Function reference • mlr3tuning

Tuning Instances

TuningInstanceAsyncMultiCrit: Multi-Criteria Tuning with Rush

TuningInstanceAsyncSingleCrit: Single Criterion Tuning with Rush

TuningInstanceBatchMultiCrit: Class for Multi Criteria Tuning

TuningInstanceBatchSingleCrit: Class for Single Criterion Tuning

TuningInstanceMultiCrit: Multi Criteria Tuning Instance for Batch Tuning

TuningInstanceSingleCrit: Single Criterion Tuning Instance for Batch Tuning

ti(): Syntactic Sugar for Tuning Instance Construction

ti_async(): Syntactic Sugar for Asynchronous Tuning Instance Construction

ObjectiveTuning: Class for Tuning Objective

ObjectiveTuningAsync: Class for Tuning Objective

ObjectiveTuningBatch: Class for Tuning Objective

ArchiveAsyncTuning: Rush Data Storage

ArchiveBatchTuning: Class for Logging Evaluated Hyperparameter Configurations

tune(): Function for Tuning a Learner

Tuners

Tuner: Tuner

TunerAsync: Class for Asynchronous Tuning Algorithms

TunerBatch: Class for Batch Tuning Algorithms

mlr_tuners_async_design_points TunerAsyncDesignPoints: Hyperparameter Tuning with Asynchronous Design Points

mlr_tuners_async_grid_search TunerAsyncGridSearch: Hyperparameter Tuning with Asynchronous Grid Search

mlr_tuners_async_random_search TunerAsyncRandomSearch: Hyperparameter Tuning with Asynchronous Random Search

mlr_tuners_cmaes TunerBatchCmaes: Hyperparameter Tuning with Covariance Matrix Adaptation Evolution Strategy

mlr_tuners_design_points TunerBatchDesignPoints: Hyperparameter Tuning with Design Points

mlr_tuners_gensa TunerBatchGenSA: Hyperparameter Tuning with Generalized Simulated Annealing

mlr_tuners_grid_search TunerBatchGridSearch: Hyperparameter Tuning with Grid Search

mlr_tuners_internal TunerBatchInternal: Hyperparameter Tuning with Internal Tuning

mlr_tuners_irace TunerBatchIrace: Hyperparameter Tuning with Iterated Racing.

mlr_tuners_nloptr TunerBatchNLoptr: Hyperparameter Tuning with Non-linear Optimization

mlr_tuners_random_search TunerBatchRandomSearch: Hyperparameter Tuning with Random Search

mlr_tuners: Dictionary of Tuners

tnr() tnrs(): Syntactic Sugar for Tuning Objects Construction

AutoTuner: Class for Automatic Tuning

auto_tuner(): Function for Automatic Tuning

set_validate(<AutoTuner>): Configure Validation for AutoTuner

Terminators

reexports mlr_terminators trm trms mlr_callbacks clbk clbks: Objects exported from other packages

Nested Resampling

tune_nested(): Function for Nested Resampling

extract_inner_tuning_archives(): Extract Inner Tuning Archives

extract_inner_tuning_results(): Extract Inner Tuning Results

Callbacks

CallbackAsyncTuning: Create Asynchronous Tuning Callback

CallbackBatchTuning: Create Batch Tuning Callback

ContextAsyncTuning: Asynchronous Tuning Context

ContextBatchTuning: Batch Tuning Context

callback_async_tuning(): Create Asynchronous Tuning Callback

callback_batch_tuning(): Create Batch Tuning Callback

mlr3tuning mlr3tuning-package: mlr3tuning: Hyperparameter Optimization for 'mlr3'

mlr3tuning.asnyc_mlflow: MLflow Connector Callback

mlr3tuning.async_default_configuration: Default Configuration Callback

mlr3tuning.async_save_logs: Save Logs Callback

mlr3tuning.backup: Backup Benchmark Result Callback

mlr3tuning.measures mlr3tuning.async_measures: Measure Callback

Converters

as_search_space(): Convert to a Search Space

as_tuner() as_tuners(): Convert to a Tuner

Package

mlr3tuning mlr3tuning-package: mlr3tuning: Hyperparameter Optimization for 'mlr3'