[mlpack-git] master: Reinclude dual-tree cover tree test for k-means. (6c7ac8c)
gitdub at big.cc.gt.atl.ga.us
gitdub at big.cc.gt.atl.ga.us
Wed May 20 23:06:12 EDT 2015
Repository : https://github.com/mlpack/mlpack
On branch : master
Link : https://github.com/mlpack/mlpack/compare/77d750c8fd46140b1d6060424f68768a21c89377...7e9cd46afb53817ae93ccbd02637d7726137ce4d
>---------------------------------------------------------------
commit 6c7ac8c0e81ab52cf9f0ac7b55da403beb207fdd
Author: Ryan Curtin <ryan at ratml.org>
Date: Wed May 20 10:16:26 2015 -0400
Reinclude dual-tree cover tree test for k-means.
>---------------------------------------------------------------
6c7ac8c0e81ab52cf9f0ac7b55da403beb207fdd
src/mlpack/tests/kmeans_test.cpp | 9 ++++-----
1 file changed, 4 insertions(+), 5 deletions(-)
diff --git a/src/mlpack/tests/kmeans_test.cpp b/src/mlpack/tests/kmeans_test.cpp
index 9d40e7f..0a1ab1e 100644
--- a/src/mlpack/tests/kmeans_test.cpp
+++ b/src/mlpack/tests/kmeans_test.cpp
@@ -631,10 +631,10 @@ BOOST_AUTO_TEST_CASE(DTNNTest)
BOOST_AUTO_TEST_CASE(DTNNCoverTreeTest)
{
-// const size_t trials = 5;
+ const size_t trials = 5;
-// for (size_t t = 0; t < trials; ++t)
-// {
+ for (size_t t = 0; t < trials; ++t)
+ {
arma::mat dataset(10, 1000);
dataset.randu();
@@ -649,7 +649,7 @@ BOOST_AUTO_TEST_CASE(DTNNCoverTreeTest)
KMeans<metric::EuclideanDistance, RandomPartition, MaxVarianceNewCluster,
CoverTreeDualTreeKMeans> dtnn;
-/* arma::Col<size_t> dtnnAssignments;
+ arma::Col<size_t> dtnnAssignments;
arma::mat dtnnCentroids(centroids);
dtnn.Cluster(dataset, k, dtnnAssignments, dtnnCentroids, false, true);
@@ -659,7 +659,6 @@ BOOST_AUTO_TEST_CASE(DTNNCoverTreeTest)
for (size_t i = 0; i < centroids.n_elem; ++i)
BOOST_REQUIRE_CLOSE(naiveCentroids[i], dtnnCentroids[i], 1e-5);
}
-*/
}
BOOST_AUTO_TEST_SUITE_END();
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