mlr3tuning.async_save_logs

<p>This CallbackAsyncTuning saves the logs of the learners to the archive.</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_save_logs function

Save Logs Callback — mlr3tuning.async_save_logs

Save Logs Callback

mlr3tuning.async_save_logs: Save Logs Callback

Description

Arguments