bc0c3b6035aea0b25b827e46d4a67a1e3bc9078e,tensorflow_transform/analyzers.py,,vocabulary,#Any#Any#Any#Any#Any#Any#Any#Any#,766

Before Change

      raise ValueError(
          "frequency_threshold must be non-negative, but got: %r" %
          frequency_threshold)
    elif frequency_threshold <= 1:
      tf.logging.warn(
          "frequency_threshold %d <= 1 is a no-op, use None instead.",
          frequency_threshold)

  if isinstance(x, tf.SparseTensor):
    x = x.values

After Change

       none_sum, none_counts) = tf_utils.reduce_batch_vocabulary(
           x, vocab_ordering_type, weights)
      assert none_sum is None
      assert none_counts is None
      analyzer_inputs = [unique_inputs, sum_weights]
    else:
      vocab_ordering_type = tf_utils.VocabOrderingType.FREQUENCY
      (unique_inputs, none_weights, none_sum,

Instances