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Orange3-Fairness

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Example Workflow

Orange3 Fairness is an add-on for the Orange3 data mining suite. It provides extensions for fairness-aware AI, which includes algorithms for detecting and mitigating different types of biases in the data and the predictions of machine learning models.

Easy installation

First, download the latest Orange release from our website. Then, to install the fairness add-on, head to Options -> Add-ons... in the menu bar.

For developers

If you would like to install from cloned git repository, run

pip install .

To register this add-on with Orange, but keep the code in the development directory (do not copy it to Python's site-packages directory), run

pip install -e .

Usage

After the installation, the widget from this add-on is registered with Orange. To run Orange from the terminal, use

orange-canvas

or

python -m Orange.canvas

The new widget appears in the toolbox bar under the section Fairness. Starting up for the first time may take a while.