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mlr3hyperband  

Hyperband for 'mlr3'
View on CRAN: Click here


Download and install mlr3hyperband package within the R console
Install from CRAN:
install.packages("mlr3hyperband")

Install from Github:
library("remotes")
install_github("cran/mlr3hyperband")

Install by package version:
library("remotes")
install_version("mlr3hyperband", "0.6.0")



Attach the package and use:
library("mlr3hyperband")
Maintained by
Marc Becker
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-26
Latest Update: 2023-03-02
Description:
Successive Halving (Jamieson and Talwalkar (2016) ) and Hyperband (Li et al. 2018 ) optimization algorithm for the mlr3 ecosystem. The implementation in mlr3hyperband features improved scheduling and parallelizes the evaluation of configurations. The package includes tuners for hyperparameter optimization in mlr3tuning and optimizers for black-box optimization in bbotk.
How to cite:
Marc Becker (2020). mlr3hyperband: Hyperband for 'mlr3'. R package version 0.6.0, https://cran.r-project.org/web/packages/mlr3hyperband. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2020-10-26 11:40), 0.1.1 (2020-12-07 13:50), 0.1.2 (2021-01-29 10:20), 0.2.0 (2021-09-13 15:30), 0.3.0 (2022-01-23 16:42), 0.4.0 (2022-02-10 19:40), 0.4.1 (2022-05-04 18:50), 0.4.2 (2022-08-25 13:20), 0.4.3 (2022-11-07 11:00), 0.4.4 (2022-11-27 13:00), 0.4.5 (2023-03-02 14:00), 0.5.0 (2024-03-05 06:30)
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