mlr3tuning 1.0.1

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

mlr3tuning 1.0.0

• 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.

mlr3tuning 0.20.0

• compatibility: Work with new paradox version 1.0.0
• fix: TunerIrace failed with logical parameters and dependencies.

mlr3tuning 0.19.2

• refactor: Change thread limits.

mlr3tuning 0.19.1

• refactor: Speed up the tuning process by minimizing the number of deep clones and parameter checks.
• fix: Set store_benchmark_result = TRUE if store_models = TRUE when creating a tuning instance.
• fix: Passing a terminator in tune_nested() did not work.

mlr3tuning 0.19.0

• fix: Add $phash() method to AutoTuner.
• fix: Include Tuner in hash of AutoTuner.
• feat: Add new callback that scores the configurations on additional measures while tuning.
• feat: Add vignette about adding new tuners which was previously part of the mlr3book.

mlr3tuning 0.18.0

• BREAKING CHANGE: The method parameter of tune(), tune_nested() and auto_tuner() is renamed to tuner.
  Only Tuner objects are accepted now.
  Arguments to the tuner cannot be passed with ... anymore.
• BREAKING CHANGE: The tuner parameter of AutoTuner is moved to the first position to achieve consistency with the other functions.
• docs: Update resources sections.
• docs: Add list of default measures.
• fix: Add allow_hotstarting, keep_hotstart_stack and keep_models flags to AutoTuner and auto_tuner().

mlr3tuning 0.17.2

• feat: AutoTuner accepts instantiated resamplings now.
  The AutoTuner checks if all row ids of the inner resampling are present in the outer resampling train set when nested resampling is performed.
• fix: Standalone Tuner did not create a ContextOptimization.

mlr3tuning 0.17.1

• fix: The ti() function did not accept callbacks.

mlr3tuning 0.17.0

• feat: The methods $importance(), $selected_features(), $oob_error() and $loglik() are forwarded from the final model to the AutoTuner now.
• refactor: The AutoTuner stores the instance and benchmark result if store_models = TRUE.
• refactor: The AutoTuner stores the instance if store_benchmark_result = TRUE.