class_docstr: Test the PrecisionRecallCurve visualizer
class_docstr_tok: ["Test","the","PrecisionRecallCurve","visualizer"]
docstr: Test get y scores with classifiers that have no scoring method
docstr_tok: ["Test","get","y","scores","with","classifiers","that","have","no","scoring","method"]
code: def test_no_scoring_function(self):
      """
      Test get y scores with classifiers that have no scoring method
      """
      oz = PrecisionRecallCurve(FakeClassifier())
      with pytest.raises(
          ModelError,
          match="requires .* predict_proba or decision_function",
      ):
          oz._get_y_scores(self.binary.X.train)
  
imports: import sys
  import pytest
  import matplotlib
  from yellowbrick.exceptions import *
  from yellowbrick.classifier.prcurve import *
  from yellowbrick.datasets import load_occupancy
  from tests.base import IS_WINDOWS_OR_CONDA, VisualTestCase
  from .test_rocauc import FakeClassifier
  from sklearn.svm import LinearSVC, SVC
  from sklearn.naive_bayes import GaussianNB
  from sklearn.datasets import make_regression
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.linear_model import RidgeClassifier
  from sklearn.model_selection import train_test_split
  from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier
  from sklearn.pipeline import Pipeline
  from sklearn.preprocessing import MinMaxScaler
label_desc: Use image node_id 11 for calling the TestPrecisionRecallCurve obj's underlying member method code with example usage: obj.test_no_scoring_function() without return types