Commit 79608724 authored by Christophe Palmann's avatar Christophe Palmann

COMP: fixed small pb

parent a59380ce
......@@ -202,7 +202,7 @@ private:
otbAppLogINFO( "Elapsed: "<< ((double)(toc - tic) / CLOCKS_PER_SEC)<<" seconds.");
#elseif
#else
otbAppLogFATAL("Module LIBSVM is not installed. You should consider turning OTB_USE_LIBSVM on during cmake configuration.");
#endif
......
......@@ -20,13 +20,7 @@
#include <string>
#include <algorithm>
#include <otbMachineLearningModel.h>
#ifdef OTB_USE_LIBSVM
#include "otbLibSVMMachineLearningModel.h"
#endif
#ifdef OTB_USE_OPENCV
#include "otbSVMMachineLearningModel.h"
#include "otbKNearestNeighborsMachineLearningModel.h"
#include "otbRandomForestsMachineLearningModel.h"
......@@ -36,7 +30,6 @@
#include "otbDecisionTreeMachineLearningModel.h"
#include "otbGradientBoostedTreeMachineLearningModel.h"
#include "otbKNearestNeighborsMachineLearningModel.h"
#endif
#include "otbConfusionMatrixCalculator.h"
......@@ -195,7 +188,6 @@ bool ReadDataRegressionFile(const std::string & infname, InputListSampleRegressi
return true;
}
#ifdef OTB_USE_LIBSVM
int otbLibSVMMachineLearningModelNew(int itkNotUsed(argc), char * itkNotUsed(argv) [])
{
typedef otb::LibSVMMachineLearningModel<InputValueType, TargetValueType> SVMType;
......@@ -284,9 +276,7 @@ int otbSVMMachineLearningModelNew(int itkNotUsed(argc), char * itkNotUsed(argv)
SVMType::Pointer svmclassifier = SVMType::New();
return EXIT_SUCCESS;
}
#endif
#ifdef OTB_USE_OPENCV
int otbSVMMachineLearningModel(int argc, char * argv[])
{
if (argc != 3 )
......@@ -1046,4 +1036,3 @@ int otbGradientBoostedTreeMachineLearningModel(int argc, char * argv[])
return EXIT_FAILURE;
}
}
#endif
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