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問題

??????在執行LogisticRegression(solver = ‘lbfgs’)時出現如下錯誤： 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
n_iter_i = _check_optimize_result(

解決方法

此處已經告訴如何更改，增大最大迭代值，使用如下代碼即可

  LogisticRegression(solver = 'lbfgs',max_iter=10000)

在pycharm中我們可以ctrl+鼠標左鍵進入函數內部，我們點擊LogisticRegression即可查看還可以更改什么其他參數

    def __init__(self,penalty="l2",*,dual=False,tol=1e-4,C=1.0,fit_intercept=True,intercept_scaling=1,class_weight=None,random_state=None,solver="lbfgs",max_iter=100,multi_class="auto",verbose=0,warm_start=False,n_jobs=None,l1_ratio=None,):

如果你想看過程命令verbose=1即可

RUNNING THE L-BFGS-B CODE* * *Machine precision = 2.220D-16N =         7850     M =           10At X0         0 variables are exactly at the boundsAt iterate    0    f=  1.38155D+05    |proj g|=  1.00073D+04At iterate   50    f=  1.27352D+04    |proj g|=  5.42858D+01
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