您需要将字典更改为：

from sklearn import metrics
my_dict = {'weighted_roc_auc': metrics.roc_auc_score}

一旦你使用了上面的方法，你就可以使用函数中所有的关键字参数了. https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html
示例代码：

from sklearn.preprocessing import label_binarize

# You need the labels to binarize
labels = [0, 1, 2, 3]

ytest  = [0,1,2,3,2,2,1,0,1]

# Binarize ytest with shape (n_samples, n_classes)
ytest = label_binarize(ytest, classes=labels)

ypreds = [1,2,1,3,2,2,0,1,1]

# Binarize ypreds with shape (n_samples, n_classes)
ypreds = label_binarize(ypreds, classes=labels)

my_dict['weighted_roc_auc'](ytest, ypreds,average='weighted')  # I am using your dictionary with average='weighted'

#output
0.5952380952380953

my_dict = {'weighted_auc_roc_score': lambda true, pred: metrics.roc_auc_score(true, pred, average="weighted")}