# 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_column`
- `label_column`
## Installation
```bash
pip install symphony_fairvis
```
## Usage
To learn how to use Symphony, see the [documentation](https://apple.github.io/ml-symphony/).
## Development
To learn about how to build Symphony from source and how to contribute to the framework, please look at [CONTRIBUTING.md](../CONTRIBUTING.md) and the [development documentation](https://apple.github.io/ml-symphony/contributing.html).
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