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first adjustments to the model and gps -> updates and gradient transforms
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4 changed files with 43 additions and 34 deletions
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@ -31,7 +31,7 @@ class GPRegression(GP):
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likelihood = likelihoods.Gaussian(Y, normalize=normalize_Y)
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GP.__init__(self, X, likelihood, kernel, normalize_X=normalize_X)
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super(GPRegression, self).__init__(X, likelihood, kernel, normalize_X=normalize_X)
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self.ensure_default_constraints()
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def getstate(self):
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