Package: mlr3tuning 1.6.0

Marc Becker

mlr3tuning: Hyperparameter Optimization for 'mlr3'

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.

Authors:Marc Becker [cre, aut], Michel Lang [aut], Jakob Richter [aut], Bernd Bischl [aut], Daniel Schalk [aut]

mlr3tuning_1.6.0.tar.gz
mlr3tuning_1.6.0.zip(r-4.7)mlr3tuning_1.6.0.zip(r-4.6)mlr3tuning_1.6.0.zip(r-4.5)
mlr3tuning_1.6.0.tgz(r-4.6-any)mlr3tuning_1.6.0.tgz(r-4.5-any)
mlr3tuning_1.6.0.tar.gz(r-4.7-any)mlr3tuning_1.6.0.tar.gz(r-4.6-any)
mlr3tuning_1.6.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mlr3tuning/json (API)

# Install 'mlr3tuning' in R:

install.packages('mlr3tuning', repos = c('https://mlr-org.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mlr-org/mlr3tuning/issues

Pkgdown/docs site:https://mlr3tuning.mlr-org.com

On CRAN:

bbotk hyperparameter-optimization hyperparameter-tuning machine-learning mlr3 optimization tune tuning

13.00 score 60 stars 40 packages 852 scripts 20k downloads 1 mentions 65 exports 30 dependencies

Last updated from:0fccf22aae (on v1.6.0). Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	440
source / vignettes	OK	214
linux-release-x86_64	OK	397
macos-release-arm64	OK	233
macos-oldrel-arm64	OK	280
windows-devel	OK	495
windows-release	OK	424
windows-oldrel	OK	371
wasm-release	OK	162

Exports:ArchiveAsyncTuning ArchiveAsyncTuningFrozen ArchiveBatchTuning as_search_space as_tuner as_tuners assert_async_tuning_callback assert_async_tuning_callbacks assert_batch_tuning_callback assert_batch_tuning_callbacks assert_tuner assert_tuner_async assert_tuner_batch assert_tuners assert_tuning_instance assert_tuning_instance_async assert_tuning_instance_batch auto_tuner AutoTuner callback_async_tuning callback_batch_tuning CallbackAsyncTuning CallbackBatchTuning clbk clbks ContextAsyncTuning ContextBatchTuning extract_inner_tuning_archives extract_inner_tuning_results mlr_callbacks mlr_terminators mlr_tuners ObjectiveTuning ObjectiveTuningAsync ObjectiveTuningBatch ti ti_async tnr tnrs trm trms tune tune_nested Tuner TunerAsync TunerAsyncDesignPoints TunerAsyncFromOptimizerAsync TunerAsyncGridSearch TunerAsyncRandomSearch TunerBatch TunerBatchCmaes TunerBatchDesignPoints TunerBatchFromOptimizerBatch TunerBatchGenSA TunerBatchGridSearch TunerBatchInternal TunerBatchIrace TunerBatchNLoptr TunerBatchRandomSearch TuningInstanceAsyncMultiCrit TuningInstanceAsyncSingleCrit TuningInstanceBatchMultiCrit TuningInstanceBatchSingleCrit TuningInstanceMultiCrit TuningInstanceSingleCrit

Dependencies:backports bbotk checkmate cli codetools data.table digest evaluate future future.apply globals lgr listenv matrixStats mirai mlbench mlr3 mlr3measures mlr3misc moocore nanonext palmerpenguins paradox parallelly PRROC R6 rbibutils Rdpack rlang uuid

