Suggests: RWeka, farff, foreign, qs, testthat

lgr, mlr3, mlr3misc (>= 0.7.0), R6, stringi
Suggests: RWeka, farff, foreign, qs, testthat (>= 3.0.0)

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

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

c(person("Michel", "Lang", , "michellang@gmail.com", role = "aut",
person("Sebastian", "Fischer", , "sebf.fischer@gmail.com", role = c("cre", "aut"),
Description: 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',
lgr, methods, mlr3 (>= 0.14.0), mlr3misc (>= 0.7.0), paradox,
Suggests: DBI, duckdb, mlr3db (>= 0.5.0), qs, RWeka, testthat (>=
Author: Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>),
Sebastian Fischer [cre, aut] (<https://orcid.org/0000-0002-9609-3197>)

Title: Preprocessing Operators and Pipelines for 'mlr3'
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.
Imports: backports, checkmate, data.table, digest, mlr3 (>= 0.1.3),
Suggests: ggplot2, glmnet, igraph, knitr, lgr, lme4, mlbench,
mlr3filters, mlr3learners, nloptr, rmarkdown, rpart, testthat,
visNetwork, bestNormalize, fastICA, kernlab, smotefamily
Collate: 'Graph.R' 'GraphLearner.R' 'mlr_pipeops.R' 'utils.R'
'greplicate.R' 'gunion.R' 'operators.R' 'po.R' 'reexports.R'

Imports: backports, checkmate, data.table, digest, mlr3 (>= 0.1.4),

mlr3filters (>= 0.1.1), mlr3learners, mlr3measures, nloptr,
rmarkdown, rpart, testthat, visNetwork, bestNormalize, fastICA,

Imports: backports, checkmate, data.table, digest, lgr, mlr3 (>=
Suggests: ggplot2, glmnet, igraph, knitr, lme4, mlbench, mlr3filters
(>= 0.1.1), mlr3learners, mlr3measures, nloptr, quanteda,
rmarkdown, rpart, stopwords, testthat, visNetwork,
bestNormalize, fastICA, kernlab, smotefamily, evaluate, kknn
Collate: 'Graph.R' 'GraphLearner.R' 'mlr_pipeops.R' 'multiplicity.R'