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LHBO / ShapleyValuesVAEAC

Computing Shapley values using VAEAC
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VAEAC for Abalone dataset #1

Closed aliamini-uq closed 8 months ago

aliamini-uq commented 8 months ago

Dear shapr,

First of all, congrats on your interesting paper: "Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features". In my opinion, the introduction of VAEAC approach seems promising.

However, to better understand the paper and benefit from reproducible results for end-users, I suggest publicizing the codes related to Abalone dataset, at least. In particular, I am a little bit confused about how to compare different approaches. For example, when I compare the performance of VAEAC with independence and empirical approaches, should I first change the dataset using on-hot encoding for the independence and empirical approaches? However, I should not change the dataset since VAEAC has an internal mechanism. Am I right?

In addition, other sections of this paper are very interesting, but need more elaboration such as the introduction of "EC3 = EPEv" and "Fig. 10". Thus, It would be great if you share the codes of this outstanding work.

Kind regards, A

LHBO commented 8 months ago

See answer at https://github.com/NorskRegnesentral/shapr/issues/385