python - AttributeError : 'str' object has no attribute 'decode' in fitting Logistic Regression Model

Question

我目前正在尝试使用Logistic回归创建二进制分类。目前，我正在确定功能的重要性。我已经进行了数据预处理(一次热编码和采样)，并使用XGBoost和RandomFOrestClassifier运行了它，没问题
但是，当我尝试拟合LogisticRegression模型(下面是我在Notebook中的代码)时，

from sklearn.linear_model import LogisticRegression

#Logistic Regression
# fit the model
model = LogisticRegression()
# fit the model
model.fit(np.array(X_over), np.array(y_over))
# get importance
importance = model.coef_[0]
# summarize feature importance
df_imp = pd.DataFrame({'feature':list(X_over.columns), 'importance':importance})
display(df_imp.sort_values('importance', ascending=False).head(20))

# plot feature importance
plt.bar(list(X_over.columns), importance)
plt.show()

它给出了一个错误

...
~\AppData\Local\Continuum\anaconda3\lib\site-packages\joblib\parallel.py in <listcomp>(.0)
    223         with parallel_backend(self._backend, n_jobs=self._n_jobs):
    224             return [func(*args, **kwargs)
--> 225                     for func, args, kwargs in self.items]
    226 
    227     def __len__(self):

~\AppData\Local\Continuum\anaconda3\lib\site-packages\sklearn\linear_model\_logistic.py in _logistic_regression_path(X, y, pos_class, Cs, fit_intercept, max_iter, tol, verbose, solver, coef, class_weight, dual, penalty, intercept_scaling, multi_class, random_state, check_input, max_squared_sum, sample_weight, l1_ratio)
    762             n_iter_i = _check_optimize_result(
    763                 solver, opt_res, max_iter,
--> 764                 extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG)
    765             w0, loss = opt_res.x, opt_res.fun
    766         elif solver == 'newton-cg':

~\AppData\Local\Continuum\anaconda3\lib\site-packages\sklearn\utils\optimize.py in _check_optimize_result(solver, result, max_iter, extra_warning_msg)
    241                 "    https://scikit-learn.org/stable/modules/"
    242                 "preprocessing.html"
--> 243             ).format(solver, result.status, result.message.decode("latin1"))
    244             if extra_warning_msg is not None:
    245                 warning_msg += "\n" + extra_warning_msg

AttributeError: 'str' object has no attribute 'decode'    

我用谷歌搜索，几乎所有的回答都说这个错误是因为scikit-learn库试图对已经解码的字符串进行解码。但是我不知道如何解决我的情况。我确保所有数据都是整数或float64，并且没有字符串。

Answer 1

我仍然尝试使用以下命令升级scikit-learn，但仍无法解决AttributeError: 'str' object has no attribute 'decode'问题

pip install scikit-learn  -U

最后，下面的代码片段解决了该问题，将求解器添加为 liblinear

model = LogisticRegression(solver='liblinear')