Hi Team,
First of all, thank you very much for the fascinating work.
Let us go to my question:
you have explained various possibilities for probabilistic regression with TFP in the following link:
What I am missing badly, and made me puzzled, is how should I use LambdaDistribution and the slicing techniques (e.g., t[...,:1] and t[..., 1:], in Aleatoric modeling) you have used to model mean and standard deviations?
Similarly, how should I modify the code for Epistemic modeling?
My Best,
-S