parameters: (self, transformation_cache, state_manager)
return_statement: return math_ops._bucketize(  # pylint: disable=protected-access
          source_tensor,
          boundaries=self.boundaries)
docstring: Returns bucketized categorical `source_column` tensor.
docstring_summary: Returns bucketized categorical `source_column` tensor.
docstring_tokens: Returns bucketized categorical source_column tensor .
function: def transform_feature(self, transformation_cache, state_manager):
      """Returns bucketized categorical `source_column` tensor."""
      source_tensor = transformation_cache.get(self.source_column, state_manager)
      return math_ops._bucketize(  # pylint: disable=protected-access
          source_tensor,
          boundaries=self.boundaries)
function_tokens: def transform_feature ( self , transformation_cache , state_manager ) : source_tensor = transformation_cache . get ( self . source_column , state_manager ) return math_ops . _bucketize ( # pylint: disable=protected-access source_tensor , boundaries = self . boundaries )