使用Logistic回归（python）时，最大迭代次数必须为正误差

Question

    x_train, x_test, y_train, y_test = 
    sklearn.model_selection.train_test_split(X, y, test_size=0.2, 
    shuffle=False)
    return(x_train, x_test, y_train, y_test)

    logisticR = LogisticRegression(random_state=0, max_iter = '800', 
    solver='saga', multi_class='multinomial')
    logisticR.fit(x_train, encoded_ytrain)

    acc = logisticR.score(x_test, encoded_ytest)
    print(acc)

运行时会出现以下错误：ValueError:最大迭代次数必须为正；got（max_iter='800'）

由于max_iter默认为100，是否有其他方法更改迭代的大小？在

Answer 1

实际上max_iter应该是int，而不是str

你能试试下列方法吗：

logisticR = LogisticRegression(random_state=0, max_iter=800, 
    solver='saga', multi_class='multinomial')