Package: mlr3automl 0.1.0.9000

Marc Becker

mlr3automl: Automated Machine Learning for 'mlr3'

Flexible automated machine learning (AutoML) system for the 'mlr3' ecosystem. Automatically selects a suitable machine learning algorithm and tunes its hyperparameters for a given task. Constructs preprocessing pipelines with multiple parallel branches using 'mlr3pipelines' and jointly optimizes them together with the learners using 'mlr3tuning'. The optimization is driven by asynchronous decentralized Bayesian optimization by Egele et al. (2023) <doi:10.1109/e-Science58273.2023.10254839>.

Authors:Marc Becker [cre, aut, cph], Damir Pulatov [aut], Baisu Zhou [aut], Lona Koers [aut]

mlr3automl_0.1.0.9000.tar.gz
mlr3automl_0.1.0.9000.zip(r-4.7-any)mlr3automl_0.1.0.9000.zip(r-4.6-any)mlr3automl_0.1.0.9000.zip(r-4.5-any)
mlr3automl_0.1.0.9000.tgz(r-4.6-any)mlr3automl_0.1.0.9000.tgz(r-4.5-any)
mlr3automl_0.1.0.9000.tar.gz(r-4.7-any)mlr3automl_0.1.0.9000.tar.gz(r-4.6-any)
mlr3automl_0.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mlr3automl/json (API)

# Install 'mlr3automl' in R:
install.packages('mlr3automl', repos = c('https://mlr-org.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mlr-org/mlr3automl/issues

Pkgdown/docs site:https://mlr3automl.mlr-org.com

On CRAN:

Conda:

5.52 score 6 stars 29 scripts 287 downloads 51 exports 47 dependencies

Last updated from:6912c0e0ad. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING299
source / vignettesOK279
linux-releaseWARNING333
macos-releaseWARNING218
macos-oldrelWARNING231
windows-develWARNING231
windows-releaseWARNING298
windows-oldrelWARNING274
wasm-releaseOK192

Exports:autoAutoAutoCatboostAutoExtraTreesAutoFastaiAutoFTTransformerAutoGlmnetAutoKKNNAutoLdaAutoLightGBMAutoMLPAutoRangerAutoResNetAutoSVMAutoTabFMAutoTabPFNAutoXgboostinstall_python_learnersLearnerClassifAutoLearnerClassifAutoCatboostLearnerClassifAutoFastaiLearnerClassifAutoFTTransformerLearnerClassifAutoGlmnetLearnerClassifAutoKKNNLearnerClassifAutoLightGBMLearnerClassifAutoMLPLearnerClassifAutoRangerLearnerClassifAutoResNetLearnerClassifAutoSVMLearnerClassifAutoTabFMLearnerClassifAutoTabPFNLearnerClassifAutoXgboostLearnerClassifFastaiIsolatedLearnerClassifTabFMIsolatedLearnerClassifTabPFNIsolatedLearnerRegrAutoLearnerRegrAutoCatboostLearnerRegrAutoFTTransformerLearnerRegrAutoGlmnetLearnerRegrAutoKKNNLearnerRegrAutoLightGBMLearnerRegrAutoMLPLearnerRegrAutoRangerLearnerRegrAutoResNetLearnerRegrAutoSVMLearnerRegrAutoTabFMLearnerRegrAutoTabPFNLearnerRegrAutoXgboostLearnerRegrTabFMIsolatedLearnerRegrTabPFNIsolatedmlr_auto

Dependencies:askpassbackportsbbotkcheckmateclicodetoolsdata.tabledigestevaluatefuturefuture.applyglobalsidsjsonlitelgrlhslistenvmatrixStatsmiraimlbenchmlr3mlr3learnersmlr3mbomlr3measuresmlr3miscmlr3pipelinesmlr3tuningmoocorenanonextopensslpalmerpenguinsparadoxparallellyprocessxPRROCpsR6rbibutilsRcppRdpackreduxrlangrushspacefillrstorrsysuuid

Readme and manuals

Help Manual

Help pageTopics
mlr3automl: Automated Machine Learning for 'mlr3'mlr3automl-package mlr3automl
Auto ClassAuto
Catboost AutoAutoCatboost
Extra Trees AutoAutoExtraTrees
Fastai AutoAutoFastai
FTTransformer AutoAutoFTTransformer
Glmnet AutoAutoGlmnet
KKNN AutoAutoKKNN
Lda AutoAutoLda
LightGBM AutoAutoLightGBM
MLP AutoAutoMLP
Ranger AutoAutoRanger
ResNet AutoAutoResNet
SVM AutoAutoSVM
TabFM AutoAutoTabFM
TabPFN AutoAutoTabPFN
Xgboost AutoAutoXgboost
Install Python Learnersinstall_python_learners
Classification AutoML LearnerLearnerClassifAuto
Classification Gradient Boosted Decision Trees Auto LearnerLearnerClassifAutoCatboost
Classification Fastai Auto LearnerLearnerClassifAutoFastai
Classification FT-Transformer Auto LearnerLearnerClassifAutoFTTransformer
Classification GLM with Elastic Net Regularization Auto LearnerLearnerClassifAutoGlmnet
Classification k-Nearest-Neighbor Auto LearnerLearnerClassifAutoKKNN
Classification LightGBM Auto LearnerLearnerClassifAutoLightGBM
Classification MLP Auto LearnerLearnerClassifAutoMLP
Classification Ranger Auto LearnerLearnerClassifAutoRanger
Classification ResNet Auto LearnerLearnerClassifAutoResNet
Classification SVM Auto LearnerLearnerClassifAutoSVM
Classification TabFM Auto LearnerLearnerClassifAutoTabFM
Classification TabPFN Auto LearnerLearnerClassifAutoTabPFN
Classification XGBoost Auto LearnerLearnerClassifAutoXgboost
Fastai Learner IsolatedLearnerClassifFastaiIsolated
TabFM Learner IsolatedLearnerClassifTabFMIsolated
TabPFN Learner IsolatedLearnerClassifTabPFNIsolated
Regression AutoML LearnerLearnerRegrAuto
Regression Gradient Boosted Decision Trees Auto LearnerLearnerRegrAutoCatboost
Regression FT-Transformer Auto LearnerLearnerRegrAutoFTTransformer
Regression GLM with Elastic Net Regularization Auto LearnerLearnerRegrAutoGlmnet
Regression k-Nearest-Neighbor Auto LearnerLearnerRegrAutoKKNN
Regression LightGBM Auto LearnerLearnerRegrAutoLightGBM
Regression MLP Auto LearnerLearnerRegrAutoMLP
Regression Ranger Auto LearnerLearnerRegrAutoRanger
Regression ResNet Auto LearnerLearnerRegrAutoResNet
Regression SVM Auto LearnerLearnerRegrAutoSVM
Regression TabFM Auto LearnerLearnerRegrAutoTabFM
Regression TabPFN Auto LearnerLearnerRegrAutoTabPFN
Regression XGBoost Auto LearnerLearnerRegrAutoXgboost
TabFM Regressor Learner IsolatedLearnerRegrTabFMIsolated
TabPFN Regressor Learner IsolatedLearnerRegrTabPFNIsolated
Dictionary of Auto Objectsauto mlr_auto
Encapsulation Daemon Callbackmlr3automl.encapsulation_daemon
Initial Design Runtime Limit Callbackmlr3automl.initial_design_runtime