CRAN/E | mlr3summary

mlr3summary

Model and Learner Summaries for 'mlr3'

Installation

About

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.

Key Metrics

Version 0.1.0
R ≥ 3.5.0
Published 2024-04-24 11 days ago
Needs compilation? no
License LGPL-3
CRAN checks mlr3summary results
Language en-US

Downloads

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Maintainer

Maintainer

Susanne Dandl

dandls.datascience@gmail.com

Authors

Susanne Dandl

aut / cre

Marc Becker

aut

Bernd Bischl

aut

Giuseppe Casalicchio

aut

Ludwig Bothmann

aut

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.5.0

Imports

backports
checkmate ≥ 2.0.0
data.table
mlr3 ≥ 0.12.0
mlr3misc
cli
future.apply ≥ 1.5.0

Suggests

testthat ≥ 3.1.0
iml
mlr3pipelines
mlr3fairness
mlr3learners
fastshap
ranger
rpart