import pandas as pd
import numpy as np
from scipy.interpolate import lagrange #导入拉格朗日插值函数
from sklearn.datasets import load_iris,load_diabetes
from keras.models import&nbs
转自：https://blog.csdn.net/hzw19920329/article/details/77200475 这里说了线性回归、岭回归、lasso回归来预测数据。上面的原文说得很清楚向前辈致敬，代码就搬运过来，方便自己看# 线性回归
import matplotlib.pyplot as plt
import numpy as np
from sklearn import da
from sklearn.decomposition import PCA
from sklearn.datasets import load_iris
from sklearn import svm,datasets
import sys
from numpy.random import shuffle
import pandas as