小编Mar*_*s K的帖子

我尝试使用继承来扩展scikit-learn的RidgeCV模型:

from sklearn.linear_model import RidgeCV, LassoCV

class Extended(RidgeCV):
    def __init__(self, *args, **kwargs):
        super(Extended, self).__init__(*args, **kwargs)

    def example(self):
        print 'Foo'


x = [[1,0],[2,0],[3,0],[4,0], [30, 1]]
y = [2,4,6,8, 60]
model = Extended(alphas = [float(a)/1000.0 for a in range(1, 10000)])
model.fit(x,y)
print model.predict([[5,1]])

它运行得很好,但是当我尝试从LassoCV继承时,它产生了以下回溯:

Traceback (most recent call last):
  File "C:/Python27/so.py", line 14, in <module>
    model.fit(x,y)
  File "C:\Python27\lib\site-packages\sklearn\linear_model\coordinate_descent.py", line 1098, in fit
    path_params = self.get_params()
  File "C:\Python27\lib\site-packages\sklearn\base.py", line 214, in get_params
    for key in self._get_param_names():
  File "C:\Python27\lib\site-packages\sklearn\base.py", line 195, in _get_param_names
    % …