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PIE
View on CRAN: Click
here
Download and install PIE package within the R console
Install from CRAN:
install.packages("PIE")
Install from Github:
library("remotes")
install_github("cran/PIE")
Install by package version:
library("remotes")
install_version("PIE", "1.0.0")
Attach the package and use:
library("PIE")
Maintained by
Jingyi Yang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.PIE . PIE citation info . PIE results . PIE.pdf . Introduction to PIE – A Partially Interpretable Model with Black-box Refinement . PIE_1.0.0.tar.gz . PIE_1.0.0.zip . PIE_1.0.0.zip . PIE_1.0.0.zip . PIE_1.0.0.tgz . PIE_1.0.0.tgz . PIE_1.0.0.tgz . PIE_1.0.0.tgz . PIE_1.0.0.tgz . PIE_1.0.0.tgz . https://CRAN.R-project.org/package=PIE .
First Published: 2025-01-27
Latest Update: 2025-01-27
Description:
Implements a novel predictive model, Partially Interpretable Estimators (PIE), which jointly trains an interpretable model and a black-box model to achieve high predictive performance as well as partial model. See the paper, Wang, Yang, Li, and Wang (2021) <doi:10.48550/arXiv.2105.02410>.
How to cite:
Jingyi Yang (2025). PIE: A Partially Interpretable Model with Black-Box Refinement. R package version 1.0.0, https://cran.r-project.org/web/packages/PIE. Accessed 07 Apr. 2025.
Previous versions and publish date:
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