Tuning for 'mlr3'

Implements methods for hyperparameter tuning with 'mlr3', e.g. grid search, random search, generalized simulated annealing and iterated racing. Various termination criteria can be set and combined. The class 'AutoTuner' provides a convenient way to perform nested resampling in combination with 'mlr3'.


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Reference manual

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install.packages("mlr3tuning")

0.9.0 by Marc Becker, 2 months ago


https://mlr3tuning.mlr-org.com, https://github.com/mlr-org/mlr3tuning


Report a bug at https://github.com/mlr-org/mlr3tuning/issues


Browse source code at https://github.com/cran/mlr3tuning


Authors: Marc Becker [cre, aut] , Michel Lang [aut] , Jakob Richter [aut] , Bernd Bischl [aut] , Daniel Schalk [aut]


Documentation:   PDF Manual  


LGPL-3 license


Imports bbotk, checkmate, data.table, digest, lgr, mlr3misc, R6

Depends on mlr3, paradox

Suggests adagio, GenSA, irace, mlr3pipelines, nloptr, rpart, testthat


Imported by DoubleML, mlr3verse, mlrintermbo, sense.

Depended on by mlr3hyperband, mlr3tuningspaces.

Suggested by mlr3spatial, mlr3spatiotempcv, mlr3viz.


See at CRAN