(true_positives, false_positives,
                                    false_negatives)
return tf.where(
      tf.greater(true_positives + false_positives + false_negatives, 0),
      true_positives / (true_positives + false_positives + false_negatives), 0)
Creates an op for calculating accuracy without true negatives.

  Args:
    true_positives: A tensor representing true_positives.
    false_positives: A tensor representing false_positives.
    false_negatives: A tensor representing false_negatives.

  Returns:
    A tensor with the result of the calculation.
Creates an op for calculating accuracy without true negatives.
Creates an op for calculating accuracy without true negatives .
def accuracy_without_true_negatives(true_positives, false_positives,
                                    false_negatives):
  """Creates an op for calculating accuracy without true negatives.

  Args:
    true_positives: A tensor representing true_positives.
    false_positives: A tensor representing false_positives.
    false_negatives: A tensor representing false_negatives.

  Returns:
    A tensor with the result of the calculation.
  """
  return tf.where(
      tf.greater(true_positives + false_positives + false_negatives, 0),
      true_positives / (true_positives + false_positives + false_negatives), 0)
def accuracy_without_true_negatives ( true_positives , false_positives , false_negatives ) : return tf . where ( tf . greater ( true_positives + false_positives + false_negatives , 0 ) , true_positives / ( true_positives + false_positives + false_negatives ) , 0 )