original_docstring: get input and labels for trainning from iterator
  
          Args:
              batch data: input batch data from iterator
  
          Returns:
              list: input feature fed into model (clicked_title_batch & candidate_title_batch)
              numpy.ndarray: labels
          
docstring: get input and labels for trainning from iterator
docstring_tokens: get input and labels for trainning from iterator
code: def _get_input_label_from_iter(self, batch_data):
          """get input and labels for trainning from iterator
  
          Args:
              batch data: input batch data from iterator
  
          Returns:
              list: input feature fed into model (clicked_title_batch & candidate_title_batch)
              numpy.ndarray: labels
          """
          input_feat = [
              batch_data["clicked_title_batch"],
              batch_data["candidate_title_batch"],
          ]
          input_label = batch_data["labels"]
          return input_feat, input_label
code_tokens: def _get_input_label_from_iter ( self , batch_data ) : input_feat = [ batch_data [ "clicked_title_batch" ] , batch_data [ "candidate_title_batch" ] , ] input_label = batch_data [ "labels" ] return input_feat , input_label
short_docstring: get input and labels for trainning from iterator
short_docstring_tokens: get input and labels for trainning from iterator
comment: """get input and labels for trainning from iterator
  
          Args:
              batch data: input batch data from iterator
  
          Returns:
              list: input feature fed into model (clicked_title_batch & candidate_title_batch)
              numpy.ndarray: labels
          """