mlr3tuning 0.12.1

• feat: Added a as.data.table.DictionaryTuner method.
• feat: $help() method which opens manual page of a Tuner.

mlr3tuning 0.12.0

• feat: as_search_space() function to create search spaces from Learner and
  ParamSet objects. Allows to pass TuningSpace objects as search_space in
  TuningInstanceSingleCrit and TuningInstanceMultiCrit.
• feat: keep_hotstart_stack flag to remove mlr3::HotstartStack after tuning.
• feat: Store errors and warnings in Archive.
• feat: Default measure can be used in auto_tuner() and tune_nested().

mlr3tuning 0.11.0

• fix: $assign_result() method in TuningInstanceSingleCrit when search space is empty.
• feat: Default measure is used when no measure is supplied to TuningInstanceSingleCrit.

mlr3tuning 0.10.0

• Fixes bug in TuningInstanceMultiCrit$assign_result().
• Hotstarting of learners with previously fitted models.
• Remove deep clones to speed up tuning.
• Add store_models flag to auto_tuner().
• Add "noisy" property to ObjectiveTuning.

mlr3tuning 0.9.0

• Adds AutoTuner$base_learner() method to extract the base learner from
  nested learner objects.
• tune() supports multi-criteria tuning.
• Allows empty search space.
• Adds TunerIrace from irace package.
• extract_inner_tuning_archives() helper function to extract inner tuning
  archives.
• Removes ArchiveTuning$extended_archive() method. The mlr3::ResampleResults are
  joined automatically by as.data.table.TuningArchive() and
  extract_inner_tuning_archives().

mlr3tuning 0.8.0

• Adds tune(), auto_tuner() and tune_nested() sugar functions.
• TuningInstanceSingleCrit, TuningInstanceMultiCrit and AutoTuner can be
  initialized with store_benchmark_result = FALSE and store_models = TRUE
  to allow measures to access the models.
• Prettier printing methods.

mlr3tuning 0.7.0

• Fix TuningInstance*$assign_result() errors with required parameter bug.
• Shortcuts to access $learner(), $learners(), $learner_param_vals(),
  $predictions() and $resample_result() from benchmark result in archive.
• extract_inner_tuning_results() helper function to extract inner tuning
  results.

mlr3tuning 0.6.0

• ArchiveTuning$data is a public field now.

mlr3tuning 0.5.0

• Adds TunerCmaes from adagio package.
• Fix predict_type in AutoTuner.
• Support to set TuneToken in Learner$param_set and create a search space
  from it.
• The order of the parameters in TuningInstanceSingleCrit and
  TuningInstanceSingleCrit changed.

mlr3tuning 0.4.0

• Option to control store_benchmark_result, store_models and check_values
  in AutoTuner. store_tuning_instance must be set as a parameter during
  initialization.
• Fixes check_values flag in TuningInstanceSingleCrit and
  TuningInstanceMultiCrit.
• Removed dependency on orphaned package bibtex.