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Dealing with multiple output regression keras model #174

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MichaelPeibo opened this issue Mar 5, 2020 · 0 comments
Open

Dealing with multiple output regression keras model #174

MichaelPeibo opened this issue Mar 5, 2020 · 0 comments

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@MichaelPeibo
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MichaelPeibo commented Mar 5, 2020

Hi,
I am trying to make simple explaination between my input variables and 5 output variables.
It seems lime has not a function dealing with it.

From this issue, @ scworland has proposed a strategy by tweaking explain functions, but I cannot get through with it due to glmnet step

Error in if (nulldev == 0) stop("y is constant; gaussian glmnet fails at standardization step") :
missing value where TRUE/FALSE needed

I wonder if I can bulid 5 regression models, then explain them one by one? Does it sound reasonable?

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