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.