C# (CSharp) Accord.MachineLearning.VectorMachines.Learning.MulticlassSupportVectorLearning Examples

Example #1

File: dataPrepSvm.cs Project: GeospatialDaryl/USFS_RMRS_FunctionalModeling_RasterModeling

 private void buildModel()
 {
     if (independentVls == null) getMatrix();
     svmMachine = new Accord.MachineLearning.VectorMachines.MulticlassSupportVectorMachine(nvars,kernel,Categories.Length);
     Accord.MachineLearning.VectorMachines.Learning.MulticlassSupportVectorLearning svmLearn = new Accord.MachineLearning.VectorMachines.Learning.MulticlassSupportVectorLearning(svmMachine, independentVls, dependentVls);
     svmLearn.Algorithm = (svm, classInputs, classOutputs, i, j) => getAlg(svm,classInputs,classOutputs);
     sserror = svmLearn.Run();
 }

Example #2

 private void buildModel()
 {
     if (independentVls == null)
     {
         getMatrix();
     }
     svmMachine = new Accord.MachineLearning.VectorMachines.MulticlassSupportVectorMachine(nvars, kernel, Categories.Length);
     Accord.MachineLearning.VectorMachines.Learning.MulticlassSupportVectorLearning svmLearn = new Accord.MachineLearning.VectorMachines.Learning.MulticlassSupportVectorLearning(svmMachine, independentVls, dependentVls);
     svmLearn.Algorithm = (svm, classInputs, classOutputs, i, j) => getAlg(svm, classInputs, classOutputs);
     sserror            = svmLearn.Run();
 }