first adjustments to the model and gps -> updates and gradient transforms

This commit is contained in:
Max Zwiessele 2013-10-22 13:40:46 +01:00
parent d12f055115
commit 9a70f27010
4 changed files with 43 additions and 34 deletions

View file

@ -31,7 +31,7 @@ class GPRegression(GP):
likelihood = likelihoods.Gaussian(Y, normalize=normalize_Y)
GP.__init__(self, X, likelihood, kernel, normalize_X=normalize_X)
super(GPRegression, self).__init__(X, likelihood, kernel, normalize_X=normalize_X)
self.ensure_default_constraints()
def getstate(self):