diff --git a/gtsam_unstable/slam/SmartStereoProjectionFactorPP.h b/gtsam_unstable/slam/SmartStereoProjectionFactorPP.h
index 6db6b6dfa..870be34d6 100644
--- a/gtsam_unstable/slam/SmartStereoProjectionFactorPP.h
+++ b/gtsam_unstable/slam/SmartStereoProjectionFactorPP.h
@@ -205,9 +205,9 @@ class SmartStereoProjectionFactorPP : public SmartStereoProjectionFactor {
     std::vector<Matrix> Gs(numKeys * (numKeys + 1) / 2);
     std::vector<Vector> gs(numKeys);
 
-    for(size_t i=0; i<numKeys;i++){
-      std::cout <<"key: " << DefaultKeyFormatter(allKeys[i]) << std::endl;
-    }
+//    for(size_t i=0; i<numKeys;i++){
+//      std::cout <<"key: " << DefaultKeyFormatter(allKeys[i]) << std::endl;
+//    }
 
     if (this->measured_.size() != cameras(values).size())
       throw std::runtime_error("SmartStereoProjectionHessianFactor: this->"
@@ -264,7 +264,7 @@ class SmartStereoProjectionFactorPP : public SmartStereoProjectionFactor {
     std::fill(dims.begin(), dims.end() - 1, 6);
     dims.back() = 1;
     SymmetricBlockMatrix augmentedHessianPP(dims, Matrix(augmentedHessian.selfadjointView()));
-    std::cout << "Matrix(augmentedHessian.selfadjointView()) \n" << Matrix(augmentedHessian.selfadjointView()) <<std::endl;
+    //std::cout << "Matrix(augmentedHessian.selfadjointView()) \n" << Matrix(augmentedHessian.selfadjointView()) <<std::endl;
 
     return boost::make_shared<RegularHessianFactor<DimPose> >(allKeys,
                                                           augmentedHessianPP);
diff --git a/gtsam_unstable/slam/tests/testSmartStereoProjectionFactorPP.cpp b/gtsam_unstable/slam/tests/testSmartStereoProjectionFactorPP.cpp
index 21c7c8b79..1972bad1a 100644
--- a/gtsam_unstable/slam/tests/testSmartStereoProjectionFactorPP.cpp
+++ b/gtsam_unstable/slam/tests/testSmartStereoProjectionFactorPP.cpp
@@ -698,11 +698,11 @@ TEST( SmartStereoProjectionFactorPP, 3poses_smart_projection_factor_optimization
 
   EXPECT_DOUBLES_EQUAL(0, graph.error(result), 1e-5);
 
-  GaussianFactorGraph::shared_ptr GFG = graph.linearize(result);
-  GFG->print("GFG \n");
-  VectorValues delta = GFG->optimize();
-  VectorValues expected = VectorValues::Zero(delta);
-  EXPECT(assert_equal(expected, delta, 1e-6));
+//  GaussianFactorGraph::shared_ptr GFG = graph.linearize(result);
+//  // GFG->print("GFG \n");
+//  VectorValues delta = GFG->optimize();
+//  VectorValues expected = VectorValues::Zero(delta);
+//  EXPECT(assert_equal(expected, delta, 1e-6));
 }
 
 /* *************************************************************************