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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.11.0 |
rolling linux/jammy R-4.5 | mlr3pipelines_0.11.0.tar.gz |
2.8 MiB |
0.11.0 |
rolling linux/noble R-4.5 | mlr3pipelines_0.11.0.tar.gz |
2.8 MiB |
0.11.0 |
rolling source/ R- | mlr3pipelines_0.11.0.tar.gz |
831.6 KiB |
0.11.0 |
latest linux/jammy R-4.5 | mlr3pipelines_0.11.0.tar.gz |
2.8 MiB |
0.11.0 |
latest linux/noble R-4.5 | mlr3pipelines_0.11.0.tar.gz |
2.8 MiB |
0.11.0 |
latest source/ R- | mlr3pipelines_0.11.0.tar.gz |
831.6 KiB |
0.11.0 |
2026-04-26 source/ R- | mlr3pipelines_0.11.0.tar.gz |
831.6 KiB |
0.11.0 |
2026-04-23 source/ R- | mlr3pipelines_0.11.0.tar.gz |
831.6 KiB |
0.11.0 |
2026-04-09 windows/windows R-4.5 | mlr3pipelines_0.11.0.zip |
2.8 MiB |
0.7.2 |
2025-04-20 source/ R- | mlr3pipelines_0.7.2.tar.gz |
772.4 KiB |