Releases · mlr-org/mlr3tuning

feat: Resample stages from CallbackResample are now available in CallbackBatchTuning and CallbackAsyncTuning.
fix: The $predict_type was written to the model even when the AutoTuner was not trained.
feat: Internal tuned values are now visible in logs.
BREAKING CHANGE: Remove internal search space argument.
BREAKING CHANGE: The mlr3 ecosystem has a base logger now which is named mlr3.
The mlr3/bbotk logger is a child of the mlr3 logger and is used for logging messages from the bbotk and mlr3tuning package.
feat: Classes are now printed with the cli package.

feat: Save ArchiveAsyncTuning to a data.table with ArchiveAsyncTuningFrozen.
perf: Save models on worker only when requested in ObjectiveTuningAsync.

feat: Add new callback clbk("mlr3tuning.one_se_rule") that selects the the hyperparameter configuration with the smallest feature set within one standard error of the best.
feat: Add new stages on_tuning_result_begin and on_result_begin to CallbackAsyncTuning and CallbackBatchTuning.
refactor: Rename stage on_result to on_result_end in CallbackAsyncTuning and CallbackBatchTuning.
docs: Extend the CallbackAsyncTuning and CallbackBatchTuning documentation.
compatibility: mlr3 0.22.0

fix: The as_data_table() functions do not unnest the x_domain colum anymore by default.
fix: to_tune(internal = TRUE) now also works if non-internal tuning parameters require have an .extra_trafo.
feat: It is now possible to pass an internal_search_space manually.
This allows to use parameter transformations on the primary search space in combination with internal hyperparameter tuning.
refactor: The Tuner pass extra information of the result in the extra parameter now.

refactor: Replace internal tuning callback.
perf: Delete intermediate BenchmarkResult in ObjectiveTuningBatch after optimization.

feat: Introduce asynchronous optimization with the TunerAsync and TuningInstanceAsync* classes.
BREAKING CHANGE: The Tuner class is TunerBatch now.
BREAKING CHANGE: THe TuningInstanceSingleCrit and TuningInstanceMultiCrit classes are TuningInstanceBatchSingleCrit and TuningInstanceBatchMultiCrit now.
BREAKING CHANGE: The CallbackTuning class is CallbackBatchTuning now.
BREAKING CHANGE: The ContextEval class is ContextBatchTuning now.
refactor: Remove hotstarting from batch optimization due to low performance.
refactor: The option evaluate_default is a callback now.

Releases: mlr-org/mlr3tuning