class_docstr: Test the PredictionError visualizer
class_docstr_tok: ["Test","the","PredictionError","visualizer"]
docstr: Image similarity test using the residuals plot quick method
docstr_tok: ["Image","similarity","test","using","the","residuals","plot","quick","method"]
code: def test_prediction_error_quick_method(self):
      """
      Image similarity test using the residuals plot quick method
      """
      _, ax = plt.subplots()
  
      model = Lasso(random_state=19)
      oz = prediction_error(
          model, self.data.X.train, self.data.y.train, ax=ax, show=False
      )
      assert isinstance(oz, PredictionError)
      self.assert_images_similar(oz)
  
imports: import pytest
  import matplotlib.pyplot
  import numpy
  from unittest import mock
  from tests.fixtures import Dataset, Split
  from tests.base import IS_WINDOWS_OR_CONDA, VisualTestCase
  from yellowbrick.datasets import load_energy, load_concrete
  from yellowbrick.regressor.prediction_error import PredictionError, prediction_error
  from sklearn.datasets import make_regression
  from sklearn.linear_model import Ridge, Lasso
  from sklearn.neural_network import MLPRegressor
  from sklearn.linear_model import LinearRegression
  from sklearn.model_selection import train_test_split
  from sklearn.pipeline import Pipeline
  from sklearn.impute import SimpleImputer
label_desc: Use image node_id 11 for calling the TestPredictionError obj's underlying member method code with example usage: obj.test_prediction_error_quick_method() without return types