[opengm] 116/386: python

[Ghislain Vaillant]

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

commit 39fbb8ef72a7e443b985177744fb6c064b1f8d3c
Author: DerThorsten <thorsten.beier at iwr.uni-heidelberg.de>
Date:   Thu Dec 18 13:31:25 2014 +0100

    python
---
 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 7a93b72..855453b 100644
--- a/src/interfaces/python/opengm/learning/__init__.py
+++ b/src/interfaces/python/opengm/learning/__init__.py
@@ -15,7 +15,7 @@ def _extendedLearn(self, infCls, parameter = None):
     cppParam  =  infCls.get_cpp_parameter(operator='adder',accumulator='minimizer',parameter=parameter)
     self._learn(cppParam)
 
-GridSearch_HammingLossParameter.learn  =_extendedLearn
+GridSearch_HammingLoss.learn  =_extendedLearn
 GridSearch_GeneralizedHammingLoss.learn  =_extendedLearn
         
 def createDataset(loss='hamming', numInstances=0):
@@ -51,7 +51,7 @@ def gridSearchLearner(dataset, lowerBounds, upperBounds, nTestPoints):
     param = leanerParamCls(nr(lowerBounds,dtype='float64'), nr(lowerBounds,dtype='float64'), 
                            nr(lowerBounds,dtype=sizeT_type))
 
-    learner = leanerParamCls(dataset, param)
+    learner = learnerCls(dataset, param)
     return learner
 
 

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