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BGPLVM example correction

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Max Zwiessele 2013-07-17 17:43:45 +01:00
parent fa523c3fce
commit 0909ec30bc
1 changed files with 1 additions and 2 deletions
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3
GPy/examples/dimensionality_reduction.py
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@ -24,7 +24,7 @@ def BGPLVM(seed=default_seed):
Y = np.random.multivariate_normal(np.zeros(N), K, Q).T Y = np.random.multivariate_normal(np.zeros(N), K, Q).T
lik = Gaussian(Y, normalize=True) lik = Gaussian(Y, normalize=True)
k = GPy.kern.rbf_inv(Q, ARD=True) + GPy.kern.bias(Q) + GPy.kern.white(Q) k = GPy.kern.rbf(Q, ARD=True) + GPy.kern.bias(Q) + GPy.kern.white(Q)
# k = GPy.kern.rbf(Q) + GPy.kern.bias(Q) + GPy.kern.white(Q, 0.00001) # k = GPy.kern.rbf(Q) + GPy.kern.bias(Q) + GPy.kern.white(Q, 0.00001)
# k = GPy.kern.rbf(Q, ARD = False) + GPy.kern.white(Q, 0.00001) # k = GPy.kern.rbf(Q, ARD = False) + GPy.kern.white(Q, 0.00001)
@ -145,7 +145,6 @@ def BGPLVM_oil(optimize=True, N=200, Q=10, num_inducing=15, max_iters=150, plot=
# create simple GP model # create simple GP model
kernel = GPy.kern.rbf_inv(Q, ARD=True) + GPy.kern.bias(Q, np.exp(-2)) + GPy.kern.white(Q, np.exp(-2)) kernel = GPy.kern.rbf_inv(Q, ARD=True) + GPy.kern.bias(Q, np.exp(-2)) + GPy.kern.white(Q, np.exp(-2))
kernel += GPy.kern.rbf_inv(Q, ARD=True) + GPy.kern.bias(Q, np.exp(-2)) + GPy.kern.white(Q, np.exp(-2))
Y = data['X'][:N] Y = data['X'][:N]
Yn = Y - Y.mean(0) Yn = Y - Y.mean(0)
Yn /= Yn.std(0) Yn /= Yn.std(0)