mlr3summary: Model and Learner Summaries for 'mlr3'

Concise and interpretable summaries for machine learning models and learners of the 'mlr3' ecosystem. The package takes inspiration from the summary function for (generalized) linear models but extends it to non-parametric machine learning models, based on generalization performance, model complexity, feature importances and effects, and fairness metrics.

Version:	0.1.2
Depends:	R (≥ 3.5.0)
Imports:	backports, checkmate (≥ 2.0.0), cli, data.table, future.apply (≥ 1.5.0), mlr3 (≥ 0.12.0), mlr3misc
Suggests:	fastshap, iml, mlr3fairness, mlr3learners, mlr3pipelines, mlr3tuning, future, ranger, rpart, testthat (≥ 3.1.0)
Published:	2026-02-18
DOI:	10.32614/CRAN.package.mlr3summary
Author:	Susanne Dandl [aut, cre], Marc Becker [aut], Bernd Bischl [aut], Giuseppe Casalicchio [aut], Ludwig Bothmann [aut]
Maintainer:	Susanne Dandl <dandls.datascience at gmail.com>
BugReports:	https://github.com/mlr-org/mlr3summary/issues
License:	LGPL-3
URL:	https://github.com/mlr-org/mlr3summary
NeedsCompilation:	no
Language:	en-US
Citation:	mlr3summary citation info
Materials:	NEWS
CRAN checks:	mlr3summary results

Documentation:

Reference manual:

mlr3summary.html , mlr3summary.pdf

Downloads:

Package source:	mlr3summary_0.1.2.tar.gz
Windows binaries:	r-devel: mlr3summary_0.1.2.zip, r-release: mlr3summary_0.1.2.zip, r-oldrel: mlr3summary_0.1.2.zip
macOS binaries:	r-release (arm64): mlr3summary_0.1.2.tgz, r-oldrel (arm64): mlr3summary_0.1.2.tgz, r-release (x86_64): mlr3summary_0.1.2.tgz, r-oldrel (x86_64): mlr3summary_0.1.2.tgz
Old sources:	mlr3summary archive

Reverse dependencies:

Reverse suggests:

mlr3verse

Linking:

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