I am trying to draw random samples from GaussianRandomWalk by doing something like:
with pm.Model() as model:
a = GaussianRandomWalk(‘a’, sd=0.024, shape=25000)
y = a.random()
Which throws the TypeError: ‘NoneType’ object is not callable
I can do this for continuous functions so I guess I am missing something but am unsure what.
Thanks for your insight,
The standard approach is to use the .dist method of a distribution outside of a model context.
This will produce 100 random walks each of length 8. Hope this helps.
I tried it, outside of a model context, but now I get:
AttributeError: ‘GaussianRandomWalk’ object has no attribute ‘random’
I appreciate any suggestions. Thanks again!
Try upgrading to the master branch of PyMC3 from GitHub.
I upgraded to v3.8 and it goes. Thanks again!