code: def set_default_prediction_value(self, values):
          
          if type(values) is not list:
              values = [float(values)]
          self.tree_parameters.numPredictionDimensions = len(values)
          for value in values:
              self.tree_parameters.basePredictionValue.append(value)
docs: Set the default prediction value(s).
  
          The values given here form the base prediction value that the values
          at activated leaves are added to.  If values is a scalar, then
          the output of the tree must also be 1 dimensional; otherwise, values
          must be a list with length matching the dimension of values in the tree.
  
          Parameters
          ----------
          values: [int | double | list[double]]
              Default values for predictions.