本文介绍了python 支持向量机非线性回归SVR模型，废话不多说，具体如下：
import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets, linear_model,svm
from sklearn.model_selection import train_test_split
def load_data_regression():
'''
加载用于回归问题的数据集
'''
d
文章目录非线性样本Sklearn回归汇总决策树随机森林Keras神经网络
非线性样本
from matplotlib import pyplot as mp
y = [.4187, .0964, .0853, .0305, .0358, .0338, .0368, .0222, .0798, .1515]
x = [[i]for i in range(len(y))]
mp.scatter(x, y, s=99)
mp.show()
Sklearn回归汇总
import matplotl
