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mlr3hyperband (version 0.2.0)

Hyperband for 'mlr3'

Description

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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Install

install.packages('mlr3hyperband')

Monthly Downloads

2,492

Version

0.2.0

License

LGPL-3

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Repository

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

Homepage

https://mlr3hyperband.mlr-org.com

Maintainer

Marc Becker

Last Published

September 13th, 2021

Functions in mlr3hyperband (0.2.0)

mlr_tuners_successive_halving

Hyperparameter Tuning with Successive Halving

mlr_optimizers_successive_halving

Hyperparameter Optimization with Successive Halving

mlr_optimizers_hyperband

Optimizer using the Hyperband algorithm

mlr_tuners_hyperband

Tuner using the Hyperband algorithm

mlr3hyperband-package

mlr3hyperband: Hyperband for 'mlr3'

Best points w.r.t. non dominated sorting with hypervolume contrib.