Composition of Relational Features with an Application to Explaining Black-Box Predictors

1 code implementation • 1 Jun 2022 • Ashwin Srinivasan, A Baskar, Tirtharaj Dash, Devanshu Shah

Using a notion of explanations based on the compositional structure of features in a CRM, we provide empirical evidence on synthetic data of the ability to identify appropriate explanations; and demonstrate the use of CRMs as 'explanation machines' for black-box models that do not provide explanations for their predictions.

Inductive logic programming