feature_column.py 文件源码

def insert_transformed_feature(self, columns_to_tensors):
    """Apply transformation and inserts it into columns_to_tensors.

    Args:
      columns_to_tensors: A mapping from feature columns to tensors. 'string'
        key means a base feature (not-transformed). It can have _FeatureColumn
        as a key too. That means that _FeatureColumn is already transformed.
    """
    # Transform the input tensor according to the normalizer function.
    input_tensor = self._normalized_input_tensor(columns_to_tensors[self.name])
    columns_to_tensors[self] = math_ops.to_float(input_tensor)

  # pylint: disable=unused-argument