Nothing
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 |
|
|---|---|
| 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 [ctb] (<https://orcid.org/0000-0002-9609-3197>), Susanne Dandl [aut] |
| Maintainer | Martin Binder <mlr.developer@mb706.com> |
| License | LGPL-3 |
| Version | 0.5.0-1 |
| URL | https://mlr3pipelines.mlr-org.com https://github.com/mlr-org/mlr3pipelines |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the mlr3pipelines package in your browser
Any scripts or data that you put into this service are public.
