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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.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 mlr3summary_0.1.2.tar.gz 89.7 KiB
0.1.2 rolling linux/noble R-4.5 mlr3summary_0.1.2.tar.gz 89.6 KiB
0.1.2 rolling source/ R- mlr3summary_0.1.2.tar.gz 26.3 KiB
0.1.2 latest linux/jammy R-4.5 mlr3summary_0.1.2.tar.gz 89.7 KiB
0.1.2 latest linux/noble R-4.5 mlr3summary_0.1.2.tar.gz 89.6 KiB
0.1.2 latest source/ R- mlr3summary_0.1.2.tar.gz 26.3 KiB
0.1.2 2026-04-26 source/ R- mlr3summary_0.1.2.tar.gz 26.3 KiB
0.1.2 2026-04-23 source/ R- mlr3summary_0.1.2.tar.gz 26.3 KiB
0.1.2 2026-04-09 windows/windows R-4.5 mlr3summary_0.1.2.zip 93.2 KiB
0.1.0 2025-04-20 source/ R- mlr3summary_0.1.0.tar.gz 152.4 KiB

Dependencies (latest)

Imports

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