Model input shape vs score.py input shape about engineeringmlops HOT 3 OPEN

Hi rzvcs

I am facing the same issue. where you able to sort out?

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@CliveRobson , I don't recall the full set of things that I did. I do recall the issue is from the model being built for a data shape of (1,6) while the score files try to push data of shape (1,7). That is, data is 1 array of 6 or 7 elements, respectively.
I would suggest either to review how the model is defined or to change these lines and push data of shape (1,6).

• Schema for Model_Deployment score.py
• Array reshape for Model_Deployment score.py
• Schema for Model_Deployment score.py
• Array reshape for Model_Deployment score.py

I am not expecting these to be the correct changes for these learning docs, but it would be something to have in mind when going through the docs - the model input is not uniform across the files and it's not fully explained why. Hope this helps.

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@rzvcs Hi, Yes i noticed that in chapter 5 - (Model evaluation) we are passing the data shape as (1,6) but in the score.py it is (1,7).. and I am also facing an issue in inferencing the data after the ACI deployment, Anyway i am not able to find a clear explanation and I also tried pushing the data to (1,6) but that also didn't work ..I will try looking for some other resources.. Thanks

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