code: def _fit_decision_function(self, X, y):
      self.fit(X, y)
      return cross_val_predict(self, X, y, method="decision_function")
  
file_path: baikal/tests/helpers/sklearn_steps.py
imports: import sklearn.decomposition
  import sklearn.ensemble
  import sklearn.linear_model
  import sklearn.preprocessing
  from sklearn.model_selection import cross_val_predict
  from baikal import make_step
label_desc: Use image node_id 2 for calling a global function with example usage: _fit_decision_function(X, y) and returns: cross_val_predict