[mlpack] 31/40: Loosen tolerances to prevent spurious test failures.

[Barak A. Pearlmutter]

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in repository mlpack.

commit 2614c3aeb4778a8d494bb9ce0c5220393161041b
Author: Ryan Curtin <ryan at ratml.org>
Date:   Wed Feb 3 14:18:43 2016 -0500

    Loosen tolerances to prevent spurious test failures.
---
 src/mlpack/tests/hmm_test.cpp | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/mlpack/tests/hmm_test.cpp b/src/mlpack/tests/hmm_test.cpp
index ce5235c..6969b0f 100644
--- a/src/mlpack/tests/hmm_test.cpp
+++ b/src/mlpack/tests/hmm_test.cpp
@@ -374,7 +374,7 @@ BOOST_AUTO_TEST_CASE(DiscreteHMMLabeledTrainTest)
 
   // Make sure the initial weights are fine.  They should be equal (or close).
   for (size_t row = 0; row < hmm.Transition().n_rows; ++row)
-    BOOST_REQUIRE_SMALL(hmm.Initial()[row] - 1.0 / 3.0, 0.07);
+    BOOST_REQUIRE_SMALL(hmm.Initial()[row] - 1.0 / 3.0, 0.075);
 
   // We can't use % tolerance here because percent error increases as the actual
   // value gets very small.  So, instead, we just ensure that every value is no
@@ -382,7 +382,7 @@ BOOST_AUTO_TEST_CASE(DiscreteHMMLabeledTrainTest)
   for (size_t row = 0; row < hmm.Transition().n_rows; row++)
     for (size_t col = 0; col < hmm.Transition().n_cols; col++)
       BOOST_REQUIRE_SMALL(hmm.Transition()(row, col) - transition(row, col),
-          0.02);
+          0.025);
 
   for (size_t col = 0; col < hmm.Emission().size(); col++)
   {
@@ -755,9 +755,9 @@ BOOST_AUTO_TEST_CASE(GaussianHMMGenerateTest)
   {
     // Check that the mean is the same.
     BOOST_REQUIRE_SMALL(hmm.Emission()[em].Mean()(0) -
-        hmm2.Emission()[em].Mean()(0), 0.09);
+        hmm2.Emission()[em].Mean()(0), 0.1);
     BOOST_REQUIRE_SMALL(hmm.Emission()[em].Mean()(1) -
-        hmm2.Emission()[em].Mean()(1), 0.09);
+        hmm2.Emission()[em].Mean()(1), 0.1);
 
     // Check that the covariances are the same.
     BOOST_REQUIRE_SMALL(hmm.Emission()[em].Covariance()(0, 0) -

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