
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.
Maintainer: Martin Binder [email protected]
Authors:
Florian Pfisterer [email protected] (ORCID)
Lennart Schneider [email protected] (ORCID)
Bernd Bischl [email protected] (ORCID)
Michel Lang [email protected] (ORCID)
Sebastian Fischer [email protected] (ORCID)
Susanne Dandl [email protected]
Other contributors:
Keno Mersmann [email protected] [contributor]
Maximilian Mücke [email protected] (ORCID) [contributor]
Useful links: