如何在Sklearn中保存StandardScaler()模型?我需要让一个模型运行起来,不想反复加载训练数据,让StandardScaler学习,然后应用到我想要预测的新数据上.
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)