code: def _get_sklearn_predict(X, y, max_depth, DecisionTreeClassifier):
      clf = DecisionTreeClassifier(max_depth=max_depth, random_state=0)
      clf.fit(X, y)
      return clf.predict
  
imports: from ivy.functional.frontends.sklearn.tree import DecisionTreeClassifier
  import ivy
  from hypothesis import given
  import ivy_tests.test_ivy.helpers
label_desc: Use image node_id 1 for calling a global function with example usage: _get_sklearn_predict(X, y, max_depth, DecisionTreeClassifier) and returns: clf