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.
Version: | 0.7.1 |
Depends: | R (≥ 3.1.0) |
Imports: | backports, checkmate, data.table, digest, lgr, mlr3 (≥ 0.20.0), mlr3misc (≥ 0.9.0), paradox, R6, withr |
Suggests: | ggplot2, glmnet, igraph, knitr, lme4, mlbench, bbotk (≥ 0.3.0), mlr3filters (≥ 0.1.1), mlr3learners, mlr3measures, nloptr, quanteda, rmarkdown, rpart, stopwords, testthat, visNetwork, bestNormalize, fastICA, kernlab, smotefamily, evaluate, NMF, MASS, kknn, GenSA, methods, vtreat, future, htmlwidgets, ranger, themis |
Published: | 2024-11-14 |
DOI: | 10.32614/CRAN.package.mlr3pipelines |
Author: | Martin Binder [aut, cre],
Florian Pfisterer |
Maintainer: | Martin Binder <mlr.developer at mb706.com> |
BugReports: | https://github.com/mlr-org/mlr3pipelines/issues |
License: | LGPL-3 |
URL: | https://mlr3pipelines.mlr-org.com, https://github.com/mlr-org/mlr3pipelines |
NeedsCompilation: | no |
Citation: | mlr3pipelines citation info |
Materials: | README NEWS |
CRAN checks: | mlr3pipelines results [issues need fixing before 2025-03-07] |
Reference manual: | mlr3pipelines.pdf |
Vignettes: |
Adding new PipeOps (source, R code) |
Package source: | mlr3pipelines_0.7.1.tar.gz |
Windows binaries: | r-devel: mlr3pipelines_0.7.1.zip, r-release: mlr3pipelines_0.7.1.zip, r-oldrel: mlr3pipelines_0.7.1.zip |
macOS binaries: | r-devel (arm64): mlr3pipelines_0.7.1.tgz, r-release (arm64): mlr3pipelines_0.7.1.tgz, r-oldrel (arm64): mlr3pipelines_0.7.1.tgz, r-devel (x86_64): mlr3pipelines_0.7.1.tgz, r-release (x86_64): mlr3pipelines_0.7.1.tgz, r-oldrel (x86_64): mlr3pipelines_0.7.1.tgz |
Old sources: | mlr3pipelines archive |
Reverse depends: | mlr3fda, mlr3torch |
Reverse imports: | mcboost, mlr3fairness, mlr3shiny, mlr3verse, sense, spFSR |
Reverse suggests: | counterfactuals, DoubleML, mlr3filters, mlr3fselect, mlr3hyperband, mlr3mbo, mlr3spatiotempcv, mlr3summary, mlr3tuning, mlr3tuningspaces, mlrintermbo |
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