pymc.model.core.FrozenModel.compile_d2logp

FrozenModel.compile_d2logp(vars=None, jacobian=True, negate_output=True, **compile_kwargs)

Compiled log probability density hessian function.

The function expects as input a dictionary with the same structure as self.initial_point()

Parameters:

varslist 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.

jacobianbool

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