3 files changed, 3 insertions, 5 deletions
diff --git a/training/mpi_batch_optimize.cc b/training/mpi_batch_optimize.cc
index 046e921c..9f12dba9 100644
--- a/training/mpi_batch_optimize.cc
+++ b/training/mpi_batch_optimize.cc
@@ -29,7 +29,6 @@ namespace mpi = boost::mpi;
 #include "sparse_vector.h"
 
 using namespace std;
-using boost::shared_ptr;
 namespace po = boost::program_options;
 
 bool InitCommandLine(int argc, char** argv, po::variables_map* conf) {
@@ -270,7 +269,7 @@ int main(int argc, char** argv) {
     }
     Weights::InitFromFile(conf["means"].as<string>(), &means);
   }
-  shared_ptr<BatchOptimizer> o;
+  boost::shared_ptr<BatchOptimizer> o;
   if (rank == 0) {
     const string omethod = conf["optimization_method"].as<string>();
     if (omethod == "rprop")
diff --git a/training/mr_optimize_reduce.cc b/training/mr_optimize_reduce.cc
index 15e28fa1..461e6b5f 100644
--- a/training/mr_optimize_reduce.cc
+++ b/training/mr_optimize_reduce.cc
@@ -15,7 +15,6 @@
 #include "sparse_vector.h"
 
 using namespace std;
-using boost::shared_ptr;
 namespace po = boost::program_options;
 
 void SanityCheck(const vector<double>& w) {
@@ -102,7 +101,7 @@ int main(int argc, char** argv) {
     }
     Weights::InitFromFile(conf["means"].as<string>(), &means);
   }
-  shared_ptr<BatchOptimizer> o;
+  boost::shared_ptr<BatchOptimizer> o;
   const string omethod = conf["optimization_method"].as<string>();
   if (omethod == "rprop")
     o.reset(new RPropOptimizer(num_feats));  // TODO add configuration
diff --git a/training/optimize_test.cc b/training/optimize_test.cc
index fe7ca70f..bff2ca03 100644
--- a/training/optimize_test.cc
+++ b/training/optimize_test.cc
@@ -102,7 +102,7 @@ void TestOnline() {
   size_t N = 20;
   double C = 1.0;
   double eta0 = 0.2;
-  shared_ptr<LearningRateSchedule> r(new ExponentialDecayLearningRate(N, eta0, 0.85));
+  std::tr1::shared_ptr<LearningRateSchedule> r(new ExponentialDecayLearningRate(N, eta0, 0.85));
   //shared_ptr<LearningRateSchedule> r(new StandardLearningRate(N, eta0));
   CumulativeL1OnlineOptimizer opt(r, N, C, std::vector<int>());
   assert(r->eta(10) < r->eta(1));