mlr3tuning.async_freeze_archive

<p>This CallbackAsyncTuning freezes the ArchiveAsyncTuning to ArchiveAsyncTuningFrozen after the optimization has finished.</p>

Hyperparameter optimization package of the 'mlr3' ecosystem.
It features highly configurable search spaces via the 'paradox'
package and finds optimal hyperparameter configurations for any 'mlr3'
learner.  'mlr3tuning' works with several optimization algorithms e.g.
Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo')
and Hyperband (in 'mlr3hyperband'). Moreover, it can automatically
optimize learners and estimate the performance of optimized models
with nested resampling.

Marc Becker

mlr3tuning

Hyperparameter Optimization for 'mlr3'

Michel Lang

Jakob Richter

Bernd Bischl

Daniel Schalk

mlr3tuning.async_freeze_archive function

Freeze Archive Callback — mlr3tuning.async_freeze_archive

Freeze Archive Callback

mlr3tuning.async_freeze_archive: Freeze Archive Callback

Description

Arguments

Examples