(examples, label_list, max_seq_length,
                                 tokenizer)
return features
Convert a set of `InputExample`s to a list of `InputFeatures`.
Convert a set of `InputExample`s to a list of `InputFeatures`.
Convert a set of InputExample s to a list of InputFeatures .
def convert_examples_to_features(examples, label_list, max_seq_length,
                                 tokenizer):
  """Convert a set of `InputExample`s to a list of `InputFeatures`."""

  features = []
  for (ex_index, example) in enumerate(examples):
    if ex_index % 10000 == 0:
      tf.logging.info("Writing example %d of %d" % (ex_index, len(examples)))

    feature = convert_single_example(ex_index, example, label_list,
                                     max_seq_length, tokenizer)

    features.append(feature)
  return features
def convert_examples_to_features ( examples , label_list , max_seq_length , tokenizer ) : features = [ ] for ( ex_index , example ) in enumerate ( examples ) : if ex_index % 10000 == 0 : tf . logging . info ( "Writing example %d of %d" % ( ex_index , len ( examples ) ) ) feature = convert_single_example ( ex_index , example , label_list , max_seq_length , tokenizer ) features . append ( feature ) return features