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mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3'
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.
Getting started
Browse package contents
Package details |
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| Author | Martin Binder [aut, cre], Florian Pfisterer [aut] (<https://orcid.org/0000-0001-8867-762X>), Lennart Schneider [aut] (<https://orcid.org/0000-0003-4152-5308>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Sebastian Fischer [aut] (<https://orcid.org/0000-0002-9609-3197>), Susanne Dandl [aut], Keno Mersmann [ctb], Maximilian Mücke [ctb] (<https://orcid.org/0009-0000-9432-9795>) |
| Maintainer | Martin Binder <mlr.developer@mb706.com> |
| License | LGPL-3 |
| Version | 0.7.0 |
| URL | https://mlr3pipelines.mlr-org.com https://github.com/mlr-org/mlr3pipelines |
| Package repository | View on CRAN |
| Installation |
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