code: def test_predict(self):
      # Make predictions from SFrame.
      ysa = self.model.predict(self.dtest)
      self.assertEqual(len(self.dtest), len(ysa))
  
      # Make predictions from list.
      yl = self.model.predict(list(self.dtest))
      self.assertEqual(len(yl), len(ysa))
      self.assertEqual(list(yl), list(ysa))
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import unittest
  import turicreate
  import math
  import uuid
  import random
  import copy
  from turicreate.toolkits import evaluation
  from turicreate.toolkits._main import ToolkitError
  import shutil
  import numpy
  from array import array
  import os
label_desc: Use image node_id 8 for calling the DecisionTreeRegressionTest obj's underlying member method code with example usage: obj.test_predict() without return types