code: def predict(self, data):
      lst = []
      for row in data:
          pred = self.predict_one(row)
          lst.append(pred)
      return lst
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import turicreate
  import unittest
  import json
  import random
  import numpy
  import pytest
label_desc: Use image node_id 4 for calling the GBDTDecoder obj's underlying member method code with example usage: obj.predict(data) and returns: lst