diff --git a/GPy/inference/SCG.py b/GPy/inference/SCG.py
index 4224cb3c..c38ef01b 100644
--- a/GPy/inference/SCG.py
+++ b/GPy/inference/SCG.py
@@ -130,7 +130,8 @@ def SCG(f, gradf, x, optargs=(), maxiters=500, max_f_eval=500, display=True, xto
                 # If the gradient is zero then we are done.
                 if current_grad <= gtol:
                     status = 'converged'
-                    return x, flog, function_eval, status
+                    break
+                    # return x, flog, function_eval, status
 
         # Adjust beta according to comparison ratio.
         if Delta < 0.25:
@@ -147,9 +148,10 @@ def SCG(f, gradf, x, optargs=(), maxiters=500, max_f_eval=500, display=True, xto
         elif success:
             gamma = np.dot(gradold - gradnew, gradnew) / (mu)
             d = gamma * d - gradnew
+    else:
+        # If we get here, then we haven't terminated in the given number of
+        # iterations.
+        status = "maxiter exceeded"
 
-    # If we get here, then we haven't terminated in the given number of
-    # iterations.
-    status = "maxiter exceeded"
-
+    print ""
     return x, flog, function_eval, status