code: def __init__(
      self,
      estimator,
      ax=None,
      fig=None,
      is_fitted="auto",
      param1="foo",
      param2="bar",
      **kwargs,
  ):
      super().__init__(
          estimator, ax=ax, fig=fig, is_fitted=is_fitted, **kwargs
      )
      self.param1 = param1
      self.param2 = param2
  
imports: import pytest
  import matplotlib.pyplot
  from yellowbrick.base import *
  from yellowbrick.base import VisualizerGrid
  from yellowbrick.datasets import load_occupancy
  from yellowbrick.exceptions import YellowbrickWarning
  from yellowbrick.exceptions import YellowbrickValueError
  from unittest.mock import patch
  from unittest.mock import MagicMock
  from tests.rand import RandomVisualizer
  from tests.base import IS_WINDOWS_OR_CONDA, VisualTestCase
  from sklearn.svm import LinearSVC
  from sklearn.datasets import make_classification
label_desc: Use image node_id 1 to create a new MockModelVisualizer object from inherited base classes: ModelVisualizer with example: obj = MockModelVisualizer(estimator, ax, fig, is_fitted, param1, param2)