fixed bug that prevented the smoother from running.

GPy/models/state_space.py

@@ -77,15 +77,15 @@ class StateSpace(Model):
         #return self.kf_likelihood_g(F,L,Qc,self.sigma2,H,Pinf,dF,dQc,dPinf,self.X,self.Y) 
         return False
 
-    def predict_raw(self, Xnew, Y=None, filteronly=False):
+    def predict_raw(self, Xnew, Ynew=None, filteronly=False):
 
         # Set defaults
-        if Y is None:
-            Y = self.Y
+        if Ynew is None:
+            Ynew = self.Y
 
         # Make a single matrix containing training and testing points
         X = np.vstack((self.X, Xnew))
-        Y = np.vstack((Y, np.nan*np.zeros(Xnew.shape)))
+        Y = np.vstack((Ynew, np.nan*np.zeros(Xnew.shape)))
 
         # Sort the matrix (save the order)
         _, return_index, return_inverse = np.unique(X,True,True)
@@ -99,7 +99,7 @@ class StateSpace(Model):
         (M, P) = self.kalman_filter(F,L,Qc,H,self.sigma2,Pinf,X.T,Y.T)
 
         # Run the Rauch-Tung-Striebel smoother
-        if not filter:
+        if not filteronly:
             (M, P) = self.rts_smoother(F,L,Qc,X.T,M,P)
 
         # Put the data back in the original order