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【Python】处理ConvergenceWarning: lbfgs failed to converge (status=1):STOP: ...

發布時間:2025/3/15 python 25 豆豆
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又是紅了一大片:

D:\PyCharm\machine_learning_py_codes\venv\lib\site-packages\sklearn\linear_model_logistic.py:764: ConvergenceWarning: lbfgs failed to converge (status=1):
STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.

Increase the number of iterations (max_iter) or scale the data as shown in:
??https://scikit-learn.org/stable/modules/preprocessing.html
Please also refer to the documentation for alternative solver options:
??https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
?extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG)
D:\PyCharm\machine_learning_py_codes\venv\lib\site-packages\sklearn\linear_model_logistic.py:764: ConvergenceWarning: lbfgs failed to converge (status=1):
STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.

Increase the number of iterations (max_iter) or scale the data as shown in:
??https://scikit-learn.org/stable/modules/preprocessing.html
Please also refer to the documentation for alternative solver options:
??https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
?extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG)

D:\PyCharm\machine_learning_py_codes\venv\lib\site-packages\sklearn\linear_model_logistic.py:764: ConvergenceWarning: lbfgs failed to converge (status=1):
STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.

Increase the number of iterations (max_iter) or scale the data as shown in:
??https://scikit-learn.org/stable/modules/preprocessing.html
Please also refer to the documentation for alternative solver options:
??https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
?extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG)
D:\PyCharm\machine_learning_py_codes\venv\lib\site-packages\sklearn\linear_model_logistic.py:764: ConvergenceWarning: lbfgs failed to converge (status=1):
STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.

Increase the number of iterations (max_iter) or scale the data as shown in:
??https://scikit-learn.org/stable/modules/preprocessing.html
Please also refer to the documentation for alternative solver options:
??https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
?extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG)

看異常棧,反復出現 max_iter,問題就在于我寫的是logit = LogisticRegression(),應該改成logit = LogisticRegression(max_iter=10000),這樣就OK了。

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