code: def test_predict_topk(self):
      k = self.model.num_classes
  
      y1 = self.model.predict_topk(self.dtest, k=k, output_type="rank")
      self.assertEqual(y1["class"].dtype, self.type)
      self.assertEqual(y1["id"].dtype, int)
      self.assertEqual(y1.num_rows(), self.dtest.num_rows() * k)
  
      y1 = self.model.predict_topk(
          self.dtest, k=k, output_type="margin"
      )
      self.assertEqual(y1["id"].dtype, int)
      self.assertEqual(y1.num_rows(), self.dtest.num_rows() * k)
  
      y1 = self.model.predict_topk(
          self.dtest, k=k, output_type="probability"
      )
      self.assertEqual(y1["id"].dtype, int)
      self.assertEqual(y1.num_rows(), self.dtest.num_rows() * k)
  
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 sys
  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 7 for calling the RandomForestClassifierTest obj's underlying member method code with example usage: obj.test_predict_topk() without return types