there is still a compile time error with training data here

src/machineLearning/rapidGVF/rapidGVF.h

@@ -18,6 +18,7 @@ namespace rapidmix { class trainingData; }
 
 class rapidGVF {
     
+public: 
     rapidGVF();
 
     ~rapidGVF();

tests/src/test_gvf.cpp

@@ -9,7 +9,8 @@
 #define CATCH_CONFIG_MAIN  // This tells Catch to provide a main() - only do this in one cpp file
 #include "catch.hpp"
 #include "machineLearning.h"
-
+#include "trainingData.h"
+#include "GVF.h"
 
 
 TEST_CASE( "Tests default GVF ctor.", "[GVF]" ) {
@@ -36,10 +37,8 @@ TEST_CASE( "Tests default GVFGesture ctor.", "[GVF]" ) {
     gvf->setScalingsVariance(0.00001f); //0.00001f);   //0.000002f);   //0.00004f);
     gvf->setDynamicsVariance(0.0001f);
    
-    
     vector<vector<float>> trainingData;
     
-    
     if(gvf->getState() == GVF::STATE_LEARNING)
     {
         gvf->startGesture();
@@ -49,7 +48,6 @@ TEST_CASE( "Tests default GVFGesture ctor.", "[GVF]" ) {
             // Fill the template
             gesture.addObservation(*frame);
         }
-
     }
     
     gvf->setState(GVF::STATE_FOLLOWING);
@@ -86,31 +84,29 @@ SCENARIO("Test GVF Regression", "[machineLearning]")
 {
     GIVEN("gvf object and training dataset")
     {
-//        rapidmix::variationFollowing gvf;
-//        
+        rapidmix::gvfTemporalVariation gvf;
+        
+        
+        
 //        rapidmix::trainingData myData;
-//        std::vector<double> input = { 0.2, 0.7 };
-//        std::vector<double> output = { 3.0 };
+        
+        
+        std::vector<double> input = { 0.2, 0.7 };
+        std::vector<double> output = { 3.0 };
 //        myData.addElement(input, output);
 //        
-//        input = { 2.0, 44.2 };
-//        output = { 20.14 };
+        input = { 2.0, 44.2 };
+        output = { 20.14 };
 //        myData.addElement(input, output);
 //        
 //        gvf.train(myData);
         
-//        gvf.process(input);
+        gvf.process(input);
         
         
         std::string filepath2 = "/var/tmp/modelSetDescription_gvf.json";
 //        gvf.writeJSON(filepath2);
         
-//        rapidmix::staticClassification gvfFromString;
-//        gvfFromString.putJSON(gvf.getJSON());
-        
-//        rapidmix::staticClassification gvfFromFile;
-//        gvfFromFile.readJSON(filepath2);
-        
         
         std::vector<double> inputVec = { 2.0, 44.2 };