Python Scikit学习为套索增加迭代次数发出警告

我正在尝试使用Python的

Scikit学习

包运行

Linear Regression

和

LASSO

对于Lasso，我的配置如下：

lasso_eps = 0.0001
lasso_alpha = 20
lasso_iter = 5000

lasso_cv = LassoCV(eps=lasso_eps, n_alphas=lasso_alpha, max_iter=lasso_iter, normalize=True, cv=5)
model = make_pipeline(PolynomialFeatures(degree=2, interaction_only=False), lasso_cv)
model.fit(X_train, y_train.values.ravel())

y_predict = model.predict(X_test)
model_score = model.score(X_test, y_test)
print(f"Accuracy: {model_score}")

模型的代码如下所示：

lasso_eps = 0.0001
lasso_alpha = 20
lasso_iter = 5000

lasso_cv = LassoCV(eps=lasso_eps, n_alphas=lasso_alpha, max_iter=lasso_iter, normalize=True, cv=5)
model = make_pipeline(PolynomialFeatures(degree=2, interaction_only=False), lasso_cv)
model.fit(X_train, y_train.values.ravel())

y_predict = model.predict(X_test)
model_score = model.score(X_test, y_test)
print(f"Accuracy: {model_score}")

尽管如此，我还是得到了正确的模型分数；我也收到了以下警告：

/Users/pankajkumar/anaconda3/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)

有人能建议一下，这个警告意味着什么以及如何解决？

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任何帮助都将不胜感激。

添加以下

ignore\u警告

有助于删除警告：

带有ignore\u警告（category=ConvergenceWarning）：

但我仍然好奇这意味着什么。