Other packages > Find by keyword >

shapper  

Wrapper of Python Library 'shap'
View on CRAN: Click here


Download and install shapper package within the R console
Install from CRAN:
install.packages("shapper")

Install from Github:
library("remotes")
install_github("cran/shapper")

Install by package version:
library("remotes")
install_version("shapper", "0.1.3")



Attach the package and use:
library("shapper")
Maintained by
Szymon Maksymiuk
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-02
Latest Update: 2020-08-28
Description:
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'.
How to cite:
Szymon Maksymiuk (2019). shapper: Wrapper of Python Library 'shap'. R package version 0.1.3, https://cran.r-project.org/web/packages/shapper. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.1.0 (2019-03-02 17:20), 0.1.1 (2019-07-10 13:50), 0.1.2 (2019-08-02 12:30)
Other packages that cited shapper R package
View shapper citation profile
Other R packages that shapper depends, imports, suggests or enhances
Complete documentation for shapper
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

bacondecomp  
Goodman-Bacon Decomposition
Decomposition for differences-in-differences with variation in treatment timing from Goodman-Bacon ...
Download / Learn more Package Citations See dependency  
robregcc  
Robust Regression with Compositional Covariates
We implement the algorithm estimating the parameters of the robust regression model with composition ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
con2aqi  
Calculate the AQI from Pollutant Concentration
To calculate the AQI (Air Quality Index) from pollutant concentration data. O3, PM2.5, PM10, CO, SO ...
Download / Learn more Package Citations See dependency  

23,092

R Packages

198,677

Dependencies

62,675

Author Associations

23,089

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA