I recognize this is a very basic question, but I haven’t been able to find a simple answer from the docs or other answers…but maybe someone could point me in the direction of one?
I am often passing arrays of random variables around between arguments, and would ideally build them in a compact way, as in draw = [a,b,c]. Presently, I am doing this:
import theano.tensor as tt
a = pm.Normal(‘a’, mu=0, sigma=1)
b = pm.Uniform(‘b’, lower=0, upper=1)
c = pm.Uniform(‘c’, lower=0, upper=10)
draw = tt.zeros((3))
draw = tt.set_subtensor(draw, a)
draw = tt.set_subtensor(draw, b)
draw = tt.set_subtensor(draw, c)
But this is cumbersome and verbose, is there a simpler way?