[opengm] 294/386: minor fix

[Ghislain Vaillant]

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

commit 442228dc4b9bba2df88bc128f74ce2fd34c27797
Author: DerThorsten <thorsten.beier at iwr.uni-heidelberg.de>
Date:   Mon Nov 9 09:08:21 2015 +0100

    minor fix
---
 src/interfaces/python/opengm/learning/CMakeLists.txt | 2 +-
 src/interfaces/python/opengm/learning/learning.cxx   | 6 +++---
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/interfaces/python/opengm/learning/CMakeLists.txt b/src/interfaces/python/opengm/learning/CMakeLists.txt
index 05bc47c..a594ea4 100644
--- a/src/interfaces/python/opengm/learning/CMakeLists.txt
+++ b/src/interfaces/python/opengm/learning/CMakeLists.txt
@@ -24,7 +24,7 @@ set(PY_OPENGM_CORE_SOURCES
             pyDataset.cxx
             pyLoss.cxx
             pyGridSearchLearner.cxx
-            pyMaxLikelihoodLearner.cxx
+            #pyMaxLikelihoodLearner.cxx
             pyStructMaxMarginLearner.cxx
             pySubgradientSSVM.cxx
             pyStructPerceptron.cxx
diff --git a/src/interfaces/python/opengm/learning/learning.cxx b/src/interfaces/python/opengm/learning/learning.cxx
index a45d3a9..195b2ac 100644
--- a/src/interfaces/python/opengm/learning/learning.cxx
+++ b/src/interfaces/python/opengm/learning/learning.cxx
@@ -37,8 +37,8 @@ namespace opengm{
     template<class DATASET, class OPTIMIZER>
     void export_struct_max_margin_bundle_learner(const std::string & clsName);
 
-    template<class DATASET>
-    void export_max_likelihood_learner(const std::string & clsName);
+    //template<class DATASET>
+    //void export_max_likelihood_learner(const std::string & clsName);
 
     template<class DATASET>
     void export_struct_perceptron_learner(const std::string & clsName);
@@ -82,7 +82,7 @@ BOOST_PYTHON_MODULE_INIT(_learning) {
     opengm::export_grid_search_learner<op::GmAdderFlexibleLossDataset>("GridSearch_FlexibleLoss");
     opengm::export_struct_perceptron_learner<op::GmAdderFlexibleLossDataset>("StructPerceptron_FlexibleLoss");
     opengm::export_subgradient_ssvm_learner<op::GmAdderFlexibleLossDataset>("SubgradientSSVM_FlexibleLoss");
-    opengm::export_max_likelihood_learner<op::GmAdderFlexibleLossDataset>("MaxLikelihood_FlexibleLoss");
+    //opengm::export_max_likelihood_learner<op::GmAdderFlexibleLossDataset>("MaxLikelihood_FlexibleLoss");
     opengm::export_rws_learner<op::GmAdderFlexibleLossDataset>("Rws_FlexibleLoss");
     
     #if defined(WITH_CPLEX) || defined(WITH_GUROBI)

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