new_contents: # -*- coding: utf-8 -*-
  
  from sklearn.tree import tree
  from sklearn.datasets import load_iris
  
  from sklearn_porter import Porter
  
  
  iris_data = load_iris()
  X, y = iris_data.data, iris_data.target
  clf = tree.DecisionTreeClassifier()
  clf.fit(X, y)
  
  # Cheese!
  
  porter = Porter(clf)
  
  # Single prediction:
  y = porter.predict(X[0])
  print(y)
  # 0
  
  # Multiples predictions:
  Y = porter.predict(X)
  print(Y)
  # [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
  #  0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
  #  1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2
  #  2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
  #  2 2]
  
subject: Add predict() example