REFAC: Remove unused class member.

Modules/Applications/AppClassification/app/otbTrainImagesClassifier.cxx

@@ -90,24 +90,6 @@ public:
       {
       UpdatePolygonClassStatisticsParameters();
       }
-
-
-    // Change mandatory of input vector depending on supervised and unsupervised mode.
-//    if( HasValue( "classifier" ) )
-//      {
-//      UpdateInternalParameters( "training" );
-//      switch( trainVectorBase->GetClassifierCategory() )
-//        {
-//        case TrainVectorBase::Unsupervised:
-//          MandatoryOff( "io.vd" );
-//          break;
-//        default:
-//        case TrainVectorBase::Supervised:
-//          MandatoryOn( "io.vd" );
-//          break;
-//        }
-//      }
-
   }
 
   /**
@@ -185,7 +167,7 @@ public:
 
     unsigned long nbInputs = imageList->Size();
 
-    if( !HasInputVector ) // && trainVectorBase->GetClassifierCategory() == TrainVectorBase::Supervised )
+    if( !HasInputVector )
       {
       otbAppLogFATAL( "Missing input vector data files" );
       }

Modules/Applications/AppClassification/include/otbTrainImagesBase.h

@@ -20,7 +20,6 @@
 #ifndef otbTrainImagesBase_h
 #define otbTrainImagesBase_h
 
-#include "otbTrainVectorBase.h"
 #include "otbVectorDataFileWriter.h"
 #include "otbWrapperCompositeApplication.h"
 #include "otbWrapperApplicationFactory.h"
@@ -184,9 +183,6 @@ private:
 
 protected:
 
-  /** Base use for training, this allow to know if the choosed classifier is supervised or unsupervised */
-  TrainVectorBase* trainVectorBase;
-
   struct SamplingRates
   {
     long int fmt;

Modules/Applications/AppClassification/include/otbTrainImagesBase.txx

@@ -123,7 +123,6 @@ void TrainImagesBase::ConnectSamplingParameters()
 void TrainImagesBase::InitClassification()
 {
   AddApplication( "TrainVectorClassifier", "training", "Model training" );
-  trainVectorBase = dynamic_cast<TrainVectorBase*>(GetInternalApplication("training"));
 
   AddParameter( ParameterType_InputVectorDataList, "io.valid", "Validation Vector Data List" );
   SetParameterDescription( "io.valid", "A list of vector data to select the training samples." );