Package: mlr3summary
Title: Model and Learner Summaries for 'mlr3'
Version: 0.1.2
Authors@R: c(
    person("Susanne", "Dandl", , "dandls.datascience@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-4324-4163")),
    person("Marc", "Becker", , "marcbecker@posteo.de", role = "aut",
           comment = c(ORCID = "0000-0002-8115-0400")),
    person("Bernd", "Bischl", , "bernd_bischl@gmx.net", role = "aut",
           comment = c(ORCID = "0000-0001-6002-6980")),
    person("Giuseppe", "Casalicchio", , "giuseppe.casalicchio@stat.uni-muenchen.de", role = "aut",
           comment = c(ORCID = "0000-0001-5324-5966")),
    person("Ludwig", "Bothmann", , "ludwig.bothmann@stat.uni-muenchen.de", role = "aut",
           comment = c(ORCID = "0000-0002-1471-6582"))
  )
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.
License: LGPL-3
Depends: R (>= 3.5.0)
Imports: backports, checkmate (>= 2.0.0), cli, data.table, future.apply
        (>= 1.5.0), mlr3 (>= 0.12.0), mlr3misc
Suggests: fastshap, iml, mlr3fairness, mlr3learners, mlr3pipelines,
        mlr3tuning, future, ranger, rpart, testthat (>= 3.1.0)
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
RoxygenNote: 7.3.3
URL: https://github.com/mlr-org/mlr3summary
BugReports: https://github.com/mlr-org/mlr3summary/issues
Packaged: 2026-02-18 09:11:05 UTC; marc
Author: Susanne Dandl [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-4324-4163>),
  Marc Becker [aut] (ORCID: <https://orcid.org/0000-0002-8115-0400>),
  Bernd Bischl [aut] (ORCID: <https://orcid.org/0000-0001-6002-6980>),
  Giuseppe Casalicchio [aut] (ORCID:
    <https://orcid.org/0000-0001-5324-5966>),
  Ludwig Bothmann [aut] (ORCID: <https://orcid.org/0000-0002-1471-6582>)
Maintainer: Susanne Dandl <dandls.datascience@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-18 23:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 08:53:06 UTC; unix
