pymc.model.core.Model.compile_dlogp

Model.compile_dlogp(vars=None, jacobian=True)

Compiled log probability density gradient function.

Parameters:

vars: list of random variables or potential terms, optional

Compute the gradient with respect to those variables. If None, use all free and observed random variables, as well as potential terms in model.

jacobian:

Whether to include jacobian terms in logprob graph. Defaults to True.