Predicting distribution as target Are there any ways to predict distributions as target?
For example we have user's profile and data from social network. And his followers age distribution:
0.3 < 18 y.o.
18 y.o. < 0.5 < 45 y.o.
0.2 > 45 y.o.

How can we predict such distribution for new users?
It's possible to predict as probabilities of each class and then do a softmax, but there definitely should be some modern and more complex approaches to such task.
Thanks!

This is functional-data-analysis:

Functional Data Analysis defines a framework where the fundamental units of analysis are functions.

Your functions are densities.
This thread should be useful: Why is Functional Data Analysis (FDA) not as popular?
