构造线性回归模型1
import numpy as np import tensorflow as tf import matplotlib.pyplot as plt #随机生成1000个点,围绕在y=0.1x+0.3的直线周围 num_points = 1000 vectors_set = [] for i in range(num_points): x1 = np.random.normal(0.0,0.55) y1 = x1 * 0.1 + 0.3 + np.random.normal(0.0,0.03) vectors_set.append([x1,y1]) #生成一些样本 x_data = [v[0] for v in vectors_set] y_data = [v[1] for v in vectors_set] plt.scatter(x_data,y_data,c='r') plt.show()