nredell/shapFlex: Stochastic Shapley Values with Causal Constraints in Machine Learning
The purpose of 'shapFlex' is to compute stochastic Shapley values which can be used to interpret and assess the fairness of any machine learning model while incorporating causal constraints into the trained model's feature space.
Getting started
Browse package contents
Package details |
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| Author | Nickalus Redell |
| Maintainer | Nickalus Redell <nickalusredell@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.3.0 |
| URL | https://github.com/nredell/shapFlex/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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