code: def fit_predict(self, X, y):
      self.fit(X, y)
      return cross_val_predict(self, X, y, method="predict_proba")
  
file_path: baikal/examples/stacked_classifiers_standard.py
imports: import sklearn.datasets
  import sklearn.ensemble
  import sklearn.linear_model
  from sklearn.metrics import f1_score
  from sklearn.model_selection import cross_val_predict, train_test_split
  from baikal import Input, Model, make_step
  from baikal.plot import plot_model
  from baikal.steps import ColumnStack, Lambda
label_desc: Use image node_id 1 for calling a global function with example usage: fit_predict(X, y) and returns: cross_val_predict