CRAN/E | shapper

shapper

Wrapper of Python Library 'shap'

Installation

About

Provides SHAP explanations of machine learning models. In applied machine learning, there is a strong belief that we need to strike a balance between interpretability and accuracy. However, in field of the Interpretable Machine Learning, there are more and more new ideas for explaining black-box models. One of the best known method for local explanations is SHapley Additive exPlanations (SHAP) introduced by Lundberg, S., et al., (2016) The SHAP method is used to calculate influences of variables on the particular observation. This method is based on Shapley values, a technique used in game theory. The R package 'shapper' is a port of the Python library 'shap'.

github.com/ModelOriented/shapper
Bug report File report

Key Metrics

Version 0.1.3
Published 2020-08-28 1501 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks shapper results

Downloads

Yesterday 12 -20%
Last 7 days 116 -22%
Last 30 days 472 -9%
Last 90 days 1.542 -33%
Last 365 days 7.874 -10%

Maintainer

Maintainer

Szymon Maksymiuk

Authors

Szymon Maksymiuk

aut / cre

Alicja Gosiewska

aut

Przemyslaw Biecek

aut

Mateusz Staniak

ctb

Michal Burdukiewicz

ctb

Material

NEWS
Reference manual
Package source

Vignettes

How to use shapper for classification
How to use shapper for regression

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

shapper archive

Imports

reticulate
DALEX
ggplot2

Suggests

covr
knitr
randomForest
rpart
testthat
markdown
qpdf