Welcome to ContrXT’s documentation!
ContrXT is a Python library that provides global, model-agnostic, contrastive explainer for any text classifier.
ContrXT is about explaining how a classifier changed its predictions through time. Also, it can be used to explain the differences in the classification behaviours of two distinct classifiers at a time.
ContrXT takes as input the predictions of two distinct classifiers M1 and M2. Then, it traces the decision criteria of both classifiers by encoding the changes in the decision logic through Binary Decision Diagrams. Then (ii) it provides “global, model-agnostic, time-contrastive (T-contrast) “explanations in natural language, estimating why -and to what extent- the model has modified its behaviour over time.
Check out the Usage section for further information, including how to Installation the project.
Note
This project is under active development.