message: Deletes an unused private method in head.py
diff: @@ -1545,26 +1545,6 @@ def _assert_range(labels, n_classes, message=None):
  return array_ops.identity(labels)
  -# TODO(b/69000400): Delete this method.
  -def _weights(features, weight_column):
  - """Fetches weights from features."""
  - with ops.name_scope(None, 'weights', values=features.values()):
  - if weight_column is None:
  - return 1.
  - if isinstance(weight_column, six.string_types):
  - weight_column = feature_column_lib.numeric_column(
  - key=weight_column, shape=(1,))
  - if not isinstance(weight_column, feature_column_lib._NumericColumn): # pylint: disable=protected-access
  - raise TypeError('Weight column must be either a string or _NumericColumn.'
  - ' Given type: {}.'.format(type(weight_column)))
  - weights = weight_column._get_dense_tensor( # pylint: disable=protected-access
  - feature_column_lib._LazyBuilder(features)) # pylint: disable=protected-access
  - if not (weights.dtype.is_floating or weights.dtype.is_integer):
  - raise ValueError('Weight column should be castable to float. '
  - 'Given dtype: {}'.format(weights.dtype))
  - return math_ops.to_float(weights, name='weights')
  -
  -
  def _binary_logistic_or_multi_class_head(
  n_classes, weight_column, label_vocabulary, loss_reduction):
  """Creates either binary or multi-class head.
  