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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.
Getting started
Browse package contents
Package details |
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| Author | Susanne Dandl [aut, cre] (<https://orcid.org/0000-0003-4324-4163>), Marc Becker [aut] (<https://orcid.org/0000-0002-8115-0400>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Giuseppe Casalicchio [aut] (<https://orcid.org/0000-0001-5324-5966>), Ludwig Bothmann [aut] (<https://orcid.org/0000-0002-1471-6582>) |
| Maintainer | Susanne Dandl <dandls.datascience@gmail.com> |
| License | LGPL-3 |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
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