bbotk, cluster, distr6 (>= 1.6.9), factoextra, GGally,
ggfortify (>= 0.4.11), ggparty, glmnet, knitr, lgr, mlr3 (>=
0.6.0), mlr3cluster, mlr3filters, mlr3learners, mlr3proba (>=
0.3.2), mlr3tuning (>= 0.9.0), paradox, partykit, patchwork (>=
1.1.1), precrec, ranger, rpart, stats, survival, testthat (>=
3.0.0), vdiffr (>= 1.0.2), xgboost
'BenchmarkResult.R' 'Filter.R' 'LearnerClassifCVGlmnet.R'
'LearnerClassifGlmnet.R' 'LearnerClassifRpart.R'
'LearnerClustHierarchical.R' 'LearnerRegrCVGlmnet.R'
'LearnerRegrGlmnet.R' 'LearnerRegrRpart.R'
'OptimInstanceSingleCrit.R' 'Prediction.R'
'PredictionClassif.R' 'PredictionClust.R' 'PredictionRegr.R'
'PredictionSurv.R' 'ResampleResult.R' 'Task.R' 'TaskClassif.R'
'TaskClust.R' 'TaskDens.R' 'TaskRegr.R' 'TaskSurv.R'
'TuningInstanceSingleCrit.R' 'as_precrec.R' 'bibentries.R'
'helper.R' 'plot_learner_prediction.R' 'reexports.R'
'theme-mlr3.R' 'zzz.R'

bbotk, cluster, distr6 (>= 1.6.9), factoextra, GGally,
ggfortify (>= 0.4.11), ggparty, glmnet, knitr, lgr, mlr3 (>=
0.6.0), mlr3cluster, mlr3filters, mlr3learners, mlr3tuning (>=
0.9.0), paradox, partykit, patchwork (>= 1.1.1), precrec,
ranger, rpart, stats, testthat (>= 3.0.0), vdiffr (>= 1.0.2),
xgboost

Composable Preprocessing Operators and Pipelines for Machine
Learning
Toolset that enriches 'mlr' with a diverse set of preprocessing
operators. Composable Preprocessing Operators ("CPO"s) are first-class
R objects that can be applied to data.frames and 'mlr' "Task"s to modify
data, can be attached to 'mlr' "Learner"s to add preprocessing to machine
learning algorithms, and can be composed to form preprocessing pipelines.
c(
person("Martin", "Binder", email = "ma.binder@campus.lmu.de", role = c("aut", "cre")),
person("Bernd", "Bischl", email = "bernd_bischl@gmx.net", role = "ctb"),
person("Michel", "Lang", email = "michellang@gmail.com", role = "ctb"),
person("Lars", "Kotthoff", email = "larsko@cs.ubc.ca", role = "ctb"))
BBmisc (>= 1.11), stringi, checkmate (>= 1.8.3), methods,
stats, utils, backports (>= 1.1.0)
party, rpart, mlbench, knitr, rmarkdown, testthat, mRMRe,
care, randomForestSRC, randomForest, ranger (>= 0.8.0), Rfast,
FSelector, e1071, DiscriMiner, digest, lintr, Hmisc, fastICA
'CPOHelp.R' 'fauxCPOConstructor.R' 'auxiliary.R'
'ParamSetSugar.R' 'callInterface.R' 'FormatCheck.R' 'callCPO.R'
'properties.R' 'parameters.R' 'listCPO.R' 'makeCPO.R'
'CPO_applyFun.R' 'CPO_asNumeric.R' 'operators.R' 'NULLCPO.R'
'CPO_meta.R' 'CPO_cbind.R' 'CPO_collapseFact.R'
'CPO_dropConstants.R' 'CPO_encode.R' 'CPO_filterFeatures.R'
'CPO_fixFactors.R' 'CPO_ica.R' 'CPO_impute.R' 'CPO_makeCols.R'
'CPO_missingIndicators.R' 'CPO_modelMatrix.R' 'CPO_pca.R'
'CPO_quantileBinNumerics.R' 'CPO_regrResiduals.R'
'CPO_responseFromSE.R' 'CPO_scale.R' 'CPO_scaleMaxAbs.R'
'CPO_scaleRange.R' 'CPO_select.R' 'CPO_smote.R'
'CPO_spatialSign.R' 'CPO_subsample.R' 'CPO_wrap.R'
'RetrafoState.R' 'attributes.R' 'auxhelp.R'
'composeProperties.R' 'doublecaret.R' 'inverter.R' 'learner.R'
'makeCPOHelp.R' 'print.R' 'zzz.R'
Martin Binder [aut, cre],
Bernd Bischl [ctb],
Michel Lang [ctb],
Lars Kotthoff [ctb]