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lots of bugfixes after refactoring
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12 changed files with 53 additions and 53 deletions
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@ -42,13 +42,13 @@ class GPLVM(GP):
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return np.random.randn(Y.shape[0], input_dim)
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def _get_param_names(self):
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return sum([['X_%i_%i'%(n,q) for q in range(self.input_dim)] for n in range(self.N)],[]) + GP._get_param_names(self)
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return sum([['X_%i_%i'%(n,q) for q in range(self.input_dim)] for n in range(self.num_data)],[]) + GP._get_param_names(self)
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def _get_params(self):
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return np.hstack((self.X.flatten(), GP._get_params(self)))
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def _set_params(self,x):
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self.X = x[:self.N*self.input_dim].reshape(self.N,self.input_dim).copy()
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self.X = x[:self.num_data*self.input_dim].reshape(self.num_data,self.input_dim).copy()
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GP._set_params(self, x[self.X.size:])
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def _log_likelihood_gradients(self):
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