数据预处理-归一化

def solve():
    import numpy as np
    from sklearn.datasets import load_iris
    from sklearn.preprocessing import MinMaxScaler
    iris = load_iris()
    X = iris.data
    scaler = MinMaxScaler()
    X_s = scaler.fit_transform(X)
    print(f'{X_s[:, 0].min():.4f},{X_s[:, 0].max():.4f}')