code: def predict(fqdn, result, *argl, **argd):
      
      #Check the arguments to see what kind of data we are working with, then
      #choose the appropriate function below to return the analysis dictionary.
      out = None
      if len(argl) > 0:
          machine = argl[0]
          if isclassifier(machine):
              out = classify_predict(fqdn, result, None, *argl, **argd)
          elif isregressor(machine):
              out = regress_predict(fqdn, result, None, *argl, **argd)
      return out
docs: Analyzes the result of a generic predict operation performed by
      `sklearn`.
  
      Args:
          fqdn (str): full-qualified name of the method that was called.
          result: result of calling the method with `fqdn`.
          argl (tuple): positional arguments passed to the method call.
          argd (dict): keyword arguments passed to the method call.