Package: mlrintermbo 0.5.1-2

Martin Binder

mlrintermbo: Model-Based Optimization for 'mlr3' Through 'mlrMBO'

The 'mlrMBO' package can ordinarily not be used for optimization within 'mlr3', because of incompatibilities of their respective class systems. 'mlrintermbo' offers a compatibility interface that provides 'mlrMBO' as an 'mlr3tuning' 'Tuner' object, for tuning of machine learning algorithms within 'mlr3', as well as a 'bbotk' 'Optimizer' object for optimization of general objective functions using the 'bbotk' black box optimization framework. The control parameters of 'mlrMBO' are faithfully reproduced as a 'paradox' 'ParamSet'.

Authors:Martin Binder [aut, cre]

mlrintermbo_0.5.1-2.tar.gz
mlrintermbo_0.5.1-2.zip(r-4.7)mlrintermbo_0.5.1-2.zip(r-4.6)mlrintermbo_0.5.1-2.zip(r-4.5)
mlrintermbo_0.5.1-2.tgz(r-4.6-any)mlrintermbo_0.5.1-2.tgz(r-4.5-any)
mlrintermbo_0.5.1-2.tar.gz(r-4.7-any)mlrintermbo_0.5.1-2.tar.gz(r-4.6-any)
mlrintermbo_0.5.1-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
mlrintermbo/json (API)
NEWS

# Install 'mlrintermbo' in R:
install.packages('mlrintermbo', repos = c('https://mb706.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mb706/mlrintermbo/issues

On CRAN:

Conda:

3.34 score 4 stars 11 scripts 607 downloads 9 exports 32 dependencies

Last updated from:056a498735. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK363
source / vignettesOK197
linux-release-x86_64OK373
macos-release-arm64OK254
macos-oldrel-arm64OK440
windows-develOK381
windows-releaseOK385
windows-oldrelOK376
wasm-releaseOK116

Exports:captureSpecialsmakeMlr3SurrogateOptimInstanceMultiCritOptimInstanceSingleCritOptimizerOptimizerInterMBOTunerInterMBOTuningInstanceMultiCritTuningInstanceSingleCrit

Dependencies:backportsbbotkcallrcheckmateclicodetoolsdata.tabledigestevaluatefuturefuture.applyglobalslgrlhslistenvmiraimlbenchmlr3mlr3measuresmlr3miscmlr3tuningnanonextpalmerpenguinsparadoxparallellyprocessxPRROCpsR6Rcpprlanguuid

Readme and manuals

Help Manual

Help pageTopics
mlrintermbo: Model-Based Optimization for 'mlr3' Through 'mlrMBO'mlrintermbo-package mlrintermbo
Create Surrogate LearnermakeMlr3Surrogate
OptimInstanceMultiCrit ClassOptimInstanceMultiCrit
OptimInstanceSingleCrit ClassOptimInstanceSingleCrit
Optimizer ClassOptimizer
Tuner and Optimizer using mlrMBOmlr_optimizers_intermbo mlr_tuners_intermbo OptimizerInterMBO TunerInterMBO
TuningInstanceMultiCrit ClassTuningInstanceMultiCrit
TuningInstanceSingleCrit ClassTuningInstanceSingleCrit