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fix ss_mrd and fix white and bias kernel

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Zhenwen Dai 2014-07-01 13:16:57 +01:00
parent 2c88528ebd
commit 129985998c
4 changed files with 21 additions and 17 deletions
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11
GPy/models/ss_mrd.py
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@ -15,14 +15,17 @@ class SSMRD(Model):
self.updates = False
self.models = [SSGPLVM(y, input_dim, X=X, X_variance=X_variance, num_inducing=num_inducing,Z=Z,init=initx,
kernel=kernel if kernel else None,inference_method=inference_method,likelihood=likelihoods,
kernel=kernel.copy() if kernel else None,inference_method=inference_method,likelihood=likelihoods,
name='model_'+str(i)) for i,y in enumerate(Ylist)]
self.add_parameters(*(self.models))
[[[self.models[m].X.mean[i,j:j+1].tie('mean_'+str(i)+'_'+str(j)) for m in xrange(len(self.models))] for j in xrange(self.models[0].X.mean.shape[1])]
for i in xrange(self.models[0].X.mean.shape[0])]
[[[self.models[m].X.variance[i,j:j+1].tie('var_'+str(i)+'_'+str(j)) for m in xrange(len(self.models))] for j in xrange(self.models[0].X.variance.shape[1])]
for i in xrange(self.models[0].X.variance.shape[0])]
self.updates = True
[[self.models[j].X.mean.flat[i:i+1].tie('mean_'+str(i)) for j in xrange(len(self.models))] for i in xrange(self.models[0].X.mean.size)]
[[self.models[j].X.variance.flat[i:i+1].tie('var_'+str(i)) for j in xrange(len(self.models))] for i in xrange(self.models[0].X.variance.size)]
def parameters_changed(self):
super(SSMRD, self).parameters_changed()
self._log_marginal_likelihood = sum([m._log_marginal_likelihood for m in self.models])