[opengm] 30/386: change noise in datasets

[Ghislain Vaillant]

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

commit 7456dd9268e8b11ff2a76cc9d848c035cd0b9b53
Author: joergkappes <kappes at math.uni-heidelberg.de>
Date:   Thu Nov 20 11:51:40 2014 +0100

    change noise in datasets
---
 include/opengm/learning/dataset/testdataset.hxx  | 2 +-
 include/opengm/learning/dataset/testdataset2.hxx | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/include/opengm/learning/dataset/testdataset.hxx b/include/opengm/learning/dataset/testdataset.hxx
index c907293..8504946 100644
--- a/include/opengm/learning/dataset/testdataset.hxx
+++ b/include/opengm/learning/dataset/testdataset.hxx
@@ -54,7 +54,7 @@ namespace opengm {
                   // function
                   const size_t shape[] = {numberOfLabels};
                   ExplicitFunction<ValueType> f(shape, shape + 1);
-                  ValueType val = (double)(gt_[y*64+x]) + (double)(std::rand()) / (double) (RAND_MAX) * 0.75 ;
+                  ValueType val = (double)(gt_[y*64+x]) + (double)(std::rand()) / (double) (RAND_MAX) * 1.5 - 0.75 ;
                   f(0) = std::fabs(val-0);
                   f(1) = std::fabs(val-1);
                   typename GM::FunctionIdentifier fid =  gms_[m].addFunction(f);
diff --git a/include/opengm/learning/dataset/testdataset2.hxx b/include/opengm/learning/dataset/testdataset2.hxx
index 4c71327..630f8b4 100644
--- a/include/opengm/learning/dataset/testdataset2.hxx
+++ b/include/opengm/learning/dataset/testdataset2.hxx
@@ -56,10 +56,10 @@ namespace opengm {
                   const size_t numExperts = 2;
                   const std::vector<size_t> shape(1,numberOfLabels);
                   std::vector<marray::Marray<ValueType> > feat(numExperts,marray::Marray<ValueType>(shape.begin(), shape.end()));
-                  ValueType val0 = (double)(gt_[y*64+x]) + (double)(std::rand()) / (double) (RAND_MAX) * 0.75 ;
+                  ValueType val0 = (double)(gt_[y*64+x]) + (double)(std::rand()) / (double) (RAND_MAX) * 1.0 - 0.5 ;
                   feat[0](0) = std::fabs(val0-0);
                   feat[0](1) = std::fabs(val0-1); 
-                  ValueType val1 = (double)(gt_[y*64+x]) + (double)(std::rand()) / (double) (RAND_MAX) * 1.5 ;
+                  ValueType val1 = (double)(gt_[y*64+x]) + (double)(std::rand()) / (double) (RAND_MAX) * 2.0 - 1.0 ;
                   feat[1](0) = std::fabs(val1-0);
                   feat[1](1) = std::fabs(val1-1);
                   std::vector<size_t> wID(2);

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