Define and Work with Parameter Spaces for Complex Algorithms

Define parameter spaces, constraints and dependencies for arbitrary algorithms, to program on such spaces. Also includes statistical designs and random samplers. Objects are implemented as 'R6' classes.


Reference manual

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0.7.1 by Michel Lang, 9 months ago,

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Browse source code at

Authors: Michel Lang [cre, aut] , Bernd Bischl [aut] , Jakob Richter [aut] , Xudong Sun [aut] , Martin Binder [aut] , Marc Becker [ctb]

Documentation:   PDF Manual  

LGPL-3 license

Imports backports, checkmate, data.table, methods, mlr3misc, R6

Suggests knitr, lhs, testthat

Imported by mlr3, mlr3cluster, mlr3filters, mlr3fselect, mlr3hyperband, mlr3learners, mlr3pipelines, mlr3proba, mlr3spatiotempcv, mlr3tuningspaces, mlr3verse, mlrintermbo, sense.

Depended on by NADIA, bbotk, mlr3tuning.

Suggested by DoubleML, mcboost, mlr3misc, mlr3spatial, mlr3viz.

See at CRAN