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我的逻辑回归函数有问题，我正在使用 Pycharm IDE 和sklearn.linear_modelpackage LogisticRegression。

我的调试器显示AttributeError 'tuple' object has no attribute 'fit' and 'predict'.

代码如下：

def logistic_regression(df, y):
x_train, x_test, y_train, y_test = train_test_split(
    df, y, test_size=0.25, random_state=0)

sc = StandardScaler()
x_train = sc.fit_transform(x_train)
x_test = sc.transform(x_test)

clf = LogisticRegression(random_state=0, solver='sag',
                         penalty='l2', max_iter=1000, multi_class='multinomial'),
clf.fit(x_train, y_train)
y_pred = clf.predict(x_test)

return classification_metrics.print_metrics(y_test, y_pred, 'Logistic regression')

任何人都可以帮助在这里发现错误吗？因为对于其他功能，我尝试过fit并且predict看起来很好。

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1 回答 1

2

正如我在评论中提到的，代码中有一个小错误。

请删除 Logistic 回归模型对象创建中的逗号。

也没有这样的功能称为classification_metrics.print_metrics

所以我用过metrics.classification_report

from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LogisticRegression
from sklearn import metrics
def logistic_regression(df, y):
    x_train, x_test, y_train, y_test = train_test_split(df, y, test_size=0.25, random_state=0)

    sc = StandardScaler()
    x_train = sc.fit_transform(x_train)
    x_test = sc.transform(x_test)

    clf = LogisticRegression(random_state=0, solver='sag', penalty='l2', max_iter=1000, multi_class='multinomial')
    clf.fit(x_train, y_train)
    y_pred = clf.predict(x_test)

    return metrics.classification_report(y_test, y_pred)

函数调用

logistic_regression(df, y)
于 2020-10-14T14:09:17.267 回答