如何在类中使用scikit learn optimize (特别是use_named_args装饰器)？

from sklearn import optimize

class MyClass:
    def __init__(self):
        pass
    
    def target_function(self, x, y):
        # 定义需要优化的目标函数
        return x**2 + y**2

class MyClass:
    def __init__(self):
        pass
    
    def target_function(self, x, y):
        # 定义需要优化的目标函数
        return x**2 + y**2
    
    def optimize_function(self):
        @optimize.use_named_args({'x', 'y'})
        def wrapped_func(x, y):
            return self.target_function(x, y)
        
        result = optimize.minimize(wrapped_func, [0, 0])
        return result

my_instance = MyClass()
result = my_instance.optimize_function()
print(result)