code: def test_predict(self):
      y1 = self.model.predict(self.dtest)
      self.assertTrue(len(y1) == len(self.dtest))
      print(self.model.evaluate(self.dtest))
      print(
          "check the result of evaluate and print history, they should match"
      )
  
      y2 = self.model.predict(
          self.dtest[
              [c for c in self.dtest.column_names() if c != "label"]
          ]
      )
      self.assertTrue(all((y1 - y2) * (y1 - y2) < 1e-10))
  
      # Test calling predict with a dictionary.
      results = self.model.predict(self.dtest[0])
      self.assertTrue(len(results) == 1)
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import unittest
  import turicreate
  import uuid
  import random
  import copy
  from turicreate.toolkits._main import ToolkitError
  import turicreate.toolkits.evaluation
  import shutil
  from array import array
  import os
label_desc: Use image node_id 8 for calling the BoostedTreesRegressionTest obj's underlying member method code with example usage: obj.test_predict() without return types