这个函数产生一个错误我的代码：
import numpy as np
import pandas as pd
import statsmodels.api as sm
df = pd.read_csv('./fraud_dataset.csv')
df[['weekday','weekend']]= pd.get_dummies(df['day'])
df.drop(['weekend'],axis=1,inplace=True)
df[['notfraud','fraud']]= pd.get_dummies(df['fraud'])
df.drop(['notfraud'],axis=1,inplace=True)
df['intercept'] = 1
log_mod = sm.Logit(df['fraud'], df[['intercept', 'weekday', 'duration']])
results = log_mod.fit()
results.summary()
它给出了这个错误，我不明白为什么？
/opt/conda/lib/python3.6/site-packages/statsmodels/discrete/discrete_model.py in summary(self, yname,
xname, title, alpha, yname_list)
2756 yname_list=None):
2757 smry = super(BinaryResults, self).summary(yname, xname, title, alpha,
-> 2758 yname_list)
2759 fittedvalues = self.model.cdf(self.fittedvalues)
2760 absprederror = np.abs(self.model.endog - fittedvalues)
/opt/conda/lib/python3.6/site-packages/statsmodels/discrete/discrete_model.py in summary(self, yname,
xname, title, alpha, yname_list)
2548 ('Log-Likelihood:', None),
2549 ('LL-Null:', ["%#8.5g" % self.llnull]),
-> 2550 ('LLR p-value:', ["%#6.4g" % self.llr_pvalue])
2551 ]
2552
/opt/conda/lib/python3.6/site-packages/statsmodels/tools/decorators.py in __get__(self, obj, type)
95 if _cachedval is None:
96 # Call the "fget" function
---> 97 _cachedval = self.fget(obj)
98 # Set the attribute in obj
99 # print("Setting %s in cache to %s" % (name, _cachedval))
/opt/conda/lib/python3.6/site-packages/statsmodels/discrete/discrete_model.py in llr_pvalue(self)
2403 @cache_readonly
2404 def llr_pvalue(self):
-> 2405 return stats.chisqprob(self.llr, self.df_model)
2406
2407 @cache_readonly
AttributeError: module 'scipy.stats' has no attribute 'chisqprob'
我认为在 statsmodels 中有某种更新，我真的找不到解决这个问题的方法，虽然我找到了一些相同错误但原因不同的帖子。我将衷心感谢您的帮助。