小编xxw*_*201的帖子

我正在使用 python statsmodels 包使用我的数据来训练 GLM 模型（泊松族）。我拥有的数据包含数值和分类值。我对数值进行了标准化，并对分类值进行了单热编码（放弃第一级）。当我将数据拟合到模型中时，出现以下异常：

~/miniconda3/envs/losscost/lib/python3.7/site-packages/insite/losscost/losscost.py in evaluate(self, x, control, peril_descs)
    271                     family=sm.families.Poisson(link=sm.families.links.log()),
    272                 )
--> 273                 freq_fitted = freq_glm.fit()
    274                 freq_results[name].append(freq_fitted)
    275 

~/miniconda3/envs/losscost/lib/python3.7/site-packages/statsmodels/genmod/generalized_linear_model.py in fit(self, start_params, maxiter, method, tol, scale, cov_type, cov_kwds, use_t, full_output, disp, max_start_irls, **kwargs)
   1025             return self._fit_irls(start_params=start_params, maxiter=maxiter,
   1026                                   tol=tol, scale=scale, cov_type=cov_type,
-> 1027                                   cov_kwds=cov_kwds, use_t=use_t, **kwargs)
   1028         else:
   1029             self._optim_hessian = kwargs.get('optim_hessian')

~/miniconda3/envs/losscost/lib/python3.7/site-packages/statsmodels/genmod/generalized_linear_model.py in _fit_irls(self, start_params, maxiter, tol, scale, cov_type, cov_kwds, use_t, **kwargs)
   1163             wls_mod = reg_tools._MinimalWLS(wlsendog, wlsexog,
   1164                                             self.weights, check_endog=True,
-> 1165                                             check_weights=True) …