class_docstr: FeatureCorrelation visualizer
class_docstr_tok: ["FeatureCorrelation","visualizer"]
docstr: Test FeatureCorrelation visualizer with mutual information
  on wine dataset (classification)
docstr_tok: ["Test","FeatureCorrelation","visualizer","with","mutual","information","on","wine","dataset","(","classification",")"]
code: def test_feature_correlation_integrated_mutual_info_classification(
      self,
  ):
      """
      Test FeatureCorrelation visualizer with mutual information
      on wine dataset (classification)
      """
      data = datasets.load_wine()
      X, y = data["data"], data["target"]
  
      viz = FeatureCorrelation(method="mutual_info-classification")
      viz.fit(X, y, random_state=12345)
      viz.finalize()
  
      self.assert_images_similar(viz)
  
imports: import sys
  import pytest
  import numpy
  import numpy.testing
  from yellowbrick.target import FeatureCorrelation, feature_correlation
  from yellowbrick.exceptions import YellowbrickValueError, YellowbrickWarning
  from sklearn import datasets
  from tests.base import VisualTestCase
label_desc: Use image node_id 3 for calling the TestFeatureCorrelationVisualizer obj's underlying member method code with example usage: obj.test_feature_correlation_integrated_mutual_info_classification() without return types