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] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Giuseppe Casalicchio [ctb] (<https://orcid.org/0000-0001-5324-5966>), Stefan Coors [ctb] (<https://orcid.org/0000-0002-7465-2146>), Quay Au [ctb] (<https://orcid.org/0000-0002-5252-8902>), Martin Binder [aut]
MaintainerMichel Lang <[email protected]>
LicenseLGPL-3
Version0.1.4
URL https://mlr3.mlr-org.com https://github.com/mlr-org/mlr3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mlr3")

Try the mlr3 package in your browser

Any scripts or data that you put into this service are public.

mlr3 documentation built on Oct. 30, 2019, 12:14 p.m.