Package: mlr3summary 0.1.0
Susanne Dandl
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.
Authors:
mlr3summary_0.1.0.tar.gz
mlr3summary_0.1.0.tar.gz(r-4.5-noble)mlr3summary_0.1.0.tar.gz(r-4.4-noble)
mlr3summary_0.1.0.tgz(r-4.4-emscripten)mlr3summary_0.1.0.tgz(r-4.3-emscripten)
mlr3summary.pdf |mlr3summary.html✨
mlr3summary/json (API)
| # Install 'mlr3summary' in R: |
| install.packages('mlr3summary', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- credit - German Credit Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:2c8e695870. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 21 2024 |
| R-4.5-linux | OK | Nov 21 2024 |
Exports:summary_control
Dependencies:backportscheckmateclicodetoolsdata.tabledigestevaluatefuturefuture.applyglobalslgrlistenvmlbenchmlr3mlr3measuresmlr3miscpalmerpenguinsparadoxparallellyPRROCR6uuid
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| mlr3summary: Model and Learner Summaries for 'mlr3' | mlr3summary-package mlr3summary |
| German Credit Dataset (Preprocessed) | credit |
| Control for Learner summaries | summary_control |
| Summarizing mlr3 Learners | print.summary.Learner summary.GraphLearner summary.Learner |