From 23120c53e2670de8b9c17fa6a75e87cb60be24ef Mon Sep 17 00:00:00 2001
From: Zhenwen Dai <z.dai@sheffield.ac.uk>
Date: Wed, 6 Aug 2014 11:10:34 +0100
Subject: [PATCH] remove prints

---
 GPy/inference/optimization/hmc.py | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/GPy/inference/optimization/hmc.py b/GPy/inference/optimization/hmc.py
index 783aadc7..859877f2 100644
--- a/GPy/inference/optimization/hmc.py
+++ b/GPy/inference/optimization/hmc.py
@@ -28,14 +28,11 @@ class HMC:
             H_new = self._computeH()
 
             k = np.exp(H_old-H_new)
-            print H_old,H_new
-            print k
             a = np.random.rand()
             if a<k:
                 thetas[i] = self.model.optimizer_array
                 ps[i] = self.p
             else:
-                print '###'
                 thetas[i] = theta_old
                 ps[i] = p_old
                 self.model.optimizer_array = theta_old
@@ -45,7 +42,6 @@ class HMC:
         for i in xrange(hmc_iters):
             self.p[:] += -self.stepsize/2.*self.model._transform_gradients(self.model.objective_function_gradients())
             self.model.optimizer_array = self.model.optimizer_array + self.stepsize*np.dot(self.Minv, self.p)
-            print self.model.objective_function()
             self.p[:] += -self.stepsize/2.*self.model._transform_gradients(self.model.objective_function_gradients())
 
     def _computeH(self,):