Comments (2)
Hi @neomatrix369 ,
Our example/tutorial notebooks contain a special section for the explainability. If you have a look here https://github.com/dreamquark-ai/tabnet/blob/develop/census_example.ipynb , there is a section subtitled Local explainability and masks
where we try to explain, for each input data line and for each step in the architecture, what are the mask values as well as the final explain_matrix
.
Of course, if you have suggestions on how to better show these results or how to make them clearer we'd love to hear your feedback!
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Thank you for sharing the link, I will give it a whirl!
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