diff --git a/MLPP/DualSVC/DualSVC.cpp b/MLPP/DualSVC/DualSVC.cpp
index 6c6d65f..09a8b52 100644
--- a/MLPP/DualSVC/DualSVC.cpp
+++ b/MLPP/DualSVC/DualSVC.cpp
@@ -21,7 +21,7 @@ namespace MLPP{
         y_hat.resize(n);
         bias = Utilities::biasInitialization();
         alpha = Utilities::weightInitialization(n); // One alpha for all training examples, as per the lagrangian multipliers.
-        K = createK(); // For now this is unused. When non-linear kernels are added, the K will be manipulated.
+        K = kernelFunction(inputSet, inputSet, kernel); // For now this is unused. When non-linear kernels are added, the K will be manipulated.
     }
 
     std::vector<double> DualSVC::modelSetTest(std::vector<std::vector<double>> X){
@@ -225,14 +225,14 @@ namespace MLPP{
         }
     }
 
-    double DualSVC::kernelFunction(std::vector<double> u, std::vector<double> v){
+    double DualSVC::kernelFunction(std::vector<double> u, std::vector<double> v, std::string kernel){
         LinAlg alg;
         if(kernel == "Linear"){
             return alg.dot(u, v);
-        }
+        } // warning: non-void function does not return a value in all control paths [-Wreturn-type]
     }
 
-    std::vector<std::vector<double>> DualSVC::createK(){
+    std::vector<std::vector<double>> DualSVC::kernelFunction(std::vector<std::vector<double>> A, std::vector<std::vector<double>> B, std::string kernel){
         LinAlg alg;
         if(kernel == "Linear"){
             return alg.matmult(inputSet, alg.transpose(inputSet));
diff --git a/MLPP/DualSVC/DualSVC.hpp b/MLPP/DualSVC/DualSVC.hpp
index 025c7f5..d3a34dd 100644
--- a/MLPP/DualSVC/DualSVC.hpp
+++ b/MLPP/DualSVC/DualSVC.hpp
@@ -43,8 +43,8 @@ namespace MLPP {
 
             void alphaProjection();
 
-            double kernelFunction(std::vector<double> u, std::vector<double> v);
-            std::vector<std::vector<double>> createK();
+            double kernelFunction(std::vector<double> v, std::vector<double> u, std::string kernel);
+            std::vector<std::vector<double>> kernelFunction(std::vector<std::vector<double>> U, std::vector<std::vector<double>> V, std::string kernel);
         
