parameters: (self)
docstring: Args:
              forecasts (int):        Number of periods to average.
              base_forecast (bool):   A list of weights that sum up to one.
  
  
          Returns:
              np.array
  
          Raises:
              ValueError:
function: def optimise(self):
  
          """
  
          Args:
              forecasts (int):        Number of periods to average.
              base_forecast (bool):   A list of weights that sum up to one.
  
  
          Returns:
              np.array
  
          Raises:
              ValueError:
          """
          pass
function_tokens: def optimise ( self ) : pass