LogisticRegression(solver = ‘lbfgs‘)的ConvergenceWarning问题解决

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问题

      在执行LogisticRegression(solver = ‘lbfgs’)时出现如下错误： 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(

解决方法

此处已经告诉如何更改，增大最大迭代值，使用如下代码即可

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

在pycharm中我们可以ctrl+鼠标左键进入函数内部，我们点击LogisticRegression即可查看还可以更改什么其他参数

    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,
    ):

如果你想看过程命令verbose=1即可

RUNNING THE L-BFGS-B CODE

           * * *

Machine precision = 2.220D-16
 N =         7850     M =           10

At X0         0 variables are exactly at the bounds

At iterate    0    f=  1.38155D+05    |proj g|=  1.00073D+04

At iterate   50    f=  1.27352D+04    |proj g|=  5.42858D+01
.
.
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