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authorPatrick Simianer <p@simianer.de>2013-11-13 18:12:10 +0100
committerPatrick Simianer <p@simianer.de>2013-11-13 18:12:10 +0100
commit062d8af12f2bcad39c47b42295b69f44f878768f (patch)
treea455fb5dd1a3c01ca3fa6e2ddd5e368040e32eaa /training/utils/optimize_test.cc
parentb8bf706976720527b455eb665fe94f907e372b65 (diff)
parentf83186887c94b2ff8b17aefcd0b395f116c09eb6 (diff)
merge w/ upstream
Diffstat (limited to 'training/utils/optimize_test.cc')
-rw-r--r--training/utils/optimize_test.cc6
1 files changed, 2 insertions, 4 deletions
diff --git a/training/utils/optimize_test.cc b/training/utils/optimize_test.cc
index bff2ca03..72fcef6d 100644
--- a/training/utils/optimize_test.cc
+++ b/training/utils/optimize_test.cc
@@ -2,6 +2,7 @@
#include <iostream>
#include <sstream>
#include <boost/program_options/variables_map.hpp>
+#include <boost/shared_ptr.hpp>
#include "optimize.h"
#include "online_optimizer.h"
#include "sparse_vector.h"
@@ -96,14 +97,11 @@ void TestOptimizerVariants(int num_vars) {
cerr << oa.Name() << " SUCCESS\n";
}
-using namespace std::tr1;
-
void TestOnline() {
size_t N = 20;
double C = 1.0;
double eta0 = 0.2;
- std::tr1::shared_ptr<LearningRateSchedule> r(new ExponentialDecayLearningRate(N, eta0, 0.85));
- //shared_ptr<LearningRateSchedule> r(new StandardLearningRate(N, eta0));
+ boost::shared_ptr<LearningRateSchedule> r(new ExponentialDecayLearningRate(N, eta0, 0.85));
CumulativeL1OnlineOptimizer opt(r, N, C, std::vector<int>());
assert(r->eta(10) < r->eta(1));
}