https://github.com/bgreenwell/fastshap

Fast approximate Shapley values in R
https://github.com/bgreenwell/fastshap

explainable-ai explainable-ml interpretable-machine-learning shapley shapley-values variable-importance xai

Last synced: 10 months ago
JSON representation

Fast approximate Shapley values in R

• Host: GitHub
• URL: https://github.com/bgreenwell/fastshap
• Owner: bgreenwell
• Created: 2019-07-17T14:20:31.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2024-02-22T21:48:53.000Z (almost 2 years ago)
• Last Synced: 2025-03-31T04:06:39.877Z (11 months ago)
• Topics: explainable-ai, explainable-ml, interpretable-machine-learning, shapley, shapley-values, variable-importance, xai
• Language: R
• Homepage: https://bgreenwell.github.io/fastshap/
• Size: 99.4 MB
• Stars: 119
• Watchers: 3
• Forks: 18
• Open Issues: 12
• Metadata Files:
  • Readme: README.Rmd

Awesome Lists containing this project

• AwesomeResponsibleAI - fastshap
• awesome-machine-learning-interpretability - fastshap -  | "The goal of fastshap is to provide an efficient and speedy approach (at least relative to other implementations) for computing approximate Shapley values, which help explain the predictions from any machine learning model." | (Technical Resources / Open Source/Access Responsible AI Software Packages)

README

          
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  fig.align = "center",

  out.width = "100%",

  message = FALSE,

  warning = FALSE

)

```

# fastshap 

[![CRAN status](https://www.r-pkg.org/badges/version/fastshap)](https://CRAN.R-project.org/package=fastshap)

[![R-CMD-check](https://github.com/bgreenwell/fastshap/workflows/R-CMD-check/badge.svg)](https://github.com/bgreenwell/fastshap/actions)

[![Codecov test coverage](https://codecov.io/gh/bgreenwell/fastshap/branch/master/graph/badge.svg)](https://codecov.io/gh/bgreenwell/fastshap?branch=master)

[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental)

[![R-CMD-check](https://github.com/bgreenwell/fastshap/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/bgreenwell/fastshap/actions/workflows/R-CMD-check.yaml)

The goal of **fastshap** is to provide an efficient and speedy approach (at least relative to other implementations) for computing approximate Shapley values, which help explain the predictions from any machine learning model. 

![](https://media.giphy.com/media/26AHLNr8en8J3ovOo/giphy.gif)

## Installation

``` r

# Install the latest stable version from CRAN:

install.packages("fastshap")

# Install the latest development version from GitHub:

if (!requireNamespace("remotes")) {

  install.packages("remotes")

}

remotes::install_github("bgreenwell/fastshap")

```