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fastshap (version 0.0.7)

Fast Approximate Shapley Values

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.

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Install

install.packages('fastshap')

Monthly Downloads

2,747

Version

0.0.7

License

GPL (>= 2)

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Maintainer

Brandon Greenwell

Last Published

December 6th, 2021

Functions in fastshap (0.0.7)

gen_friedman

Friedman benchmark data
force_plot

Additive force plots
explain

Fast approximate Shapley values
bin

Bin a numeric vector
autoplot.explain

Plotting Shapley values
fastshap-package

fastshap: Fast Approximate Shapley Values
grid.arrange

Arrange multiple grobs on a page