inverse_transform()的用法

X1=scaler.inverse_transform(X_scaled)是将标准化后的数据转换为原始数据。

from sklearn import preprocessing
import numpy as np
X = np.array([[ 1., -1.,  2.],[ 2.,  0.,  0.],[ 0.,  1., -1.]])
scaler= preprocessing.MinMaxScaler(feature_range=(-1, 1)).fit(X)
X_scaled = scaler.transform(X)
print(X)
print(X_scaled)
X1=scaler.inverse_transform(X_scaled)
print(X1)
print(X1[0, -1])