Implements methods for hyperparameter tuning with 'mlr3', e.g. Grid Search, Random Search, or Simulated Annealing. Various termination criteria can be set and combined. The class 'AutoTuner' provides a convenient way to perform nested resampling in combination with 'mlr3'.
Version: | 0.1.0 |
Depends: | R (≥ 3.1.0) |
Imports: | checkmate (≥ 1.9.4), data.table, lgr, mlr3, mlr3misc, paradox, R6 |
Suggests: | GenSA, rpart, testthat |
Published: | 2019-09-30 |
Author: | Michel Lang |
Maintainer: | Michel Lang <michellang at gmail.com> |
BugReports: | https://github.com/mlr-org/mlr3tuning/issues |
License: | LGPL-3 |
URL: | https://mlr3tuning.mlr-org.com, https://github.com/mlr-org/mlr3tuning |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | mlr3tuning results |
Reference manual: | mlr3tuning.pdf |
Package source: | mlr3tuning_0.1.0.tar.gz |
Windows binaries: | r-devel: mlr3tuning_0.1.0.zip, r-devel-gcc8: mlr3tuning_0.1.0.zip, r-release: mlr3tuning_0.1.0.zip, r-oldrel: mlr3tuning_0.1.0.zip |
OS X binaries: | r-release: mlr3tuning_0.1.0.tgz, r-oldrel: mlr3tuning_0.1.0.tgz |
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