A Symphony component to investigate fairness scores of subgroups
Project description
SymphonyFairVis
A component that can compare subgroups of data across different metrics, originally introduced to address machine learning fairness problems.
The component is based on the ClassificationSpec, but requires as additional arguments:
prediction_columnlabel_column
Installation
pip install symphony_fairvis
Usage
To learn how to use Symphony, see the documentation.
Development
To learn about how to build Symphony from source and how to contribute to the framework, please look at CONTRIBUTING.md and the development documentation.
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