class_docstr: Silhouette Visualizer Tests
class_docstr_tok: ["Silhouette","Visualizer","Tests"]
docstr: Assert that clustering estimators that don't implement
  a predict() method utilize fit_predict()
docstr_tok: ["Assert","that","clustering","estimators","that","do","n't","implement","a","predict","(",")","method","utilize","fit_predict","(",")"]
code: def test_clusterer_without_predict(self, model):
      """
      Assert that clustering estimators that don't implement
      a predict() method utilize fit_predict()
      """
      X = np.array([[1, 2], [1, 4], [1, 0], [4, 2], [4, 4], [4, 0]])
      try:
          visualizer = SilhouetteVisualizer(model(n_clusters=2))
          visualizer.fit(X)
          visualizer.finalize()
      except AttributeError:
          self.fail("could not use fit or fit_predict methods")
  
imports: import sys
  import pytest
  import matplotlib.pyplot
  import numpy
  from sklearn.datasets import make_blobs
  from sklearn.cluster import KMeans, MiniBatchKMeans
  from sklearn.cluster import SpectralClustering, AgglomerativeClustering
  from unittest import mock
  from tests.base import VisualTestCase
  from yellowbrick.cluster.silhouette import SilhouetteVisualizer, silhouette_visualizer
label_desc: Use image node_id 9 for calling the TestSilhouetteVisualizer obj's underlying member method code with example usage: obj.test_clusterer_without_predict(model) without return types