我用i = np.dot(g,i),计算得到图示矩阵,该怎么把他转换成一个值,就是ta的内积
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- 沐川 2021-04-01 08:49关注
如下
#!/usr/bin/python # -*- coding: utf-8 -*- import numpy as np arr1 = np.array([0.025,0.02,0.03]) arr2 = np.array([0.02,0.015,0.04]) dotx = np.dot(arr1,arr2) print(dotx)
更新:
#!/usr/bin/python # -*- coding: utf-8 -*- import numpy as np h = np.array([[0,0,0,0,0,0,],[1/3,0,0,0,0,1/2],[1/3,1/2,0,1/2,0,0],[1/3,1/2,1,0,0,1/2],[0,0,0,0,0,0],[0,0,0,1/2,1,0]]) i = np.array([[0.3],[0.2],[0.1],[0.1],[0.1],[0.2]]) a = 0.85 j = np.array([[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1]]) g = a*h + (1-a) * (1/6) * j n1 = np.squeeze(np.asarray(g)) n2 = np.squeeze(np.asarray(i)) f = np.dot(n1,n2) print(np.dot(f,f))
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