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added print m and print m.all differentiation
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5 changed files with 47 additions and 13 deletions
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@ -194,6 +194,9 @@ class SparseGP(GPBase):
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return sum([['iip_%i_%i' % (i, j) for j in range(self.Z.shape[1])] for i in range(self.Z.shape[0])], [])\
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+ self.kern._get_param_names_transformed() + self.likelihood._get_param_names()
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def _get_print_names(self):
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return self.kern._get_param_names_transformed() + self.likelihood._get_param_names()
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def update_likelihood_approximation(self):
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"""
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Approximates a non-gaussian likelihood using Expectation Propagation
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