Package: mlr3pipelines Title: Preprocessing Operators and Pipelines for 'mlr3' Version: 0.11.0 Authors@R: c(person(given = "Martin", family = "Binder", role = c("aut", "cre"), email = "mlr.developer@mb706.com"), person(given = "Florian", family = "Pfisterer", role = "aut", email = "pfistererf@googlemail.com", comment = c(ORCID = "0000-0001-8867-762X")), person(given = "Lennart", family = "Schneider", role = "aut", email = "lennart.sch@web.de", comment = c(ORCID = "0000-0003-4152-5308")), person(given = "Bernd", family = "Bischl", role = "aut", email = "bernd_bischl@gmx.net", comment = c(ORCID = "0000-0001-6002-6980")), person(given = "Michel", family = "Lang", role = "aut", email = "michellang@gmail.com", comment = c(ORCID = "0000-0001-9754-0393")), person(given = "Sebastian", family = "Fischer", role = "aut", email = "sebf.fischer@gmail.com", comment = c(ORCID = "0000-0002-9609-3197")), person(given = "Susanne", family = "Dandl", role = "aut", email = "dandl.susanne@googlemail.com"), person(given = "Keno", family = "Mersmann", role = "ctb", email = "keno.mersmann@gmail.com"), person(given = "Maximilian", family = "Mücke", role = "ctb", email = "muecke.maximilian@gmail.com", comment = c(ORCID = "0009-0000-9432-9795")), person(given = "Lona", family = "Koers", role = "ctb", email = "lona.koers@gmail.com"), person(given = "Alexander", family = "Winterstetter", role = "ctb", email = "alexander.winterstetter@gmail.com")) Description: Dataflow programming toolkit that enriches 'mlr3' with a diverse set of pipelining operators ('PipeOps') that can be composed into graphs. Operations exist for data preprocessing, model fitting, and ensemble learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can therefore be resampled, benchmarked, and tuned. License: LGPL-3 URL: https://mlr3pipelines.mlr-org.com, https://github.com/mlr-org/mlr3pipelines BugReports: https://github.com/mlr-org/mlr3pipelines/issues Depends: R (>= 4.1.0) Imports: backports, checkmate, cli, data.table, digest, lgr, mlr3 (>= 0.20.0), mlr3misc (>= 0.17.0), paradox (>= 1.0.0), R6 Suggests: ggplot2, glmnet, igraph, knitr, lme4, mlbench, bbotk (>= 0.3.0), mlr3filters (>= 0.8.1), mlr3learners, mlr3measures, nloptr, quanteda, rmarkdown, rpart, stopwords, testthat, visNetwork, bestNormalize, fastICA, kernlab, smotefamily, evaluate, NMF, MASS, GenSA, methods, vtreat, future, htmlwidgets, ranger, themis, splines, dimRed, RSpectra, RANN ByteCompile: true Encoding: UTF-8 Config/testthat/edition: 3 Config/testthat/parallel: true NeedsCompilation: no Roxygen: list(markdown = TRUE, r6 = FALSE) RoxygenNote: 7.3.3 VignetteBuilder: knitr, rmarkdown Collate: 'CnfAtom.R' 'CnfClause.R' 