mlr3tuning1.5.1 package

Hyperparameter Optimization for 'mlr3'

ArchiveAsyncTuning

Rush Data Storage

ArchiveAsyncTuningFrozen

Frozen Rush Data Storage

ArchiveBatchTuning

Class for Logging Evaluated Hyperparameter Configurations

as_search_space

Convert to a Search Space

as_tuner

Convert to a Tuner

assert_async_tuning_callback

Assertions for Callbacks

assert_batch_tuning_callback

Assertions for Callbacks

auto_tuner

Function for Automatic Tuning

AutoTuner

Class for Automatic Tuning

callback_async_tuning

Create Asynchronous Tuning Callback

callback_batch_tuning

Create Batch Tuning Callback

CallbackAsyncTuning

Asynchronous Tuning Callback

CallbackBatchTuning

Create Batch Tuning Callback

ContextAsyncTuning

Asynchronous Tuning Context

ContextBatchTuning

Batch Tuning Context

extract_inner_tuning_archives

Extract Inner Tuning Archives

extract_inner_tuning_results

Extract Inner Tuning Results

mlr_tuners_async_design_points

Hyperparameter Tuning with Asynchronous Design Points

mlr_tuners_async_grid_search

Hyperparameter Tuning with Asynchronous Grid Search

mlr_tuners_async_random_search

Hyperparameter Tuning with Asynchronous Random Search

mlr_tuners_cmaes

Hyperparameter Tuning with Covariance Matrix Adaptation Evolution Stra...

mlr_tuners_design_points

Hyperparameter Tuning with Design Points

mlr_tuners_gensa

Hyperparameter Tuning with Generalized Simulated Annealing

mlr_tuners_grid_search

Hyperparameter Tuning with Grid Search

mlr_tuners_internal

Hyperparameter Tuning with Internal Tuning

mlr_tuners_irace

Hyperparameter Tuning with Iterated Racing.

mlr_tuners_nloptr

Hyperparameter Tuning with Non-linear Optimization

mlr_tuners_random_search

Hyperparameter Tuning with Random Search

mlr_tuners

Dictionary of Tuners

mlr3tuning_assertions

Assertion for mlr3tuning objects

mlr3tuning-package

mlr3tuning: Hyperparameter Optimization for 'mlr3'

mlr3tuning.asnyc_mlflow

MLflow Connector Callback

mlr3tuning.async_default_configuration

Default Configuration Callback

mlr3tuning.async_freeze_archive

Freeze Archive Callback

mlr3tuning.async_save_logs

Save Logs Callback

mlr3tuning.backup

Backup Benchmark Result Callback

mlr3tuning.measures

Measure Callback

mlr3tuning.one_se_rule

One Standard Error Rule Callback

ObjectiveTuning

Class for Tuning Objective

ObjectiveTuningAsync

Class for Tuning Objective

ObjectiveTuningBatch

Class for Tuning Objective

reexports

Objects exported from other packages

set_validate.AutoTuner

Configure Validation for AutoTuner

ti_async

Syntactic Sugar for Asynchronous Tuning Instance Construction

ti

Syntactic Sugar for Tuning Instance Construction

tnr

Syntactic Sugar for Tuning Objects Construction

tune_nested

Function for Nested Resampling

tune

Function for Tuning a Learner

Tuner

Tuner

TunerAsync

Class for Asynchronous Tuning Algorithms

TunerAsyncFromOptimizerAsync

TunerAsyncFromOptimizerAsync

TunerBatch

Class for Batch Tuning Algorithms

TunerBatchFromOptimizerBatch

TunerBatchFromOptimizerBatch

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

Hyperparameter optimization package of the 'mlr3' ecosystem. It features highly configurable search spaces via the 'paradox' package and finds optimal hyperparameter configurations for any 'mlr3' learner. 'mlr3tuning' works with several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). Moreover, it can automatically optimize learners and estimate the performance of optimized models with nested resampling.

  • Maintainer: Marc Becker
  • License: LGPL-3
  • Last published: 2025-12-14