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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])