code: def test_classify(self):
      if self.model is None:
          return
  
      # Arrange
      sf = self.sf
      model = self.model
  
      # Act & Assert
      if not self.regression:
          # Act & Assert
          bp = model.classify(sf)
          lp = model.classify(list(sf))
          dp = model.classify(sf[0])
          sf_new = sf[0].copy()
          sf_new["new_column"] = 1
          dp_new = model.classify(sf_new)
  
          self.assertEqual(len(dp), 1)
          self.assertEqual(list(bp), list(lp))
          self.assertEqual(bp[0], dp[0])
          self.assertEqual(lp[0], dp[0])
          self.assertEqual(lp[0], dp_new[0])
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import unittest
  import turicreate
  import uuid
  from turicreate.toolkits import evaluation
  from turicreate.toolkits._main import ToolkitError
  import shutil
  import numpy
label_desc: Use image node_id 3 for calling the FastPathPredictionTest obj's underlying member method code with example usage: obj.test_classify() without return types