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[bgplvm] init lengthscale as 0./var

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mzwiessele 2014-05-13 09:33:35 +01:00
parent 8ff4a42d1a
commit f110bbd4c8
2 changed files with 4 additions and 4 deletions
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2
GPy/models/bayesian_gplvm.py
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@ -42,7 +42,7 @@ class BayesianGPLVM(SparseGP):
assert Z.shape[1] == X.shape[1] assert Z.shape[1] == X.shape[1]
if kernel is None: if kernel is None:
kernel = kern.RBF(input_dim, lengthscale=fracs, ARD=True) # + kern.white(input_dim) kernel = kern.RBF(input_dim, lengthscale=1./fracs, ARD=True) # + kern.white(input_dim)
if likelihood is None: if likelihood is None:
likelihood = Gaussian() likelihood = Gaussian()

6
GPy/util/initialization.py
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@ -13,11 +13,11 @@ def initialize_latent(init, input_dim, Y):
p = pca(Y) p = pca(Y)
PC = p.project(Y, min(input_dim, Y.shape[1])) PC = p.project(Y, min(input_dim, Y.shape[1]))
Xr[:PC.shape[0], :PC.shape[1]] = PC Xr[:PC.shape[0], :PC.shape[1]] = PC
vars = p.fracs[:input_dim] var = p.fracs[:input_dim]
else: else:
vars = Xr.var(0) var = Xr.var(0)
Xr -= Xr.mean(0) Xr -= Xr.mean(0)
Xr /= Xr.var(0) Xr /= Xr.var(0)
return Xr, vars/vars.max() return Xr, var/var.max()