Add a new Tuner

Rendered fromextending.Rmdusingknitr::rmarkdown

Last update: 2026-02-19
Started: 2023-06-26

Help page	Topics
mlr3tuning: Hyperparameter Optimization for 'mlr3'	mlr3tuning-package mlr3tuning
Rush Data Storage	ArchiveAsyncTuning
Frozen Rush Data Storage	ArchiveAsyncTuningFrozen
Class for Logging Evaluated Hyperparameter Configurations	ArchiveBatchTuning
Convert to a Search Space	as_search_space as_search_space.Learner as_search_space.ParamSet
Convert to a Tuner	as_tuner as_tuner.Tuner as_tuners as_tuners.default as_tuners.list
Assertions for Callbacks	assert_async_tuning_callback assert_async_tuning_callbacks
Assertions for Callbacks	assert_batch_tuning_callback assert_batch_tuning_callbacks
Function for Automatic Tuning	auto_tuner
Class for Automatic Tuning	AutoTuner
Create Asynchronous Tuning Callback	callback_async_tuning
Create Batch Tuning Callback	callback_batch_tuning
Asynchronous Tuning Callback	CallbackAsyncTuning
Create Batch Tuning Callback	CallbackBatchTuning
Asynchronous Tuning Context	ContextAsyncTuning
Batch Tuning Context	ContextBatchTuning
Extract Inner Tuning Archives	extract_inner_tuning_archives
Extract Inner Tuning Results	extract_inner_tuning_results extract_inner_tuning_results.BenchmarkResult extract_inner_tuning_results.ResampleResult
Dictionary of Tuners	mlr_tuners
Hyperparameter Tuning with Asynchronous Design Points	mlr_tuners_async_design_points TunerAsyncDesignPoints
Hyperparameter Tuning with Asynchronous Grid Search	mlr_tuners_async_grid_search TunerAsyncGridSearch
Hyperparameter Tuning with Asynchronous Random Search	mlr_tuners_async_random_search TunerAsyncRandomSearch
Hyperparameter Tuning with Covariance Matrix Adaptation Evolution Strategy	mlr_tuners_cmaes TunerBatchCmaes
Hyperparameter Tuning with Design Points	mlr_tuners_design_points TunerBatchDesignPoints
Hyperparameter Tuning with Generalized Simulated Annealing	mlr_tuners_gensa TunerBatchGenSA
Hyperparameter Tuning with Grid Search	mlr_tuners_grid_search TunerBatchGridSearch
Hyperparameter Tuning with Internal Tuning	mlr_tuners_internal TunerBatchInternal
Hyperparameter Tuning with Iterated Racing.	mlr_tuners_irace TunerBatchIrace
Hyperparameter Tuning with Non-linear Optimization	mlr_tuners_nloptr TunerBatchNLoptr
Hyperparameter Tuning with Random Search	mlr_tuners_random_search TunerBatchRandomSearch
Default Configuration Callback	mlr3tuning.async_default_configuration
Freeze Archive Callback	mlr3tuning.async_freeze_archive
MLflow Connector Callback	mlr3tuning.async_mlflow
Save Logs Callback	mlr3tuning.async_save_logs
Backup Benchmark Result Callback	mlr3tuning.backup
Measure Callback	mlr3tuning.async_measures mlr3tuning.measures
One Standard Error Rule Callback	mlr3tuning.one_se_rule
Class for Tuning Objective	ObjectiveTuning
Class for Tuning Objective	ObjectiveTuningAsync
Class for Tuning Objective	ObjectiveTuningBatch
Configure Validation for AutoTuner	set_validate.AutoTuner
Syntactic Sugar for Tuning Instance Construction	ti
Syntactic Sugar for Asynchronous Tuning Instance Construction	ti_async
Syntactic Sugar for Tuning Objects Construction	tnr tnrs
Function for Tuning a Learner	tune
Function for Nested Resampling	tune_nested
Tuner	Tuner
Class for Asynchronous Tuning Algorithms	TunerAsync
Class for Batch Tuning Algorithms	TunerBatch
Multi-Criteria Tuning with Rush	TuningInstanceAsyncMultiCrit
Single Criterion Tuning with Rush	TuningInstanceAsyncSingleCrit
Class for Multi Criteria Tuning	TuningInstanceBatchMultiCrit
Class for Single Criterion Tuning	TuningInstanceBatchSingleCrit
Multi Criteria Tuning Instance for Batch Tuning	TuningInstanceMultiCrit
Single Criterion Tuning Instance for Batch Tuning	TuningInstanceSingleCrit

Package: mlr3tuning 1.6.0

mlr3tuning: Hyperparameter Optimization for 'mlr3'

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