mlr3: Machine Learning in R - Next Generation

Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.

Package details

AuthorMichel Lang [cre, aut] (<>), Bernd Bischl [aut] (<>), Jakob Richter [aut] (<>), Patrick Schratz [aut] (<>), Giuseppe Casalicchio [ctb] (<>), Stefan Coors [ctb] (<>), Quay Au [ctb] (<>), Martin Binder [aut], Florian Pfisterer [aut] (<>), Raphael Sonabend [aut] (<>), Lennart Schneider [ctb] (<>), Marc Becker [aut] (<>), Sebastian Fischer [ctb] (<>)
MaintainerMichel Lang <>
Package repositoryView on CRAN
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mlr3 documentation built on July 9, 2023, 6:43 p.m.