r-mlr
Machine learning in R
This package provides an interface to a large number of classification and regression techniques. These techniques include machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning. Also included:
Generic resampling, including cross-validation, bootstrapping and subsampling;
Hyperparameter tuning with modern optimization techniques, for single- and multi-objective problems;
Filter and wrapper methods for feature selection;
Extension of basic learners with additional operations common in machine learning, also allowing for easy nested resampling.
Most operations can be parallelized.
- Versions: 2.19.2
- Website: https://mlr.mlr-org.com
- Licenses: FreeBSD
- Package source: gnu/packages/cran.scm
- Builds: See build status
- Issues: See known issues
Installation
Install the latest version of r-mlr as follows:
guix install r-mlr
Or install a particular version:
guix install r-mlr@2.19.2
You can also install packages in augmented, pure or containerized environments for development or simply to try them out without polluting your user profile. See the guix shell documentation for more information.
Badge code
You can use the following badge to inform users of r-mlr about the latest version available in Guix.
Example HTML:
<a href='https://packages.guix.gnu.org/packages/r-mlr'><img src='https://packages.guix.gnu.org/packages/r-mlr/badges/latest-version.svg' alt='Version in GNU Guix'></a>
Example Markdown:
[](https://packages.guix.gnu.org/packages/r-mlr)
Example Org:
[[https://packages.guix.gnu.org/packages/r-mlr][https://packages.guix.gnu.org/packages/r-mlr/badges/latest-version.svg]]