Statistical Foundations & Explainability