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'.


Reference manual

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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