[mlpack-git] master: Make some test sets smaller for speed. (d9d69fc)
gitdub at big.cc.gt.atl.ga.us
gitdub at big.cc.gt.atl.ga.us
Mon Oct 19 16:04:58 EDT 2015
Repository : https://github.com/mlpack/mlpack
On branch : master
Link : https://github.com/mlpack/mlpack/compare/09cd0d67f2fdae252a8ab85324e71dbb4dfe0010...fecf1194c123ced12d56e7daad761c7b9aaac262
>---------------------------------------------------------------
commit d9d69fcc7f402473465557b565dd2bb105bb6ad2
Author: Ryan Curtin <ryan at ratml.org>
Date: Mon Oct 19 14:17:40 2015 -0400
Make some test sets smaller for speed.
>---------------------------------------------------------------
d9d69fcc7f402473465557b565dd2bb105bb6ad2
src/mlpack/tests/allknn_test.cpp | 12 ++++++------
1 file changed, 6 insertions(+), 6 deletions(-)
diff --git a/src/mlpack/tests/allknn_test.cpp b/src/mlpack/tests/allknn_test.cpp
index cf22d5e..1ef3620 100644
--- a/src/mlpack/tests/allknn_test.cpp
+++ b/src/mlpack/tests/allknn_test.cpp
@@ -765,7 +765,7 @@ BOOST_AUTO_TEST_CASE(DualCoverTreeTest)
BOOST_AUTO_TEST_CASE(SingleBallTreeTest)
{
arma::mat data;
- data.randu(75, 1000); // 75 dimensional, 1000 points.
+ data.randu(50, 300); // 50 dimensional, 300 points.
typedef BallTree<EuclideanDistance, NeighborSearchStat<NearestNeighborSort>,
arma::mat> TreeType;
@@ -832,9 +832,9 @@ BOOST_AUTO_TEST_CASE(SparseAllkNNKDTreeTest)
// 70, the probability of all 70 dimensions being zero is 0.8^70 = 1.65e-7 in
// the reference set and 0.9^70 = 6.27e-4 in the query set.
arma::sp_mat queryDataset;
- queryDataset.sprandu(70, 500, 0.2);
+ queryDataset.sprandu(70, 200, 0.2);
arma::sp_mat referenceDataset;
- referenceDataset.sprandu(70, 800, 0.1);
+ referenceDataset.sprandu(70, 500, 0.1);
arma::mat denseQuery(queryDataset);
arma::mat denseReference(referenceDataset);
@@ -907,8 +907,8 @@ BOOST_AUTO_TEST_CASE(KNNModelTest)
// results.
typedef NSModel<NearestNeighborSort> KNNModel;
- arma::mat queryData = arma::randu<arma::mat>(10, 100);
- arma::mat referenceData = arma::randu<arma::mat>(10, 500);
+ arma::mat queryData = arma::randu<arma::mat>(10, 50);
+ arma::mat referenceData = arma::randu<arma::mat>(10, 200);
// Build all the possible models.
KNNModel models[8];
@@ -967,7 +967,7 @@ BOOST_AUTO_TEST_CASE(KNNModelMonochromaticTest)
// results, in the case where the reference set is the same as the query set.
typedef NSModel<NearestNeighborSort> KNNModel;
- arma::mat referenceData = arma::randu<arma::mat>(10, 500);
+ arma::mat referenceData = arma::randu<arma::mat>(10, 200);
// Build all the possible models.
KNNModel models[8];
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