apaam/mlpack
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Fix for memory error

Browse Source
This commit is contained in:
nikhilgoel1997
2018-02-05 20:19:32 +05:30
committed by GitHub
parent 286ab59731
commit b598bc8a81
1 changed files with 15 additions and 13 deletions
Download Patch File Download Diff File Expand all files Collapse all files
src/mlpack/tests/main_tests/adaboost_test.cpp
+15 -13
View File
@@ -233,7 +233,7 @@ BOOST_AUTO_TEST_CASE(AdaBoostDiffWeakLearnerOutputTest)
if (!data::Load("vc2_test.csv", testData))
BOOST_FAIL("Unable to load test dataset vc2.csv!");
SetInputParam("training", std::move(trainData));
SetInputParam("training", trainData);
SetInputParam("labels", std::move(labels));
SetInputParam("test", testData);
@@ -251,11 +251,13 @@ BOOST_AUTO_TEST_CASE(AdaBoostDiffWeakLearnerOutputTest)
outputPerceptron = std::move(CLI::GetParam<arma::Row<size_t>>("output"));
for (size_t i = 0; i < output.n_rows; ++i)
{
if (output[i] != outputPerceptron[i])
{
BOOST_REQUIRE_NE(output[i], outputPerceptron[i]);
break;
}
}
}
/**
@@ -281,8 +283,8 @@ BOOST_AUTO_TEST_CASE(AdaBoostDiffItrTest)
BOOST_FAIL("Unable to load labels for vc2__test_labels.txt");
// Iterations = 1
SetInputParam("training", std::move(trainData));
SetInputParam("labels", std::move(labels));
SetInputParam("training", trainData);
SetInputParam("labels", labels);
SetInputParam("weak_learner", std::string("perceptron"));
SetInputParam("iterations", (int) 1);
@@ -297,8 +299,8 @@ BOOST_AUTO_TEST_CASE(AdaBoostDiffItrTest)
double accuracy1 = (double(correct) / double(testLabels.n_elem) * 100);
// Iterations = 10
SetInputParam("training", std::move(trainData));
SetInputParam("labels", std::move(labels));
SetInputParam("training", trainData);
SetInputParam("labels", labels);
SetInputParam("weak_learner", std::string("perceptron"));
SetInputParam("iterations", (int) 10);
@@ -313,8 +315,8 @@ BOOST_AUTO_TEST_CASE(AdaBoostDiffItrTest)
double accuracy10 = (double(correct) / double(testLabels.n_elem) * 100);
// Iterations = 100
SetInputParam("training", std::move(trainData));
SetInputParam("labels", std::move(labels));
SetInputParam("training", trainData);
SetInputParam("labels", labels);
SetInputParam("weak_learner", std::string("perceptron"));
SetInputParam("iterations", (int) 100);
@@ -354,8 +356,8 @@ BOOST_AUTO_TEST_CASE(AdaBoostDiffTolTest)
BOOST_FAIL("Unable to load labels for vc2__test_labels.txt");
// tolerance = 0.001
SetInputParam("training", std::move(trainData));
SetInputParam("labels", std::move(labels));
SetInputParam("training", trainData);
SetInputParam("labels", labels);
SetInputParam("tolerance", (double) 0.001);
mlpackMain();
@@ -369,8 +371,8 @@ BOOST_AUTO_TEST_CASE(AdaBoostDiffTolTest)
double accuracy1 = (double(correct) / double(testLabels.n_elem) * 100);
// tolerance = 0.01
SetInputParam("training", std::move(trainData));
SetInputParam("labels", std::move(labels));
SetInputParam("training", trainData);
SetInputParam("labels", labels);
SetInputParam("tolerance", (double) 0.01);
mlpackMain();
@@ -383,8 +385,8 @@ BOOST_AUTO_TEST_CASE(AdaBoostDiffTolTest)
double accuracy2 = (double(correct) / double(testLabels.n_elem) * 100);
// tolerance = 0.1
SetInputParam("training", std::move(trainData));
SetInputParam("labels", std::move(labels));
SetInputParam("training", trainData);
SetInputParam("labels", labels);
SetInputParam("tolerance", (double) 0.1);
mlpackMain();