public void LoadTrainData(string trainDataPath)
{
TrainDataPath = trainDataPath;
if (!Directory.GetFiles(trainDataPath).Any())
{
return;
}
var features = FeatureLoader.GetObservations(trainDataPath);
SvmClassifier = SVMClassifier.Create(features);
}
public static ConfusionMatrix Validate(List <ImageFeatures> train, List <ImageFeatures> validation)
{
var svmClassifier = SVMClassifier.Create(train);
var confusionMatrix = new ConfusionMatrix();
foreach (var validationObservation in validation)
{
var predict = svmClassifier.Predict(validationObservation);
confusionMatrix.AddVote(actual: validationObservation.IsOccupied, predicted: predict);
}
return(confusionMatrix);
}
