class_docstr: Test FeatureImportances visualizer
docstr: Integration test of quick method
docstr_tok: ["Integration","test","of","quick","method"]
code: def test_integration_quick_method(self):
      """
      Integration test of quick method
      """
  
      # Load the test dataset
      X, y = load_occupancy(return_dataset=True).to_numpy()
  
      fig = plt.figure()
      ax = fig.add_subplot()
  
      clf = RandomForestClassifier(random_state=42)
      g = feature_importances(clf, X, y, ax=ax, show=False)
  
      # Appveyor and Linux conda non-text-based differences
      self.assert_images_similar(g, tol=15.0)
  
imports: import pytest
  import numpy
  import numpy.testing
  import matplotlib.pyplot
  from yellowbrick.exceptions import NotFitted
  from yellowbrick.model_selection.importances import *
  from yellowbrick.datasets import load_occupancy, load_concrete
  from sklearn.datasets import load_iris
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.ensemble import GradientBoostingClassifier
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.linear_model import LogisticRegression, Lasso
  from sklearn.impute import SimpleImputer
  from sklearn.pipeline import Pipeline
  from unittest import mock
  from tests.base import VisualTestCase
label_desc: Use image node_id 3 for calling the TestFeatureImportancesVisualizer obj's underlying member method code with example usage: obj.test_integration_quick_method() without return types