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.

mlr3tuning 0.16.0

• feat: Add new callback that enables early stopping while tuning to mlr_callbacks.
• feat: Add new callback that backups the benchmark result to disk after each batch.
• feat: Create custom callbacks with the callback_tuning().

mlr3tuning 0.15.0

• fix: AutoTuner did not accept TuningSpace objects as search spaces.
• feat: Add ti() function to create a TuningInstanceSingleCrit or TuningInstanceMultiCrit.
• docs: Documentation has a technical details section now.
• feat: New option for extract_inner_tuning_results() to return the tuning instances.