Lines Matching refs:np
2 import numpy as np namespace
46 x = np.arange(0, 2*np.pi+np.pi/4, np.pi/4)
47 y = np.sin(x)
48 xnew = np.arange(0, 2*np.pi+np.pi/16, np.pi/16)
68 x1 = [1.5, 1] + ballRadius * np.random.randn(NBVECS,VECDIM)
69 x2 = [-1.5, 1] + ballRadius * np.random.randn(NBVECS,VECDIM)
70 x3 = [0, -3] + ballRadius * np.random.randn(NBVECS,VECDIM)
73 X_train=np.concatenate((x1,x2,x3))
76 Y_train=np.concatenate((np.zeros(NBVECS),np.ones(NBVECS),2*np.ones(NBVECS)))
95 theta=list(np.reshape(gnb.theta_,np.size(gnb.theta_)))
98 sigma=list(np.reshape(gnb.var_,np.size(gnb.var_)))
101 prior=list(np.reshape(gnb.class_prior_,np.size(gnb.class_prior_)))
128 x = ballRadius * np.random.randn(NBVECS, 2)
130 angle = 2.0 * math.pi * np.random.randn(1, NBVECS)
131 radius = 3.0 + 0.1 * np.random.randn(1, NBVECS)
133 xa = np.zeros((NBVECS,2))
134 xa[:, 0] = radius * np.cos(angle)
135 xa[:, 1] = radius * np.sin(angle)
137 X_train = np.concatenate((x, xa))
138 Y_train = np.concatenate((np.zeros(NBVECS), np.ones(NBVECS)))
143 test1 = np.array([0.4,0.1])
149 test2 = np.array([3.1,0.1])
180 test1 = np.array([0.4,0.1])
184 test2 = np.array([3.1,0.1])