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fastshap
View on CRAN: Click
here
Download and install fastshap package within the R console
Install from CRAN:
install.packages("fastshap")
Install from Github:
library("remotes")
install_github("cran/fastshap")
Install by package version:
library("remotes")
install_version("fastshap", "0.1.1")
Attach the package and use:
library("fastshap")
Maintained by
Brandon Greenwell
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-22
Latest Update: 2024-02-22
Description:
Computes fast (relative to other implementations) approximate
Shapley values for any supervised learning model. Shapley values help to
explain the predictions from any black box model using ideas from game
theory; see Strumbel and Kononenko (2014)
for details.
How to cite:
Brandon Greenwell (2019). fastshap: Fast Approximate Shapley Values. R package version 0.1.1, https://cran.r-project.org/web/packages/fastshap. Accessed 31 Jan. 2025.
Previous versions and publish date:
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Other R packages that fastshap depends,
imports, suggests or enhances
Complete documentation for fastshap
Functions, R codes and Examples using
the fastshap R package
Some associated functions: bin . explain . fastshap-package . gen_friedman . titanic . titanic_mice .
Some associated R codes: RcppExports.R . data.R . explain.R . fastshap-package.R . gen_friedman.R . print.R . utils.R . Full fastshap package functions and examples
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