如何在 Sklearn 中保存 StandardScaler() 模型？我需要使模型可操作，并且不想一次又一次地加载训练数据以供 StandardScaler 学习，然后应用到我想要进行预测的新数据上。
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
#standardizing after splitting
X_train, X_test, y_train, y_test = train_test_split(data, target)
sc = StandardScaler()
X_train_std = sc.fit_transform(X_train)
X_test_std = sc.transform(X_test)