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non-working grads in linear

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James Hensman 2014-02-21 11:25:33 +00:00
parent 81e0861a60
commit 0dc9a32ba3
3 changed files with 14 additions and 11 deletions
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2
GPy/examples/dimensionality_reduction.py
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@ -25,7 +25,7 @@ def bgplvm_test_model(optimize=False, verbose=1, plot=False, output_dim=200, nan
#k = (GPy.kern.RBF(input_dim, .5, lengthscales, ARD=True)
##+ GPy.kern.white(input_dim, 0.01)
#)
k = GPy.kern.Linear(input_dim)# + GPy.kern.bias(input_dim) + GPy.kern.white(input_dim, 0.00001)
k = GPy.kern.Linear(input_dim, ARD=1)# + GPy.kern.bias(input_dim) + GPy.kern.white(input_dim, 0.00001)
K = k.K(X)
Y = _np.random.multivariate_normal(_np.zeros(num_inputs), K, (output_dim,)).T