Hyperparameter optimization package of the mlr3 ecosystem
TunerIrace failed with logical parameters and dependencies.store_benchmark_result = TRUE if store_models = TRUE when creating a tuning instance.tune_nested() did not work.$phash() method to AutoTuner.Tuner in hash of AutoTuner.method parameter of tune(), tune_nested() and auto_tuner() is renamed to tuner.
Only Tuner objects are accepted now.
Arguments to the tuner cannot be passed with ... anymore.tuner parameter of AutoTuner is moved to the first position to achieve consistency with the other functions.allow_hotstarting, keep_hotstart_stack and keep_models flags to AutoTuner and auto_tuner().AutoTuner accepts instantiated resamplings now.
The AutoTuner checks if all row ids of the inner resampling are present in the outer resampling train set when nested resampling is performed.Tuner did not create a ContextOptimization.ti() function did not accept callbacks.$importance(), $selected_features(), $oob_error() and $loglik() are forwarded from the final model to the AutoTuner now.AutoTuner stores the instance and benchmark result if store_models = TRUE.AutoTuner stores the instance if store_benchmark_result = TRUE.mlr_callbacks.callback_tuning().mlr_callbacks.callback_tuning().