Bbotk: Black-Box Optimization Toolkit

MCML Authors

Marc Becker

→ 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

bbotk is a black-box optimization framework for R. It features highly configurable search spaces via the paradox package and optimizes every user-defined objective function. The package includes several optimization algorithms e.g. Random Search, Grid Search, Iterated Racing, Bayesian Optimization (in mlr3mbo) and Hyperband (in mlr3hyperband). bbotk is the base package of mlr3tuning, mlr3fselect and miesmuschel.

manual BRL+21

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SW Package

Jan. 2021

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Authors

M. Becker • J. Richter • M. Lang • B. Bischl • M. Binder

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Links

URL GitHub

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Research Area

 A1 | Statistical Foundations & Explainability