             std::vector<std::vector<double>> inputSet;
             std::vector<double> outputSet;
diff --git a/SharedLib/MLPP.so b/SharedLib/MLPP.so
index 532088e..d1fa048 100755
Binary files a/SharedLib/MLPP.so and b/SharedLib/MLPP.so differ
diff --git a/a.out b/a.out
index 2a5b9b4..9f3a42a 100755
Binary files a/a.out and b/a.out differ
diff --git a/buildSO.sh b/buildSO.sh
index 4de0d15..d8f6c99 100755
--- a/buildSO.sh
+++ b/buildSO.sh
@@ -1,6 +1,6 @@
-g++ -I MLPP -c MLPP/Stat/Stat.cpp MLPP/LinAlg/LinAlg.cpp MLPP/Regularization/Reg.cpp MLPP/Activation/Activation.cpp MLPP/Utilities/Utilities.cpp MLPP/Data/Data.cpp MLPP/Cost/Cost.cpp MLPP/ANN/ANN.cpp MLPP/HiddenLayer/HiddenLayer.cpp MLPP/OutputLayer/OutputLayer.cpp MLPP/MLP/MLP.cpp MLPP/LinReg/LinReg.cpp MLPP/LogReg/LogReg.cpp MLPP/UniLinReg/UniLinReg.cpp MLPP/CLogLogReg/CLogLogReg.cpp MLPP/ExpReg/ExpReg.cpp MLPP/ProbitReg/ProbitReg.cpp MLPP/SoftmaxReg/SoftmaxReg.cpp MLPP/TanhReg/TanhReg.cpp MLPP/SoftmaxNet/SoftmaxNet.cpp MLPP/Convolutions/Convolutions.cpp MLPP/AutoEncoder/AutoEncoder.cpp MLPP/MultinomialNB/MultinomialNB.cpp MLPP/BernoulliNB/BernoulliNB.cpp MLPP/GaussianNB/GaussianNB.cpp MLPP/KMeans/KMeans.cpp MLPP/kNN/kNN.cpp MLPP/PCA/PCA.cpp MLPP/OutlierFinder/OutlierFinder.cpp MLPP/MultiOutputLayer/MultiOutputLayer.cpp MLPP/MANN/MANN.cpp --std=c++17 -pthread
+g++ -I MLPP -c main.cpp MLPP/Stat/Stat.cpp MLPP/LinAlg/LinAlg.cpp MLPP/Regularization/Reg.cpp MLPP/Activation/Activation.cpp MLPP/Utilities/Utilities.cpp MLPP/Data/Data.cpp MLPP/Cost/Cost.cpp MLPP/ANN/ANN.cpp MLPP/HiddenLayer/HiddenLayer.cpp MLPP/OutputLayer/OutputLayer.cpp MLPP/MLP/MLP.cpp MLPP/LinReg/LinReg.cpp MLPP/LogReg/LogReg.cpp MLPP/UniLinReg/UniLinReg.cpp MLPP/CLogLogReg/CLogLogReg.cpp MLPP/ExpReg/ExpReg.cpp MLPP/ProbitReg/ProbitReg.cpp MLPP/SoftmaxReg/SoftmaxReg.cpp MLPP/TanhReg/TanhReg.cpp MLPP/SoftmaxNet/SoftmaxNet.cpp MLPP/Convolutions/Convolutions.cpp MLPP/AutoEncoder/AutoEncoder.cpp MLPP/MultinomialNB/MultinomialNB.cpp MLPP/BernoulliNB/BernoulliNB.cpp MLPP/GaussianNB/GaussianNB.cpp MLPP/KMeans/KMeans.cpp MLPP/kNN/kNN.cpp MLPP/PCA/PCA.cpp MLPP/OutlierFinder/OutlierFinder.cpp MLPP/MANN/MANN.cpp MLPP/MultiOutputLayer/MultiOutputLayer.cpp MLPP/SVC/SVC.cpp MLPP/NumericalAnalysis/NumericalAnalysis.cpp MLPP/DualSVC/DualSVC.cpp --std=c++17
 
-g++ -shared -o MLPP.so Reg.o LinAlg.o Stat.o Activation.o LinReg.o Utilities.o Cost.o LogReg.o ProbitReg.o ExpReg.o CLogLogReg.o SoftmaxReg.o TanhReg.o kNN.o KMeans.o UniLinReg.o SoftmaxNet.o MLP.o AutoEncoder.o HiddenLayer.o OutputLayer.o ANN.o BernoulliNB.o GaussianNB.o MultinomialNB.o Convolutions.o OutlierFinder.o Data.o MultiOutputLayer.o MANN.o
+g++ -shared -o MLPP.so Reg.o LinAlg.o Stat.o Activation.o LinReg.o Utilities.o Cost.o LogReg.o ProbitReg.o ExpReg.o CLogLogReg.o SoftmaxReg.o TanhReg.o kNN.o KMeans.o UniLinReg.o SoftmaxNet.o MLP.o AutoEncoder.o HiddenLayer.o OutputLayer.o ANN.o BernoulliNB.o GaussianNB.o MultinomialNB.o Convolutions.o OutlierFinder.o Data.o MultiOutputLayer.o MANN.o  SVC.o NumericalAnalysis.o DualSVC.o
 
 mv MLPP.so SharedLib