[mlpack-git] master: Widen tolerance for norm difference, and tweak parameters a little bit. (6d46f1d)
gitdub at big.cc.gt.atl.ga.us
gitdub at big.cc.gt.atl.ga.us
Thu Mar 5 22:04:34 EST 2015
Repository : https://github.com/mlpack/mlpack
On branch : master
Link : https://github.com/mlpack/mlpack/compare/904762495c039e345beba14c1142fd719b3bd50e...f94823c800ad6f7266995c700b1b630d5ffdcf40
>---------------------------------------------------------------
commit 6d46f1d0fbca0e43897e9863edbda2d2706c520e
Author: Ryan Curtin <ryan at ratml.org>
Date: Wed Dec 3 02:44:41 2014 +0000
Widen tolerance for norm difference, and tweak parameters a little bit.
>---------------------------------------------------------------
6d46f1d0fbca0e43897e9863edbda2d2706c520e
src/mlpack/tests/svd_batch_test.cpp | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/src/mlpack/tests/svd_batch_test.cpp b/src/mlpack/tests/svd_batch_test.cpp
index 95db81e..a845899 100644
--- a/src/mlpack/tests/svd_batch_test.cpp
+++ b/src/mlpack/tests/svd_batch_test.cpp
@@ -160,14 +160,14 @@ BOOST_AUTO_TEST_CASE(SVDBatchNegativeElementTest)
RandomInitialization,
SVDBatchLearning> amf(SimpleToleranceTermination<mat>(),
RandomInitialization(),
- SVDBatchLearning(0.3, 0.001, 0.001, 0));
+ SVDBatchLearning(0.1, 0.001, 0.001, 0));
mat m1, m2;
amf.Apply(test, 3, m1, m2);
arma::mat result = m1 * m2;
- // 2% tolerance on the norm.
- BOOST_REQUIRE_CLOSE(arma::norm(test, "fro"), arma::norm(result, "fro"), 2.0);
+ // 5% tolerance on the norm.
+ BOOST_REQUIRE_CLOSE(arma::norm(test, "fro"), arma::norm(result, "fro"), 5.0);
}
BOOST_AUTO_TEST_SUITE_END();
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