code: def _create_heteroscedastic_networks(
      self,
  ) -> List[HeteroscedasticDummyNet]:
      return [
          HeteroscedasticDummyNet(weights, self._bias)
          for weights in self._kernel_weights
      ]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  from typing import Dict, List, Text, Tuple
  import numpy
  import tensorflow
  from tf_agents.bandits.multi_objective import multi_objective_scalarizer
  from tf_agents.bandits.networks import global_and_arm_feature_network
  from tf_agents.bandits.networks import heteroscedastic_q_network
  from tf_agents.bandits.policies import greedy_multi_objective_neural_policy
  from tf_agents.bandits.specs import utils
  from tf_agents.networks import network
  from tf_agents.policies import utils
  from tf_agents.specs import array_spec
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.typing import types
  from tf_agents.utils import test_utils
label_desc: Use image node_id 2 for calling the GreedyRewardPredictionPolicyTest obj's underlying member method code with example usage: obj._create_heteroscedastic_networks() and returns: unknown