message: Change description of sparse_column_with_integerized_feature to make consistent with the _SparseColumn that it creates.
  Documentation here says that the bucket_size must be an int that is greater than 1. The check performed when creating a _SparseColumn only requires that the bucket_size be at least 1.  Hence, bucket_size==1 should be ok.
diff: @@ -521,7 +521,7 @@ def sparse_column_with_integerized_feature(column_name,
  Args:
  column_name: A string defining sparse column name.
  - bucket_size: An int that is > 1. The number of buckets. It should be bigger
  + bucket_size: An int that is >= 1. The number of buckets. It should be bigger
  than maximum feature. In other words features in this column should be an
  int64 in range [0, bucket_size)
  combiner: A string specifying how to reduce if the sparse column is
  @@ -539,7 +539,7 @@ def sparse_column_with_integerized_feature(column_name,
  An integerized _SparseColumn definition.
  Raises:
  - ValueError: bucket_size is not greater than 1.
  + ValueError: bucket_size is less than 1.
  ValueError: dtype is not integer.
  """
  return _SparseColumnIntegerized(
  