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:Susanne Dandl [aut, cre], Marc Becker [aut], Bernd Bischl [aut], Giuseppe Casalicchio [aut], Ludwig Bothmann [aut]

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'))

Peer review:

Datasets:
  • credit - German Credit Dataset

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 4 scripts 199 downloads 1 exports 22 dependencies

Last updated 8 months agofrom:2c8e695870. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 21 2024
R-4.5-linuxOKDec 21 2024

Exports:summary_control

Dependencies:backportscheckmateclicodetoolsdata.tabledigestevaluatefuturefuture.applyglobalslgrlistenvmlbenchmlr3mlr3measuresmlr3miscpalmerpenguinsparadoxparallellyPRROCR6uuid

Readme and manuals

Help Manual

Help pageTopics
mlr3summary: Model and Learner Summaries for 'mlr3'mlr3summary-package mlr3summary
German Credit Dataset (Preprocessed)credit
Control for Learner summariessummary_control
Summarizing mlr3 Learnersprint.summary.Learner summary.GraphLearner summary.Learner