[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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