class_docstr: Base class for data converters for sequence classification data sets.
class_docstr_tok: ["Base","class","for","data","converters","for","sequence","classification","data","sets","."]
docstr: Gets a collection of `InputExample`s for prediction.
docstr_tok: ["Gets","a","collection","of","`","InputExample","`","s","for","prediction","."]
code: def get_test_examples(self, data_dir):
      """Gets a collection of `InputExample`s for prediction."""
      raise NotImplementedError()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import csv
  import os
  import mesh_tensorflow
  import mesh_tensorflow.bert.bert
  import mesh_tensorflow.bert.optimization
  import mesh_tensorflow.bert.tokenization
  from six.moves import range
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 3 for calling the DataProcessor obj's underlying member method code with example usage: obj.get_test_examples(data_dir) without return types