Paradox: Define and Work With Parameter Spaces for Complex Algorithms

MCML Authors

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

The paradox package offers a language for the description of parameter spaces, as well as tools for useful operations on these parameter spaces.

manual LBR+21

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SW Package

Jan. 2021

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Authors

M. Lang • B. Bischl • J. Richter • X. Sun • M. Binder

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Links

URL GitHub

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Research Area

 A1 | Statistical Foundations & Explainability