Provides an interface to 'OpenML.org' to list and
download machine learning data and tasks. Data and tasks can be
automatically converted to 'mlr3' tasks. For a more sophisticated
interface which also allows uploading experiments, see the 'OpenML'
package.
backports (>= 1.1.6), checkmate, curl, data.table, jsonlite,
lgr, mlr3, mlr3misc, R6, stringi

backports (>= 1.1.6), checkmate, curl, data.table, jsonlite,
lgr, mlr3, mlr3misc (>= 0.5.0), R6, stringi

backports (>= 1.1.6), checkmate, curl, data.table, jsonlite,
lgr, mlr3, mlr3misc (>= 0.7.0), R6, stringi
RWeka, farff, foreign, qs, testthat (>= 3.0.0)

backports (>= 1.1.6), checkmate, curl, data.table, jsonlite,
lgr, mlr3 (>= 0.10.0), mlr3misc (>= 0.7.0), R6, stringi
RWeka, farff, foreign, qs, testthat (>= 3.0.0), withr

RWeka, farff, foreign, mlr3proba, qs, testthat (>= 3.0.0),
withr

c(person("Michel", "Lang", , "michellang@gmail.com", role = "aut",
comment = c(ORCID = "0000-0001-9754-0393")),
person("Sebastian", "Fischer", , "sebf.fischer@gmail.com", role = c("cre", "aut"),
comment = c(ORCID = "0000-0002-9609-3197")))
Provides an interface to 'OpenML.org' to list and download
machine learning data, tasks and experiments. The 'OpenML' objects can be
automatically converted to 'mlr3' objects.
For a more sophisticated interface which also allows uploading to 'OpenML',
see the 'OpenML' package.
backports (>= 1.1.6), checkmate, curl, data.table, jsonlite,
lgr, methods, mlr3 (>= 0.14.0), mlr3misc (>= 0.7.0), paradox,
R6, stringi, uuid, withr
DBI, duckdb, mlr3db (>= 0.5.0), qs, RWeka, testthat (>=
3.0.0)

Preprocessing Operators and Pipelines for 'mlr3'
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 = "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 = "Susanne",
family = "Dandl",
role = "aut",
email = "dandl.susanne@googlemail.com"))
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.
backports, checkmate, data.table, digest, mlr3 (>= 0.1.3),
mlr3misc (>= 0.1.4), paradox, R6, withr
ggplot2, glmnet, igraph, knitr, lgr, lme4, mlbench,
mlr3filters, mlr3learners, nloptr, rmarkdown, rpart, testthat,
visNetwork, bestNormalize, fastICA, kernlab, smotefamily
'Graph.R' 'GraphLearner.R' 'mlr_pipeops.R' 'utils.R'
'PipeOp.R' 'PipeOpEnsemble.R' 'LearnerAvg.R' 'NO_OP.R'
'PipeOpTaskPreproc.R' 'PipeOpBoxCox.R' 'PipeOpBranch.R'
'PipeOpChunk.R' 'PipeOpClassBalancing.R' 'PipeOpClassifAvg.R'
'PipeOpColApply.R' 'PipeOpCollapseFactors.R' 'PipeOpCopy.R'
'PipeOpEncode.R' 'PipeOpEncodeLmer.R' 'PipeOpFeatureUnion.R'
'PipeOpFilter.R' 'PipeOpFixFactors.R' 'PipeOpHistBin.R'
'PipeOpICA.R' 'PipeOpImpute.R' 'PipeOpImputeHist.R'
'PipeOpImputeMean.R' 'PipeOpImputeMedian.R'
'PipeOpImputeNewlvl.R' 'PipeOpImputeSample.R'
'PipeOpKernelPCA.R' 'PipeOpLearner.R' 'PipeOpLearnerCV.R'
'PipeOpMissingIndicators.R' 'PipeOpModelMatrix.R'
'PipeOpMutate.R' 'PipeOpNOP.R' 'PipeOpPCA.R'
'PipeOpQuantileBin.R' 'PipeOpRegrAvg.R'
'PipeOpRemoveConstants.R' 'PipeOpScale.R' 'PipeOpScaleMaxAbs.R'
'PipeOpScaleRange.R' 'PipeOpSelect.R' 'PipeOpSmote.R'
'PipeOpSpatialSign.R' 'PipeOpSubsample.R' 'PipeOpUnbranch.R'
'PipeOpYeoJohnson.R' 'Selector.R' 'assert_graph.R'
'greplicate.R' 'gunion.R' 'operators.R' 'po.R' 'reexports.R'
'typecheck.R' 'zzz.R'
Martin Binder [aut, cre],
Florian Pfisterer [aut] (<https://orcid.org/0000-0001-8867-762X>),
Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>),
Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>),
Susanne Dandl [aut]