code: def test_string_classes():
      clf = LogisticRegression(random_state=101)
      clf.fit(X, _convert_labels_into_string(y))
      probas = clf.predict_proba(X)
      ks_statistic(_convert_labels_into_string(y), probas)
  
file_path: sklearn-evaluation/tests/test_ks_statistic.py
imports: import numpy
  import pytest
  import matplotlib.pyplot
  from matplotlib.testing.decorators import image_comparison
  from sklearn.linear_model import LogisticRegression
  from sklearn.datasets import load_breast_cancer, load_iris
  from sklearn_evaluation.plot import ks_statistic
label_desc: Use image node_id 2 for calling a global function with example usage: test_string_classes() without return types