(self, model)
gets the operators that were used to preprocess the dataset for prediction.
    :param modeL; the key in the models dictionary.
gets the operators that were used to preprocess the dataset for prediction.
    :param modeL; the key in the models dictionary.
gets the operators that were used to preprocess the dataset for prediction . : param modeL ; the key in the models dictionary .
def get_operators(self, model):
    '''
    gets the operators that were used to preprocess the dataset for prediction.
    :param modeL; the key in the models dictionary.
    '''
    defined = ['plots', 'accuracy', 'losses']
    if model in self.models:
        operations = [
            func +
            "()" for func in self.models[model].keys() if func in defined]
        if len(operations) > 0:
            print(operations)
        else:
            raise Exception(
                "There are no built-in operators defined for this model. Please refer to the models dictionary.")
    else:
        raise Exception(
            "The requested model has not been applied to the client.")
def get_operators ( self , model ) : defined = [ 'plots' , 'accuracy' , 'losses' ] if model in self . models : operations = [ func + "()" for func in self . models [ model ] . keys ( ) if func in defined ] if len ( operations ) > 0 : print ( operations ) else : raise Exception ( "There are no built-in operators defined for this model. Please refer to the models dictionary." ) else : raise Exception ( "The requested model has not been applied to the client." )