code: def test_predict_proba_classifier():
      """Test predict_proba method of Classifier class."""
      df_train = pd.read_csv("data_for_tests/clean_train.csv")
      y_train = pd.read_csv(
          "data_for_tests/clean_target.csv", squeeze=True
      )
      classifier = Classifier()
      with pytest.raises(ValueError):
          classifier.predict_proba(df_train)
      classifier.fit(df_train, y_train)
      with pytest.raises(ValueError):
          classifier.predict_proba(None)
      assert len(classifier.predict_proba(df_train)) > 0
  
file_path: MLBox/tests/test_classifier.py
imports: import pytest
  import pandas
  import numpy
  from mlbox.model.classification.classifier import Classifier
  from lightgbm import LGBMClassifier
label_desc: Use image node_id 9 for calling a global function with example usage: test_predict_proba_classifier() without return types