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Implemented Mapping framework and associated linear and kernel mappings. This is needed for mean functions, back constrained GPLVM and the non-stationary Gibbs kernel.

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Neil Lawrence 2013-08-28 13:51:50 +02:00
parent 84b7156d23
commit d31b5a7c55
12 changed files with 353 additions and 12 deletions
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4
GPy/models/gplvm.py
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@ -30,8 +30,8 @@ class GPLVM(GP):
if X is None:
X = self.initialise_latent(init, input_dim, Y)
if kernel is None:
kernel = kern.rbf(input_dim, ARD=input_dim > 1) + kern.bias(input_dim, np.exp(-2)) + kern.white(input_dim, np.exp(-2))
likelihood = Gaussian(Y, normalize=normalize_Y)
kernel = kern.rbf(input_dim, ARD=input_dim > 1) + kern.bias(input_dim, np.exp(-2))
likelihood = Gaussian(Y, normalize=normalize_Y, variance=np.exp(-2.))
GP.__init__(self, X, likelihood, kernel, normalize_X=False)
self.ensure_default_constraints()