Examples

Here you can find various examples of using FAT-Forensics.

Note

Please note that all of the examples using the fatf.utils.models.models.KNN model class may be slow as our implementation of the k-nearest neighbours algorithm is in pure Python, hence is rather slow.

Accountability Examples

Here you can find various examples of how to use FAT-Forensics to evaluate accountability – security, safety, robustness and privacy – of data sets, machine learning models and their predictions.

Fairness Examples

Here you can find various examples of how to use FAT-Forensics to evaluate and mitigate a range of fairness aspects of data sets, machine learning models and their predictions.