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); }