Govind Jeevan

Any hints on how the explainability integration should work for the end-user? For eg. What-If tool could be used through Tensorboard @AutoViML

Hey @AutoViML So in terms of usability post-installation, how should deep_autviml expose these tools to the user? Should it be encapsulated by a function similar to fit, predict that is...

A sizable fraction of predict function from predict_model.py would be useful for the proposed .explain method. Everything till the actual model.predict call in that function seems relevant, does moving the...

If there aren't any potential disadvantages to doing so, I was thinking of interfacing the function with both SHAP and LIME and allowing the user to configure which explainer they...

@AutoViML thoughts?

The input format expectations of LIME and SHAP are different from that of the model constructed by deep_viml (dict based MapDataset). Trying to work around this. Passing the dict based...