Agreed with your answer. I mistook the given example query in the tutorial as something else rather than the feature distribution over time.
My next question is that what can be the other relevant queries that we can visualize (in grafana), which will help in monitoring the served model and the end-user. So, I wanted the queries for that, like can we have a query for K-L divergence from the available metrics (that prometheus scraped from clearml-serving-statistics), and if yes, then what is the exact query for the same. Also, what query to write to get baseline input data distribution (not the one given by user as payload in their endpoint request, but the original dataset over which the model was trained).