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mlr3summary
View on CRAN: Click
here
Download and install mlr3summary package within the R console
Install from CRAN:
install.packages("mlr3summary")
Install from Github:
library("remotes")
install_github("cran/mlr3summary")
Install by package version:
library("remotes")
install_version("mlr3summary", "0.1.0")
Attach the package and use:
library("mlr3summary")
Maintained by
Susanne Dandl
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.mlr3summary . mlr3summary results . mlr3summary.pdf . mlr3summary_0.1.0.tar.gz . mlr3summary_0.1.0.zip . mlr3summary_0.1.0.zip . mlr3summary_0.1.0.zip . mlr3summary_0.1.0.tgz . mlr3summary_0.1.0.tgz . mlr3summary_0.1.0.tgz . mlr3summary_0.1.0.tgz . mlr3summary_0.1.0.tgz . mlr3summary_0.1.0.tgz . https://CRAN.R-project.org/package=mlr3summary .
First Published: 2024-04-24
Latest Update: 2024-04-24
Description:
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.
How to cite:
Susanne Dandl (2024). mlr3summary: Model and Learner Summaries for 'mlr3'. R package version 0.1.0, https://cran.r-project.org/web/packages/mlr3summary. Accessed 21 Feb. 2025.
Previous versions and publish date:
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