[opengm] 300/386: max. lh learning test less time consuming

[Ghislain Vaillant]

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ghisvail-guest pushed a commit to branch debian/master
in repository opengm.

commit 59b9c35e0d77cab47bba4f73884cbd6cf4f29054
Author: DerThorsten <thorsten.beier at iwr.uni-heidelberg.de>
Date:   Thu Dec 10 17:29:45 2015 -0300

    max. lh learning test less time consuming
---
 src/unittest/learning/test_maximum_likelihood_learner.cxx | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/unittest/learning/test_maximum_likelihood_learner.cxx b/src/unittest/learning/test_maximum_likelihood_learner.cxx
index 58b2862..ff976a4 100644
--- a/src/unittest/learning/test_maximum_likelihood_learner.cxx
+++ b/src/unittest/learning/test_maximum_likelihood_learner.cxx
@@ -63,7 +63,7 @@ int main() {
       DS1 dataset;
       std::cout << "Dataset includes " << dataset.getNumberOfModels() << " instances and has " << dataset.getNumberOfWeights() << " parameters."<<std::endl;
       opengm::learning::MaximumLikelihoodLearner<DS1>::Parameter parameter;
-      parameter.maximumNumberOfIterations_ = 150;
+      parameter.maximumNumberOfIterations_ = 15;
       parameter.gradientStepSize_ = 0.1;
       parameter.weightStoppingCriteria_ = 0.001;
       parameter.gradientStoppingCriteria_ = 0.00000000001;
@@ -85,7 +85,7 @@ int main() {
       DS2 dataset;
       std::cout << "Dataset includes " << dataset.getNumberOfModels() << " instances and has " << dataset.getNumberOfWeights() << " parameters."<<std::endl;
       opengm::learning::MaximumLikelihoodLearner<DS2>::Parameter parameter;
-      parameter.maximumNumberOfIterations_ = 150;
+      parameter.maximumNumberOfIterations_ = 15;
       parameter.gradientStepSize_ = 0.1;
       parameter.weightStoppingCriteria_ = 0.001;
       parameter.gradientStoppingCriteria_ = 0.00000000001;

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