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https://github.com/dataiku/dss-plugin-model-fairness-report

Getting insight about the fairness of a model regarding a sensitive attribute
https://github.com/dataiku/dss-plugin-model-fairness-report

dataiku dss-plugin fairness machinelearning

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Getting insight about the fairness of a model regarding a sensitive attribute

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# Model fairness report

Evaluating the fairness of machine learning models has been a topic of both academic and business interest in recent years. However, before prescribing any resolution to the problem of model bias, it is crucial to learn more about how biased a model is, by measuring some fairness metrics. This plugin is intended to help you with this measurement task.

## Scope of the plugin
This plugin offers DSS component to monitor the fairness of a model regarding a sensitive column:
* Model view: visualise different fairness metrics.

## Installation and requirements

Please see our [official plugin page](https://www.dataiku.com/product/plugins/model-fairness-report/) for installation.

## Changelog
**Version 1.0.8 (2022-08)**
* Add new flags to webapp.json (backend types + prediction types)
* Cleanup code

**Version 1.0.7 (2022-03)**
* Add support for LightGBM

**Version 1.0.0 (2020-12)**

* Initial release
* Model view component

You can log feature requests or issues on our [dedicated Github repository](https://github.com/dataiku/dss-plugin-model-fairness-report/issues).

# License
This plugin is:

Copyright (c) 2021 Dataiku SAS Licensed under the Apache License version 2.0.