Specialized bbotk::CallbackOptimization for tuning.
Callbacks allow to customize the behavior of processes in mlr3tuning.
The callback_tuning() function creates a CallbackTuning.
Predefined callbacks are stored in the dictionary mlr_callbacks and can be retrieved with clbk().
For more information on tuning callbacks see callback_tuning().
Super classes
mlr3misc::Callback -> bbotk::CallbackOptimization -> CallbackTuning
Public fields
on_eval_after_design(
function())
Stage called after design is created. Called inObjectiveTuning$eval_many().on_eval_after_benchmark(
function())
Stage called after hyperparameter configurations are evaluated. Called inObjectiveTuning$eval_many().on_eval_before_archive(
function())
Stage called before performance values are written to the archive. Called inObjectiveTuning$eval_many().
Examples
# write archive to disk
callback_tuning("mlr3tuning.backup",
on_optimization_end = function(callback, context) {
saveRDS(context$instance$archive, "archive.rds")
}
)
#> <CallbackTuning:mlr3tuning.backup>
#> * Active Stages: on_optimization_end
