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.
- Download the latest Orange release from our website.
- Install the fairness add-on: head to
Options -> Add-ons...in the menu bar. From the list of add-ons, select Fairness and confirm. This will downlaod and install the add-on and its dependencies.
After the installation, the widget from this add-on is registered with Orange. To use it, run Orange. The new widget appears in the toolbox bar under the section Fairness.
For an introduction to Orange, see the following YouTube playlist:
- Intro to Data Science - introduces data analysis with Orange
Then, see the following for more on using widgets from the Fairness add-on:
- Fairness add-on documentation - documentation for Fairness widgets
- Orange blog series on Fairness
- Orange widget catalog - Orange widgets documentation
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 .
To run Orange from the terminal, use
orange-canvas
or
python -m Orange.canvas