class_docstr: DiscriminationThreshold visualizer tests
class_docstr_tok: ["DiscriminationThreshold","visualizer","tests"]
docstr: Will accept classifiers with decision function
code: def test_accepts_decision_function(self):
      """
      Will accept classifiers with decision function
      """
      model = LinearSVC
      assert is_classifier(model)
      assert is_probabilistic(model)
      assert hasattr(model, "decision_function")
      assert not hasattr(model, "predict_proba")
  
      try:
          DiscriminationThreshold(model())
      except YellowbrickTypeError:
          pytest.fail("did not accept decision function model")
  
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 12 for calling the TestDiscriminationThreshold obj's underlying member method code with example usage: obj.test_accepts_decision_function() without return types