iML Package for Model Agnostic Interpretable Machine Learning

Posted on Fr 28 September 2018 in Data Science • Tagged with Machine Learning Interpretability • 1 min read

In this video the presenter goes over a new R package called 'iML.' This package has a lot of power when explaining global and local feature importance. These explanations are critical, especially in the health field and if your under GDPR regulations. Now, with the combination of Shapley, LIME, and …

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Interpretable Machine Learning Using LIME Framework

Posted on Fr 07 September 2018 in Data Science • Tagged with LIME, Machine Learning Interpretability • 2 min read

I found this talk to be fascinating. I've been a big fan of LIME but never really understood the details of how it works under the hood. I understood that it works on an observation by observation basis but I never knew that it permutates data, tests against the black …

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