吳裕雄 python 機器學習——數據預處理標准化MinMaxScaler模型

from sklearn.preprocessing import MinMaxScaler

#數據預處理標准化MinMaxScaler模型
def test_MinMaxScaler():
    X=[[1,5,1,2,10],
      [2,6,3,2,7],
      [3,7,5,6,4,],
      [4,8,7,8,1]]
    print("before transform:",X)
    scaler=MinMaxScaler(feature_range=(0,2))
    scaler.fit(X)
    print("min_ is :",scaler.min_)
    print("scale_ is :",scaler.scale_)
    print("data_max_ is :",scaler.data_max_)
    print("data_min_ is :",scaler.data_min_)
    print("data_range_ is :",scaler.data_range_)
    print("after transform:",scaler.transform(X))
    
# 調用 test_MinMaxScaler
test_MinMaxScaler()