WRG: use const variable

Modules/Learning/Supervised/test/otbMachineLearningRegressionTests.cxx

@@ -253,7 +253,7 @@ int otbLibSVMRegressionTests(int itkNotUsed(argc),
   param.vMin = -0.5;
   param.vMax = 0.5;
   param.count = 200;
-  param.eps = 0.1;
+  param.eps = epsilon;
 
   std::cout << "Testing regression on a linear monovariate function" << std::endl;
   LinearFunctionSampleGenerator<PrecisionType> lfsg(2.0, 1.0);
@@ -328,7 +328,7 @@ int otbNeuralNetworkRegressionTests(int itkNotUsed(argc),
   param.vMin = -0.5;
   param.vMax = 0.5;
   param.count = 20000;
-  param.eps = 0.1;
+  param.eps = epsilon;
 
   std::cout << "Testing regression on a linear monovariate function" << std::endl;
   LinearFunctionSampleGenerator<PrecisionType> lfsg(2.0, 1.0);
@@ -392,7 +392,7 @@ int otbSVMRegressionTests(int itkNotUsed(argc),
   param.vMin = -0.5;
   param.vMax = 0.5;
   param.count = 200;
-  param.eps = 0.1;
+  param.eps = epsilon;
 
   std::cout << "Testing regression on a linear monovariate function" << std::endl;
   LinearFunctionSampleGenerator<PrecisionType> lfsg(2.0, 1.0);
@@ -449,7 +449,7 @@ int otbDecisionTreeRegressionTests(int itkNotUsed(argc),
   param.vMin = -0.5;
   param.vMax = 0.5;
   param.count = 200;
-  param.eps = 0.1;
+  param.eps = epsilon;
 
   std::cout << "Testing regression on a linear monovariate function" << std::endl;
   LinearFunctionSampleGenerator<PrecisionType> lfsg(2.0, 1.0);
@@ -511,7 +511,7 @@ int otbGradientBoostedTreeRegressionTests(int itkNotUsed(argc),
   param.vMin = -0.5;
   param.vMax = 0.5;
   param.count = 200;
-  param.eps = 0.1;
+  param.eps = epsilon;
 
   std::cout << "Testing regression on a linear monovariate function" << std::endl;
   LinearFunctionSampleGenerator<PrecisionType> lfsg(2.0, 1.0);
@@ -572,7 +572,7 @@ int otbKNearestNeighborsRegressionTests(int itkNotUsed(argc),
   param.vMin = -0.5;
   param.vMax = 0.5;
   param.count = 200;
-  param.eps = 0.1;
+  param.eps = epsilon;
 
   std::cout << "Testing regression on a linear monovariate function" << std::endl;
   LinearFunctionSampleGenerator<PrecisionType> lfsg(2.0, 1.0);
@@ -630,7 +630,7 @@ int otbRandomForestsRegressionTests(int itkNotUsed(argc),
   param.vMin = -0.5;
   param.vMax = 0.5;
   param.count = 200;
-  param.eps = 0.1;
+  param.eps = epsilon;
 
   std::cout << "Testing regression on a linear monovariate function" << std::endl;
   LinearFunctionSampleGenerator<PrecisionType> lfsg(2.0, 1.0);