Python GridSearchCV函数给出的警告太多

我正在运行

GridSearchCV

函数来搜索套索回归模型的最佳

alpha

（正则化项系数）

当我像这样运行网格搜索时

_model = Lasso()
param_dict = {'alpha': [1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 1e-1]}
gsearch = GridSearchCV(_model, param_dict, cv=5, scoring='neg_mean_squared_error', n_jobs=5)

相同的

ConvergenceWarning

会出现大约20次，如下所示

/home/user/.pyenv/versions/anaconda3-4.4.0/lib/python3.6/site-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
/home/user/.pyenv/versions/anaconda3-4.4.0/lib/python3.6/site-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
/home/user/.pyenv/versions/anaconda3-4.4.0/lib/python3.6/site-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
/home/user/.pyenv/versions/anaconda3-4.4.0/lib/python3.6/site-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
....

ConvergenceWarning

很重要，但是当它像这样显示这么多次时，就很烦人了。

---

是否有其他方法可以只显示一次此

聚合警告

？

我认为您应该使用

警告

模块来处理此问题

import warnings
warnings.warn("once")

上述代码将只打印一次警告

---

您可以浏览警告模块

我认为您应该使用

警告

模块来处理它

import warnings
warnings.warn("once")

上述代码将只打印一次警告

---

您可以浏览警告模块

我添加了您编写的代码，但没有解决问题。我添加了您编写的代码，但没有解决问题。