英文:
warnings.filterwarnings() doesn't work to suppress ConvergenceWarning of SGDClassifier
问题
我在测试Scikit-learn包的`SGDClassifier`的准确性，根据`max_iter`属性的变化。我也知道测试的`max_iter`值很小，所以会出现大量的`ConvergenceWarning`，所以我添加了一段代码来忽略这些警告。(在Google Colab界面上进行测试，使用本地运行时(Jupyter笔记本，在Windows 11上使用WSL2))```pythonimport warningswarnings.filterwarnings(action='ignore') # <----from sklearn.model_selection import cross_validatefrom sklearn.linear_model import SGDClassifierfor _seq in range(5, 20 + 1, 5):sc = SGDClassifier(loss="log_loss", max_iter=_seq, random_state=42)scores = cross_validate(sc, train_scaled, train_target, n_jobs=-1)print(f"""max_iter: {_seq}, scores = {np.mean(scores["test_score"])}""")
不幸的是，这段代码没有起作用，不必要的警告充斥着整个控制台，让我难以查看模型性能的变化。
/home/knightchaser/.local/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.warnings.warn(/home/knightchaser/.local/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.warnings.warn(/home/knightchaser/.local/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.warnings.warn(/home/knightchaser/.local/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.warnings.warn(/home/knightchaser/.local/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.warnings.warn(max_iter: 5, scores = 0.8196000000000001...(缩写)...
有没有办法抑制这些烦人且不必要的警告消息？非常感谢您能提供的任何帮助。
<details><summary>英文:</summary>I was testing the Scikit-learn package's `SGDClassifier`'s accuracy according to the change of the `max_iter` property. I also knew that the testing `max_iter` values are small so there would be a bunch of `ConvergenceWarning`, so I added a code to ignore those warnings.(Testing on Google colab interface, using a local runtime(Jupyter notebook, WSL2 on Windows 11))```pythonimport warningswarnings.filterwarnings(action='ignore') # <----from sklearn.model_selection import cross_validatefrom sklearn.linear_model import SGDClassifierfor _seq in range(5, 20 + 1, 5):sc = SGDClassifier(loss = "log_loss", max_iter = _seq, random_state = 42)scores = cross_validate(sc, train_scaled, train_target, n_jobs = -1)print(f"""max_iter: {_seq}, scores = {np.mean(scores["test_score"])}""")
Unfortunately, the code didn't work and the unnecessary warnings filled all over the console, and bothered me looking at the change in the model performances.
/home/knightchaser/.local/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.warnings.warn(/home/knightchaser/.local/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.warnings.warn(/home/knightchaser/.local/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.warnings.warn(/home/knightchaser/.local/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.warnings.warn(/home/knightchaser/.local/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.warnings.warn(max_iter: 5, scores = 0.8196000000000001...(abbreviated)...
Is there a way to suppress those annoying and unnecessary warning messages? I really appreciate any help you can provide.
答案1
得分: 1
尝试：import logginglogger = logging.getLogger()logger.setLevel(logging.CRITICAL)或者：import logging, syslogging.disable(sys.maxsize)
英文:
Try:
import logginglogger = logging.getLogger()logger.setLevel(logging.CRITICAL)
OR:
import logging, syslogging.disable(sys.maxsize)
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