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PyTorch进阶之路(二):如何实现线性回归

https://new.qq.com/omn/20190315/20190315A093SV.html

yield_apple = w11 * temp + w12 * rainfall + w13 * humidity + b1

yield_orange = w21 * temp + w22 * rainfall + w23 * humidity + b2

可视化地看,这意味着苹果或橙子的产量是温度、降雨量或湿度的线性函数或平面函数:

import torch
import numpy as np
#input (temp温度 , rainfall降雨量,  humidity湿度 )
inputs = np.array([[73, 67, 43],[91, 88, 64],[87, 134, 58],[102, 43, 37], [69, 96, 70]], dtype='float32')
inputs
array([[ 73.,  67.,  43.],
       [ 91.,  88.,  64.],
       [ 87., 134.,  58.],
       [102.,  43.,  37.],
       [ 69.,  96.,  70.]], dtype=float32)