public static void TrainSMO(Instances data)
{
//grab SMO, config
weka.classifiers.functions.SMO smo = new SMO();
smo.setOptions(weka.core.Utils.splitOptions(" -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K \"weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0\""));
//train
smo.buildClassifier(data);
//test on self should get 100%
weka.classifiers.Evaluation eval = new weka.classifiers.Evaluation(data);
eval.evaluateModel(smo, data);
Training_Output.printWekaResults(eval.toSummaryString("\nResults\n======\n", false));
//save model serialize model
weka.core.SerializationHelper.write(GuiPreferences.Instance.WorkDirectory + "TrainSet_" + GuiPreferences.Instance.NudClassifyUsingTR.ToString() + "th_vectors_scaledCS_filteredIG.model", smo);
//load model deserialize model
smo = (weka.classifiers.functions.SMO)weka.core.SerializationHelper.read(GuiPreferences.Instance.WorkDirectory + "TrainSet_" + GuiPreferences.Instance.NudClassifyUsingTR.ToString() + "th_vectors_scaledCS_filteredIG.model");
//test loaded model
eval = new weka.classifiers.Evaluation(data);
eval.evaluateModel(smo, data);
Training_Output.printWekaResults(eval.toSummaryString("\nResults\n======\n", false));
}
private static void WekaTrainingPipeline(Instances data)
{
//grab SMO, config
TrainingTesting_SharedVariables.smo = new SMO();
TrainingTesting_SharedVariables.smo.setOptions(weka.core.Utils.splitOptions(" -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K \"weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0\""));
GuiPreferences.Instance.setLog("SMO Assigned.");
//train
TrainingTesting_SharedVariables.smo.buildClassifier(data);
GuiPreferences.Instance.setLog("Training on Data");
//test on self should get 100%
weka.classifiers.Evaluation eval = new weka.classifiers.Evaluation(data);
eval.evaluateModel(TrainingTesting_SharedVariables.smo, data);
Training_Output.printWekaResults(eval.toSummaryString("\nResults\n======\n", false));
GuiPreferences.Instance.setLog("SMO Model Tested on Training Data, check that you get 100%.");
//save model serialize model
weka.core.SerializationHelper.write(GuiPreferences.Instance.WorkDirectory + "TrainSet_" + GuiPreferences.Instance.NudClassifyUsingTR.ToString() + "th_vectors_scaledCS_filteredIG.libsvm.arff.model", TrainingTesting_SharedVariables.smo);
GuiPreferences.Instance.setLog("SMO Model Serialized and saved.");
//load model deserialize model
TrainingTesting_SharedVariables.smo = (weka.classifiers.functions.SMO)weka.core.SerializationHelper.read(GuiPreferences.Instance.WorkDirectory + "TrainSet_" + GuiPreferences.Instance.NudClassifyUsingTR.ToString() + "th_vectors_scaledCS_filteredIG.libsvm.arff.model");
GuiPreferences.Instance.setLog("SMO Model DeSerialized and loaded.");
//test loaded model
eval = new weka.classifiers.Evaluation(data);
eval.evaluateModel(TrainingTesting_SharedVariables.smo, data);
Training_Output.printWekaResults(eval.toSummaryString("\nResults\n======\n", false));
GuiPreferences.Instance.setLog("SMO Model Tested on data (sanity check for loaded model).");
//display top IG on dicom view
if (Preferences.Instance.attsel == null)
{
GuiPreferences.Instance.setLog("there are no ranked IG attributes or selected attr, continuing but please fix this possible bug.");
}
GuiPreferences.Instance.setLog("Dicom Viewer Displaying..");
string dicomDir = GuiPreferences.Instance.WorkDirectory;
dicomDir = dicomDir.Substring(0, dicomDir.Length - 4) + @"master\";
string[] files = System.IO.Directory.GetFiles(dicomDir, "*.dcm");
string firstFile = files[0].Substring(files[0].LastIndexOf(@"\") + 1);
bool thresholdOrVoxelAmount;
if (GuiPreferences.Instance.IgSelectionType == IGType.Threshold)
{
thresholdOrVoxelAmount = true;
}
else
{
thresholdOrVoxelAmount = false;
}
Form plotForm = new DicomImageViewer.MainForm(dicomDir + firstFile, firstFile,
Preferences.Instance.attsel.rankedAttributes(),
Convert.ToDouble(GuiPreferences.Instance.NudIGThreshold),
Convert.ToInt32(GuiPreferences.Instance.NudIGVoxelAmount),
thresholdOrVoxelAmount);// _trainTopIGFeatures);
plotForm.StartPosition = FormStartPosition.CenterParent;
plotForm.ShowDialog();
plotForm.Close();
GuiPreferences.Instance.setLog("Dicom Viewer Closed.");
}