InstrumentalVariableRegression.dlogp#

InstrumentalVariableRegression.dlogp(vars=None, jacobian=True)#

Gradient of the models log-probability w.r.t. vars.

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.

Return type:

dlogp graph