在我的方案中,我已经训练和测试了模型,所有的x_train和x_test都使用sklearn.MinMaxScaler()进行了缩放。然后,应用于实时过程,我如何在相同规模的训练和测试数据中缩放新输入。具体步骤如下 featuresData = df[features].values # Array of all features with the length of thousands
sc = MinMaxScaler根据我的逻辑,在训练模
当我试图加载保存的sklearn.preprocessing.MinMaxScaler时,我会得到以下错误
/shared/env/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator MinMaxScaler from version 0.23.2 when using version129, in proc