Package: mlr3tuning 1.0.0
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:
mlr3tuning_1.0.0.tar.gz
mlr3tuning_1.0.0.tar.gz(r-4.5-noble)mlr3tuning_1.0.0.tar.gz(r-4.4-noble)
mlr3tuning_1.0.0.tgz(r-4.4-emscripten)mlr3tuning_1.0.0.tgz(r-4.3-emscripten)
mlr3tuning.pdf |mlr3tuning.html✨
mlr3tuning/json (API)
NEWS
# Installmlr3tuning in R: |
install.packages('mlr3tuning',repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mlr-org/mlr3tuning/issues
Last updated 6 days agofrom:c7a7a1e089
Exports:ArchiveAsyncTuningArchiveBatchTuningas_search_spaceas_tuneras_tunersassert_tunerassert_tuner_asyncassert_tuner_batchassert_tunersassert_tuning_instanceassert_tuning_instance_asyncassert_tuning_instance_batchauto_tunerAutoTunercallback_async_tuningcallback_batch_tuningCallbackAsyncTuningCallbackBatchTuningclbkclbksContextAsyncTuningContextBatchTuningextract_inner_tuning_archivesextract_inner_tuning_resultsmlr_callbacksmlr_terminatorsmlr_tunersObjectiveTuningObjectiveTuningAsyncObjectiveTuningBatchtiti_asynctnrtnrstrmtrmstunetune_nestedTunerTunerAsyncTunerAsyncDesignPointsTunerAsyncFromOptimizerAsyncTunerAsyncGridSearchTunerAsyncRandomSearchTunerBatchTunerBatchCmaesTunerBatchDesignPointsTunerBatchFromOptimizerBatchTunerBatchGenSATunerBatchGridSearchTunerBatchInternalTunerBatchIraceTunerBatchNLoptrTunerBatchRandomSearchTuningInstanceAsyncMultiCritTuningInstanceAsyncSingleCritTuningInstanceBatchMultiCritTuningInstanceBatchSingleCritTuningInstanceMultiCritTuningInstanceSingleCrit
Dependencies:backportsbbotkcheckmatecodetoolsdata.tabledigestevaluatefuturefuture.applyglobalslgrlistenvmlbenchmlr3mlr3measuresmlr3miscpalmerpenguinsparadoxparallellyPRROCR6RhpcBLASctluuid