Past Recording
ShareStar
Deterministic Local Interpretable Model-Agnostic Explanations - Let's dig into the code
Thursday Jul 9 2020 16:00 GMT
Please to join the live chat.
Deterministic Local Interpretable Model-Agnostic Explanations - Let's dig into the code
Why This Is Interesting

Local Interpretable Model-Agnostic Explanations (LIME) is a popular technique used to increase the interpretability and explainability of black box Machine Learning (ML) algorithms. DLIME (Deterministic - LIME) is a novel method that improves on the stability of LIME. This will be a hands-on demo of the code to get a deep dive into the experiment and results.

Discussion Points

This is a Python code walkthrough. It will cover a lot of interesting techniques including Generating Local Model Agnostic Explanations (LIME) and Deterministic-LIME (DLIME) explanations, measuring the stability of explanation using the Jaccard similarity coefficient.

DLIME has been reported more stable explanations than those generated by LIME.

Takeaways

Demonstration of the coding techniques and run through the experiment.

Time of Recording: Thursday Jul 9 2020 16:00 GMT