parameters: (self)
return_statement: return False
docstring: Check if the categorical column of the embedding column is weighted.
docstring_summary: Check if the categorical column of the embedding column is weighted.
docstring_tokens: Check if the categorical column of the embedding column is weighted .
function: def is_categorical_column_weighted(self):
      """Check if the categorical column of the embedding column is weighted."""
      if isinstance(
          self.categorical_column,
          (
              fc._WeightedCategoricalColumn,  # pylint: disable=protected-access
              fc_lib.WeightedCategoricalColumn)):
        return True
      return False
function_tokens: def is_categorical_column_weighted ( self ) : if isinstance ( self . categorical_column , ( fc . _WeightedCategoricalColumn , # pylint: disable=protected-access fc_lib . WeightedCategoricalColumn ) ) : return True return False