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: Maximum number of iteration must be positive; got (max_iter=’800′)

由于默认的max_iter值为100，是否有其他方法来更改迭代次数？

回答：

实际上，max_iter 应该是一个 int 类型，而不应该是一个 str 类型

您可以尝试以下代码：

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