问状态模型:如何向MLE结果类添加方法

EN

import numpy as np
from scipy import stats
import statsmodels.api as sm
from statsmodels.base.model import GenericLikelihoodModel,GenericLikelihoodModelResults

data = sm.datasets.spector.load_pandas()
endog = data.endog
exog = sm.add_constant(data.exog)

class MyProbit(GenericLikelihoodModel):
    def loglike(self, params):
        exog = self.exog
        endog = self.endog
        q = 2 * endog - 1
        return stats.norm.logcdf(q*np.dot(exog, params)).sum()

# my attemp starts ---------------
def my_method(self):
    return print(self.exog, self.params, self.model)

GenericLikelihoodModelResults.my_method = classmethod(my_method)
# my attemp ends ----------------

res = MyProbit(endog, exog).fit()

res.my_method()

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-29-a2d4f516bca7> in <module>
     23 res = MyProbit(endog, exog).fit()
     24 
---> 25 res.my_method()

<ipython-input-29-a2d4f516bca7> in my_method(self)
     17 # my attemp start ---------------
     18 def my_method(self):
---> 19     return print(self.exog, self.params, self.model)
     20 GenericLikelihoodModelResults.my_method = classmethod(my_method)
     21 # my attemp ends ----------------

AttributeError: type object 'GenericLikelihoodModelResults' has no attribute 'exog'

def my_check(self):
    return dir(self)

GenericLikelihoodModelResults.my_check = classmethod(my_check)

res.exog
res.endog
res.params