from sklearn.datasets import make_circles
from sklearn.svm import SVC
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from sklearn.linear_model import LogisticRegression
import numpy as np
#创建样本点
'''
n_samples：创建多少啊个样本
noise
from sklearn.datasets import make_circles
from sklearn.svm import SVC
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from sklearn.linear_model import LogisticRegression
import numpy as np
#创建样本点
'''
n_samples：创建多少啊个样本
noise
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
