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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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@ -28,14 +28,14 @@ class SparseGPLVM(SparseGPRegression, GPLVM):
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SparseGPRegression.__init__(self, X, Y, kernel=kernel, num_inducing=num_inducing)
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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)], [])
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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)], [])
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+ SparseGPRegression._get_param_names(self))
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def _get_params(self):
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return np.hstack((self.X.flatten(), SparseGPRegression._get_params(self)))
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def _set_params(self, x):
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self.X = x[:self.X.size].reshape(self.N, self.input_dim).copy()
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self.X = x[:self.X.size].reshape(self.num_data, self.input_dim).copy()
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SparseGPRegression._set_params(self, x[self.X.size:])
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def log_likelihood(self):
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