class_docstr: Pre-predict contrib tests.
docstr: Test the prepredict estimator with a silhouette visualizer
docstr_tok: ["Test","the","prepredict","estimator","with","a","silhouette","visualizer"]
code: def test_prepredict_clusterer(self):
      """
      Test the prepredict estimator with a silhouette visualizer
      """
      X = self.blobs.X
      y_pred = MiniBatchKMeans(random_state=831).fit(X).predict(X)
  
      # Create prepredict estimator with prior predictions
      estimator = PrePredict(y_pred, CLUSTERER)
      assert estimator.fit(X) is estimator
      assert estimator.predict(X) is y_pred
      assert estimator.score(X) == pytest.approx(
          0.5477478541994333, rel=1e-2
      )
  
imports: import pytest
  from io import BytesIO
  from tests.fixtures import Dataset, Split
  from tests.base import IS_WINDOWS_OR_CONDA, VisualTestCase
  from sklearn.naive_bayes import GaussianNB
  from sklearn.cluster import MiniBatchKMeans
  from sklearn.linear_model import LinearRegression
  from sklearn.model_selection import train_test_split
  from sklearn.datasets import make_classification, make_regression, make_blobs
  from yellowbrick.contrib.prepredict import *
  from yellowbrick.regressor import PredictionError
  from yellowbrick.classifier import ClassificationReport
  import numpy
label_desc: Use image node_id 3 for calling the TestPrePrePredictEstimator obj's underlying member method code with example usage: obj.test_prepredict_clusterer() without return types