code: def test_not_predict_proba(create_X_y):
      X, y = create_X_y
  
      clf1 = Perceptron()
      clf1.fit(X, y)
      with pytest.raises(ValueError):
          BaseProbabilistic([clf1, clf1]).fit(X, y)
  
imports: import numpy
  import pytest
  from sklearn.linear_model import Perceptron
  from sklearn.utils.estimator_checks import check_estimator
  from deslib.des.probabilistic import BaseProbabilistic, Logarithmic, Exponential, RRC, DESKL, MinimumDifference
label_desc: Use image node_id 6 for calling a global function with example usage: test_not_predict_proba(create_X_y) without return types