class_docstr: Actor-Critic Policy Gradient.
  
  See https://arxiv.org/pdf/1602.01783.pdf for a description of algorithm.
docstr: Evaluate log of pi(\cdot|state) or v(state).
docstr_tok: ["Evaluate","log","of","pi","(","\\cdot|state",")","or","v","(","state",")","."]
code: def _evaluate_model(self, model, state):
      r"""Evaluate log of pi(\cdot|state) or v(state)."""
      return np.squeeze(model.eval({model.arguments[0]: [state]}))
  
imports: import cntk
  import numpy
  import ast
  from .agent import AgentBaseClass
  from .shared.cntk_utils import negative_of_entropy_with_softmax
  from .shared.models import Models
  from .shared.policy_gradient_parameters import PolicyGradientParameters
label_desc: Use image node_id 11 for calling the ActorCritic obj's underlying member method code with example usage: obj._evaluate_model(model, state) and returns: np