Tag: Explainability

Explaining black-box models using attribute importance, PDPs, and LIME

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner...

Trending Toward Concept Building – A Review of Model Interpretability for Deep Neural Networks

We are at an interesting time in our industry when it comes to validating models - a crossroads of sorts when you think about it. There...