code: def get_prediction(self, states, outputs=None):
      return self.networks["main"].online_network.predict(
          self.prepare_batch_for_inference(states, "main"),
          outputs=outputs,
      )
  
imports: from collections import OrderedDict
  from typing import Union, List
  import numpy
  from rl_coach.agents.agent import Agent
  from rl_coach.core_types import ActionInfo, StateType, Batch
  from rl_coach.filters.filter import NoInputFilter
  from rl_coach.logger import screen
  from rl_coach.memories.non_episodic.prioritized_experience_replay import PrioritizedExperienceReplay
  from rl_coach.spaces import DiscreteActionSpace
  from copy import deepcopy, copy
label_desc: Use image node_id 5 for calling the ValueOptimizationAgent obj's underlying member method code with example usage: obj.get_prediction(states, outputs) and returns: self