mlr3-package: mlr3: Machine Learning in R - Next Generation

In mllg/mlr3: Machine Learning in R - Next Generation

Description

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.

Author(s)

Maintainer: Michel Lang [e-mail] (0000-0001-9754-0393)

Authors:

• Bernd Bischl [e-mail] (0000-0001-6002-6980)

• Jakob Richter [e-mail] (0000-0003-4481-5554)

• Patrick Schratz [e-mail] (0000-0003-0748-6624)

• Martin Binder [e-mail]

Other contributors:

• Giuseppe Casalicchio [e-mail] (0000-0001-5324-5966) [contributor]

• Stefan Coors [e-mail] (0000-0002-7465-2146) [contributor]

• Quay Au [e-mail] (0000-0002-5252-8902) [contributor]

See Also

Useful links:

• https://mlr3.mlr-org.com

• https://github.com/mlr-org/mlr3

• Report bugs at https://github.com/mlr-org/mlr3/issues

mllg/mlr3 documentation built on Sept. 27, 2019, 9:38 a.m.