PropensityScore.compile_logp#
- PropensityScore.compile_logp(vars=None, jacobian=True, sum=True, **compile_kwargs)#
Compiled log probability density 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 (bool) – Whether to include jacobian terms in logprob graph. Defaults to True.
sum (bool) – Whether to sum all logp terms or return elemwise logp for each variable. Defaults to True.
- Return type:
PointFunc