Tutorial

This notebook shows how to use the library. It does not necessarily need to export code.

Once the previous notebooks are filled in, this page can show a complete example:

1. load binary-classification data with fastai,
2. add xAAEnet blocks to the user’s encoder,
3. predict binary labels or class probabilities,
4. compute feature scores,
5. correlate feature scores with binary-classification outputs and display the figures.