From a1c088c40ea46ba44c194cac7f734a936459faa5 Mon Sep 17 00:00:00 2001 From: James Hensman Date: Fri, 30 Nov 2012 08:43:45 +0000 Subject: [PATCH] made GP_regression wwork with partial-passed gradients --- GPy/models/GP_regression.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/GPy/models/GP_regression.py b/GPy/models/GP_regression.py index 639fc484..614a10e6 100644 --- a/GPy/models/GP_regression.py +++ b/GPy/models/GP_regression.py @@ -103,7 +103,7 @@ class GP_regression(model): return dL_dK def log_likelihood_gradients(self): - return (self.kern.dK_dtheta(self.X,slices1=self.Xslices)*self.dL_dK()[:,:,None]).sum(0).sum(0) + return self.kern.dK_dtheta(self.X,partial=self.dL_dK()) def predict(self,Xnew, slices=None): """