A CallbackAsyncTuning accesses and modifies data during the optimization via the ContextAsyncTuning.
See the section on active bindings for a list of modifiable objects.
See callback_async_tuning() for a list of stages that access ContextAsyncTuning.
Details
Changes to $instance and $optimizer in the stages executed on the workers are not reflected in the main process.
Super classes
mlr3misc::Context -> bbotk::ContextAsync -> ContextAsyncTuning
Active bindings
xs_learner(list())
The hyperparameter configuration currently evaluated. Contains the values on the learner scale i.e. transformations are applied.resample_result(mlr3::BenchmarkResult)
The resample result of the hyperparameter configuration currently evaluated.aggregated_performance(
list())
Aggregated performance scores and training time of the evaluated hyperparameter configuration. This list is passed to the archive. A callback can add additional elements which are also written to the archive.result_learner_param_vals(list())
The learner parameter values passed toinstance$assign_result().