Lines Matching refs:np
5 import numpy as np namespace
21 va = np.random.rand(DIM)
22 vb = np.random.rand(DIM)
27 e = np.sum(va[0:nbiters].T * vb[0:nbiters]) / np.sum(vb[0:nbiters])
31 e = np.sum(va[0:nbiters].T * vb[0:nbiters]) / np.sum(vb[0:nbiters])
35 e = np.sum(va[0:nbiters].T * vb[0:nbiters]) / np.sum(vb[0:nbiters])
38 inputs=np.array(inputs)
39 weights=np.array(weights)
40 output=np.array(output)
61 b = np.zeros(vecDim)
62 coefs = np.random.rand(nbVecs)
65 va = np.random.rand(vecDim)
69 b = b / np.sum(coefs)
74 inputs=np.array(inputs)
75 weights=np.array(weights)
76 output=np.array(output)
84 va = np.random.rand(nb)
86 sat = np.array([-1.0,1.0,-2.1,2.1])
87 va = np.hstack([va,sat])
168 va = np.random.rand(128*15)
169 vb = np.random.rand(128)
175 data = np.random.randn(11)
178 ref = np.sort(data)
181 data = np.random.randn(16)
184 ref = np.sort(data)
187 data = np.random.randn(32)
190 ref = np.sort(data)
193 data = np.full((16), np.random.randn(1))
196 ref = np.sort(data)