摘要: 拟合曲线 多项式拟合 np.ployfit(x, y, deg) import matplotlib.pyplot as plt import numpy as np x = [1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8] y 阅读全文
posted @ 2024-07-29 13:30 V-East 阅读(29) 评论(0) 推荐(0) 编辑
摘要: matplotlib中文和负号 import matplotlib.pyplot as plt plt.rcParams['font.family'] = 'SimHei' # 中文 plt.rcParams['axes.unicode_minus'] = False # 显示负号 #%config 阅读全文
posted @ 2024-07-29 13:24 V-East 阅读(6) 评论(0) 推荐(0) 编辑
摘要: MSE MSE = np.sum((y_preditc-y_test)**2)/len(y_test) RMSE RMSE = MSE ** 0.5 MAE MAE = np.sum(np.absolute(y_preditc-y_test))/len(y_test) R2 SS_res = np. 阅读全文
posted @ 2024-07-29 13:23 V-East 阅读(20) 评论(0) 推荐(0) 编辑
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