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Andreas 2013-07-15 20:57:17 +01:00
parent 2af17be146
commit 6a5c1c03d3
1 changed files with 4 additions and 4 deletions
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8
GPy/examples/regression.py
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@ -67,8 +67,8 @@ def toy_ARD(optim_iters=1000, kernel_type='linear', N=300, D=4):
X4 = np.log(np.sort(np.random.rand(N,1),0))
X = np.hstack((X1, X2, X3, X4))
Y1 = np.asmatrix(2*X[:,0]+3).T
Y2 = np.asmatrix(4*(X[:,2]-1.5*X[:,0])).T
Y1 = np.asarray(2*X[:,0]+3).T
Y2 = np.asarray(4*(X[:,2]-1.5*X[:,0])).T
Y = np.hstack((Y1, Y2))
Y = np.dot(Y, np.random.rand(2,D));
@ -103,8 +103,8 @@ def toy_ARD_sparse(optim_iters=1000, kernel_type='linear', N=300, D=4):
X4 = np.log(np.sort(np.random.rand(N,1),0))
X = np.hstack((X1, X2, X3, X4))
Y1 = np.asmatrix(2*X[:,0]+3).T
Y2 = np.asmatrix(4*(X[:,2]-1.5*X[:,0])).T
Y1 = np.asarray(2*X[:,0]+3)[:,None]
Y2 = np.asarray(4*(X[:,2]-1.5*X[:,0]))[:,None]
Y = np.hstack((Y1, Y2))
Y = np.dot(Y, np.random.rand(2,D));