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PIE (version 1.0.0)

A Partially Interpretable Model with Black-Box Refinement

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) .

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Version

Install

install.packages('PIE')

Monthly Downloads

151

Version

1.0.0

License

GPL-2

Maintainer

Jingyi Yang

Last Published

January 27th, 2025

Functions in PIE (1.0.0)

sparsity_count

sparsity_count
PIE_fit

PIE: Partially Interpretable Model
MAE

MAE: Mean Absolute Error
PIE

PIE: A Partially Interpretable Model with Black-box Refinement
data_process

data_process: process tabular data into the format for the PIE model.
RPE

RPE: Relative Prediction Error
predict.PIE

Make Predictions for PIE
winequality

Wine Quality Data