Hyperband for 'mlr3'

Implements hyperband method for hyperparameter tuning. Various termination criteria can be set and combined. The class 'AutoTuner' provides a convenient way to perform nested resampling in combination with 'mlr3'. The hyperband algorithm was proposed by Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh and Ameet Talwalkar (2018) .


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Reference manual

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install.packages("mlr3hyperband")

0.1.2 by Marc Becker, 2 months ago


https://mlr3hyperband.mlr-org.com, https://github.com/mlr-org/mlr3hyperband


Report a bug at https://github.com/mlr-org/mlr3hyperband/issues


Browse source code at https://github.com/cran/mlr3hyperband


Authors: Marc Becker [aut, cre] , Sebastian Gruber [aut] , Jakob Richter [aut] , Julia Moosbauer [aut] , Bernd Bischl [aut]


Documentation:   PDF Manual  


LGPL-3 license


Imports bbotk, checkmate, data.table, lgr, mlr3, mlr3misc, paradox, R6

Depends on mlr3tuning

Suggests emoa, mlr3learners, mlr3pipelines, rpart, testthat, xgboost


See at CRAN