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_column
label_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.

Project details

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This version

1.0.2

Aug 8, 2023

1.0.1

Aug 4, 2023

1.0.0

Aug 3, 2023

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Source Distribution

symphony_fairvis-1.0.2.tar.gz (6.0 MB view hashes)

Uploaded Aug 8, 2023 Source

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symphony_fairvis-1.0.2-py2.py3-none-any.whl (10.9 MB view hashes)

Uploaded Aug 8, 2023 Python 2 Python 3

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