[predict] using gp predict in sparse gp and predictive variable

This commit is contained in:
Max Zwiessele 2015-09-07 14:11:01 +01:00
parent 63e1fa05e4
commit 78257d2314
2 changed files with 25 additions and 24 deletions

View file

@ -205,7 +205,7 @@ class GP(Model):
if kern is None:
kern = self.kern
Kx = kern.K(self.X, Xnew)
Kx = kern.K(self._predictive_variable, Xnew)
mu = np.dot(Kx.T, self.posterior.woodbury_vector)
if len(mu.shape)==1:
mu = mu.reshape(-1,1)