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modified: GPy/models/GPLVM.py

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Using the following kernel by default:
kernel = kern.rbf(Q, ARD=Q>1) + kern.bias(Q, np.exp(-2)) + kern.white(Q, np.exp(-2))
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Teo de Campos 2013-05-16 17:13:39 +01:00
parent ea34f8c949
commit 3fc14bb416
1 changed files with 1 additions and 1 deletions
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GPy/models/GPLVM.py
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@ -28,7 +28,7 @@ class GPLVM(GP):
if X is None: if X is None:
X = self.initialise_latent(init, Q, Y) X = self.initialise_latent(init, Q, Y)
if kernel is None: if kernel is None:
kernel = kern.rbf(Q) + kern.bias(Q) kernel = kern.rbf(Q, ARD=Q>1) + kern.bias(Q, np.exp(-2)) + kern.white(Q, np.exp(-2))
likelihood = Gaussian(Y, normalize=normalize_Y) likelihood = Gaussian(Y, normalize=normalize_Y)
GP.__init__(self, X, likelihood, kernel, **kwargs) GP.__init__(self, X, likelihood, kernel, **kwargs)