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 28 Jan. 2025.
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

fabMix  
Overfitting Bayesian Mixtures of Factor Analyzers with Parsimonious Covariance and Unknown Number of Components
Model-based clustering of multivariate continuous data using Bayesian mixtures of factor analyzers ( ...
Download / Learn more Package Citations See dependency  
MetaIntegration  
Ensemble Meta-Prediction Framework
An ensemble meta-prediction framework to integrate multiple regression models into a current study. ...
Download / Learn more Package Citations See dependency  
eiopaR  
Access to RFR (Risk-Free Rate) Curves Produced by the EIOPA
Provides EIOPA (European Insurance And Occupational Pensions Authority) risk-free rates. Please note ...
Download / Learn more Package Citations See dependency  
waiter  
Loading Screen for 'Shiny'
Full screen and partial loading screens for 'Shiny' with spinners, progress bars, and notifications. ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
easyPubMed  
Search and Retrieve Scientific Publication Records from PubMed
Query NCBI Entrez and retrieve PubMed records in XML or text format. Process PubMed records by extra ...
Download / Learn more Package Citations See dependency  

23,580

R Packages

204,057

Dependencies

63,980

Author Associations

23,581

Publication Badges

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