code: def yield_estimators(self):
      from skorch.cli import _yield_estimators
  
      return _yield_estimators
  
imports: from math import cos
  from unittest.mock import Mock
  from unittest.mock import patch
  import numpy
  import pytest
  from sklearn.pipeline import FeatureUnion
  from sklearn.pipeline import Pipeline
  from sklearn.preprocessing import MinMaxScaler
  from torch import nn
  from torch.nn import RReLU
label_desc: Use image node_id 9 for calling the TestCli obj's underlying member method code with example usage: obj.yield_estimators() and returns: _yield_estimators