parameters: (self, input_fn)
return_statement: return (pred[key] for pred in predictions)
docstring: Returns predicted scores for given features.
  
      Args:
        input_fn: The input function providing features.
  
      Returns:
        A generator of predicted scores for the features provided by input_fn.
docstring_summary: Returns predicted scores for given features.
docstring_tokens: Returns predicted scores for given features .
function: def predict_scores(self, input_fn):
      """Returns predicted scores for given features.
  
      Args:
        input_fn: The input function providing features.
  
      Returns:
        A generator of predicted scores for the features provided by input_fn.
      """
      key = prediction_key.PredictionKey.SCORES
      predictions = super(SDCALinearRegressor, self).predict(
          input_fn=input_fn, outputs=[key])
      return (pred[key] for pred in predictions)
function_tokens: def predict_scores ( self , input_fn ) : key = prediction_key . PredictionKey . SCORES predictions = super ( SDCALinearRegressor , self ) . predict ( input_fn = input_fn , outputs = [ key ] ) return ( pred [ key ] for pred in predictions )