tensorflow/models · error · ValueError

Unsupported `label_type`. Given: %s, expected `int` or `floa

Error message

Unsupported `label_type`. Given: %s, expected `int` or `float`.

What it means

Error "Unsupported `label_type`. Given: %s, expected `int` or `float`." thrown in tensorflow/models.

Source

Thrown at official/nlp/finetuning/binary_helper.py:277

  Args:
    task: `Task` instance.
    model: `keras.Model` instance.
    input_file: Input test data file path.
    output_file: Output test data file path.
    predict_batch_size: Batch size for prediction.
    seq_length: Input sequence length.
    class_names: List of string class names.
    label_type: String denoting label type ('int', 'float'), defaults to 'int'.
    min_float_value: If set, predictions will be min-clipped to this value (only
      for regression when `label_type` is set to 'float'). Defaults to `None`
      (no clipping).
    max_float_value: If set, predictions will be max-clipped to this value (only
      for regression when `label_type` is set to 'float'). Defaults to `None`
      (no clipping).
  """
  if label_type not in ('int', 'float'):
    raise ValueError('Unsupported `label_type`. Given: %s, expected `int` or '
                     '`float`.' % label_type)

  data_config = sentence_prediction_dataloader.SentencePredictionDataConfig(
      input_path=input_file,
      global_batch_size=predict_batch_size,
      is_training=False,
      seq_length=seq_length,
      label_type=label_type,
      drop_remainder=False,
      include_example_id=True)
  predictions = sentence_prediction.predict(task, data_config, model)

  if label_type == 'float':
    min_float_value = (-sys.float_info.max
                       if min_float_value is None else min_float_value)
    max_float_value = (
        sys.float_info.max if max_float_value is None else max_float_value)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/finetuning/binary_helper.py:277 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/6fbd7e001f0d6c5c. Report an issue: GitHub.