[opengm] 187/386: fixed loss return

[Ghislain Vaillant]

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

commit 838308cec6e811d95783ed3de9a3d2fcd831c854
Author: mschiegg <martin.schiegg at iwr.uni-heidelberg.de>
Date:   Fri Dec 19 18:56:36 2014 +0100

    fixed loss return
---
 src/interfaces/python/opengm/learning/__init__.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/interfaces/python/opengm/learning/__init__.py b/src/interfaces/python/opengm/learning/__init__.py
index 0e35706..5a1c95d 100644
--- a/src/interfaces/python/opengm/learning/__init__.py
+++ b/src/interfaces/python/opengm/learning/__init__.py
@@ -22,14 +22,14 @@ def _extendedGetLoss(self, model_idx, infCls, parameter = None):
         import opengm
         parameter = opengm.InfParam()
     cppParam  =  infCls.get_cpp_parameter(operator='adder',accumulator='minimizer',parameter=parameter)
-    self._getLoss(cppParam, model_idx)
+    return self._getLoss(cppParam, model_idx)
 
 def _extendedGetTotalLoss(self, infCls, parameter = None):
     if parameter is None:
         import opengm
         parameter = opengm.InfParam()
     cppParam  =  infCls.get_cpp_parameter(operator='adder',accumulator='minimizer',parameter=parameter)
-    self._getTotalLoss(cppParam)
+    return self._getTotalLoss(cppParam)
 
 GridSearch_HammingLoss.learn  =_extendedLearn
 GridSearch_GeneralizedHammingLoss.learn  =_extendedLearn

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