CRAN/E | ingredients

ingredients

Effects and Importances of Model Ingredients

Installation

About

Collection of tools for assessment of feature importance and feature effects. Key functions are: feature_importance() for assessment of global level feature importance, ceteris_paribus() for calculation of the what-if plots, partial_dependence() for partial dependence plots, conditional_dependence() for conditional dependence plots, accumulated_dependence() for accumulated local effects plots, aggregate_profiles() and cluster_profiles() for aggregation of ceteris paribus profiles, generic print() and plot() for better usability of selected explainers, generic plotD3() for interactive, D3 based explanations, and generic describe() for explanations in natural language. The package 'ingredients' is a part of the 'DrWhy.AI' universe (Biecek 2018) .

ModelOriented.github.io/ingredients/
github.com/ModelOriented/ingredients
Bug report File report

Key Metrics

Version 2.3.0
R ≥ 3.5
Published 2023-01-15 468 days ago
Needs compilation? no
License GPL-3
CRAN checks ingredients results

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Maintainer

Maintainer

Przemyslaw Biecek

przemyslaw.biecek@gmail.com

Authors

Przemyslaw Biecek

aut / cre

Hubert Baniecki

aut

Adam Izdebski

ctb

Material

NEWS
Reference manual
Package source

Vignettes

Explanations in natural language
Simulated data, real problem
General introduction: Survival on the RMS Titanic

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ingredients archive

Depends

R ≥ 3.5

Imports

ggplot2
scales
gridExtra
methods

Suggests

DALEX
gower
ranger
testthat
r2d3
jsonlite
knitr
rmarkdown
covr

Reverse Imports

arenar
corrgrapher
DALEX
drifter
localModel
modelStudio
rSAFE

Reverse Suggests

DALEXtra
survex
vivo