抛出收敛警告的Logistic回归算法

Question

model = LogisticRegression()
model.set_params(solver='liblinear', C=10.0, random_state=0 , max_iter = 40000000)
model.fit(x, y)

/usr/local/lib/python3.7/dist-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.

增加迭代次数（max_iter）或按Scikit-learn doc所示缩放数据

另请参考the logistic regression了解备选解算器选项：

extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG)

我试图增加max_iter参数，但总是抛出这个警告，所以我试图输入一个巨大的数字，但它抛出一个警告，有溢出。你能帮我摆脱这个警告吗