class_docstr: DiscriminationThreshold visualizer tests
class_docstr_tok: ["DiscriminationThreshold","visualizer","tests"]
docstr: Assert exception is raised when bad quantiles are passed in.
code: def test_bad_quantiles(self):
      """
      Assert exception is raised when bad quantiles are passed in.
      """
      msg = (
          "quantiles must be a sequence of three "
          "monotonically increasing values less than 1"
      )
  
      with pytest.raises(YellowbrickValueError, match=msg):
          DiscriminationThreshold(NuSVC(), quantiles=[0.25, 0.1, 0.75])
  
imports: import sys
  import pytest
  import yellowbrick
  import matplotlib.pyplot
  from yellowbrick.classifier.threshold import *
  from yellowbrick.datasets import load_occupancy, load_spam
  from yellowbrick.utils import is_probabilistic, is_classifier
  from unittest.mock import patch
  from tests.base import VisualTestCase
  from numpy.testing import assert_array_equal
  from sklearn.base import ClassifierMixin
  from sklearn.svm import LinearSVC, NuSVC
  from sklearn.impute import SimpleImputer
  from sklearn.pipeline import Pipeline
  from sklearn.datasets import make_classification
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.naive_bayes import BernoulliNB, GaussianNB
  from sklearn.linear_model import Ridge, LogisticRegression
  from sklearn.model_selection import StratifiedShuffleSplit
label_desc: Use image node_id 13 for calling the TestDiscriminationThreshold obj's underlying member method code with example usage: obj.test_bad_quantiles() without return types