(precision, recall)
return tf.where(
      tf.greater(precision + recall, 0), 2 * (
          (precision * recall) / (precision + recall)), 0)
Creates an op for calculating the F1 score.

  Args:
    precision: A tensor representing precision.
    recall: A tensor representing recall.

  Returns:
    A tensor with the result of the F1 calculation.
Creates an op for calculating the F1 score.
Creates an op for calculating the F1 score .
def f1_score(precision, recall):
  """Creates an op for calculating the F1 score.

  Args:
    precision: A tensor representing precision.
    recall: A tensor representing recall.

  Returns:
    A tensor with the result of the F1 calculation.
  """
  return tf.where(
      tf.greater(precision + recall, 0), 2 * (
          (precision * recall) / (precision + recall)), 0)
def f1_score ( precision , recall ) : return tf . where ( tf . greater ( precision + recall , 0 ) , 2 * ( ( precision * recall ) / ( precision + recall ) ) , 0 )