'CnfFormula.R' 'CnfFormula_simplify.R' 'CnfSymbol.R' 'CnfUniverse.R' 'FilterEnsemble.R' 'Graph.R' 'GraphLearner.R' 'mlr_pipeops.R' 'multiplicity.R' 'utils.R' 'PipeOp.R' 'PipeOpEnsemble.R' 'LearnerAvg.R' 'NO_OP.R' 'PipeOpTaskPreproc.R' 'PipeOpADAS.R' 'PipeOpBLSmote.R' 'PipeOpBoxCox.R' 'PipeOpBranch.R' 'PipeOpChunk.R' 'PipeOpClassBalancing.R' 'PipeOpClassWeights.R' 'PipeOpClassWeightsEx.R' 'PipeOpClassifAvg.R' 'PipeOpColApply.R' 'PipeOpColRoles.R' 'PipeOpCollapseFactors.R' 'PipeOpCopy.R' 'PipeOpDateFeatures.R' 'PipeOpDecode.R' 'PipeOpEncode.R' 'PipeOpEncodeImpact.R' 'PipeOpEncodeLmer.R' 'PipeOpEncodePL.R' 'PipeOpFeatureUnion.R' 'PipeOpFilter.R' 'PipeOpFixFactors.R' 'PipeOpHistBin.R' 'PipeOpICA.R' 'PipeOpImpute.R' 'PipeOpImputeConstant.R' 'PipeOpImputeHist.R' 'PipeOpImputeLearner.R' 'PipeOpImputeMean.R' 'PipeOpImputeMedian.R' 'PipeOpImputeMode.R' 'PipeOpImputeOOR.R' 'PipeOpImputeSample.R' 'PipeOpInfo.R' 'PipeOpIsomap.R' 'PipeOpKernelPCA.R' 'PipeOpLearner.R' 'PipeOpLearnerCV.R' 'PipeOpLearnerPICVPlus.R' 'PipeOpLearnerQuantiles.R' 'PipeOpMissingIndicators.R' 'PipeOpModelMatrix.R' 'PipeOpMultiplicity.R' 'PipeOpMutate.R' 'PipeOpNMF.R' 'PipeOpNOP.R' 'PipeOpNearmiss.R' 'PipeOpOVR.R' 'PipeOpPCA.R' 'PipeOpProxy.R' 'PipeOpQuantileBin.R' 'PipeOpRandomProjection.R' 'PipeOpRandomResponse.R' 'PipeOpRegrAvg.R' 'PipeOpRemoveConstants.R' 'PipeOpRenameColumns.R' 'PipeOpRowApply.R' 'PipeOpScale.R' 'PipeOpScaleMaxAbs.R' 'PipeOpScaleRange.R' 'PipeOpSelect.R' 'PipeOpSmote.R' 'PipeOpSmoteNC.R' 'PipeOpSpatialSign.R' 'PipeOpSplines.R' 'PipeOpSubsample.R' 'PipeOpTextVectorizer.R' 'PipeOpThreshold.R' 'PipeOpTomek.R' 'PipeOpTrafo.R' 'PipeOpTuneThreshold.R' 'PipeOpUnbranch.R' 'PipeOpVtreat.R' 'PipeOpYeoJohnson.R' 'Selector.R' 'TaskRegr_boston_housing.R' 'assert_graph.R' 'bibentries.R' 'greplicate.R' 'gunion.R' 'mlr_graphs.R' 'operators.R' 'pipeline_bagging.R' 'pipeline_branch.R' 'pipeline_convert_types.R' 'pipeline_greplicate.R' 'pipeline_ovr.R' 'pipeline_robustify.R' 'pipeline_stacking.R' 'pipeline_targettrafo.R' 'po.R' 'ppl.R' 'preproc.R' 'reexports.R' 'typecheck.R' 'zzz.R' Repository: https://mlr-org.r-universe.dev Date/Publication: 2026-02-28 21:30:42 UTC RemoteUrl: https://github.com/mlr-org/mlr3pipelines RemoteRef: v0.11.0 RemoteSha: fb2b81f17ecd70e21ba3710c71f87924ccdd8769 Packaged: 2026-07-11 09:12:01 UTC; root Author: Martin Binder [aut, cre], Florian Pfisterer [aut] (ORCID: ), Lennart Schneider [aut] (ORCID: ), Bernd Bischl [aut] (ORCID: ), Michel Lang [aut] (ORCID: ), Sebastian Fischer [aut] (ORCID: ), Susanne Dandl [aut], Keno Mersmann [ctb], Maximilian Mücke [ctb] (ORCID: ), Lona Koers [ctb], Alexander Winterstetter [ctb] Maintainer: Martin Binder