public void Dataset_GetInstance_WithLabelsAndKeys()
{
// Arrange
string filename = @"Dataset\Iris.csv";
IReader reader = new CSVReader(filename);
SOM som = new SOM();
som.GetData(reader);
Dataset dataset = som.Dataset;
dataset.SetKey("Id");
dataset.SetLabel("Species");
// Act
double[] result = dataset.GetInstance <double>(0);
// Assert
int expectedCount = 4;
double x1 = 5.1;
double x2 = 3.5;
double x3 = 1.4;
double x4 = 0.2;
Assert.AreEqual(expectedCount, result.Length);
Assert.AreEqual(x1, result[0]);
Assert.AreEqual(x2, result[1]);
Assert.AreEqual(x3, result[2]);
Assert.AreEqual(x4, result[3]);
}
// GET: SOM
public ActionResult Index()
{
string filepath = Server.MapPath("~/Dataset/epileptic_dataset.csv");
_reader = new CSVReader(filepath);
_model.GetData(_reader);
_model.Dataset.SetLabel("Patient");
_model.Dataset.SetLabel("y");
_model.FeatureLabel = "y";
_model.InitializeMap();
_model.Train();
_model.LabelNodes();
return(View(_model));
}
public void SOM_IgnoreColumns_GetIsLabelColumn_WhenIsLabelTrue()
{
// Arrange
string filename = @"Dataset\Iris.csv";
IReader reader = new CSVReader(filename);
SOM som = new SOM();
som.GetData(reader);
// Act
Dataset dataset = som.Dataset;
dataset.SetLabel("Species");
List <int> ignoreColumns = dataset.GetIgnoreColumns();
// Assert
string expected = "Species";
string result = dataset.Features[ignoreColumns[0]].FeatureName;
Assert.AreEqual(expected, result);
}
public static void Program1(string[] args)
{
Stopwatch stopwatch = new Stopwatch();
string filepath = @"C:\Users\Vilson\Desktop\Datasets\Financial Distress\FD_Training.csv";
SOM _model = new SOM(10, 10, 0.3, 20);
_model.Training += _model_Training;
IReader _reader = new CSVReader(filepath);
IClusterer _kmeans = new KMeansClustering();
_model.GetData(_reader);
_model.Dataset.SetLabel("Company");
_model.Dataset.SetLabel("Time");
_model.Dataset.SetLabel("Financial Distress");
_model.Dataset.SetLabel("Status");
_model.FeatureLabel = "Status";
Console.WriteLine("Start initializing map...");
stopwatch.Start();
_model.InitializeMap();
stopwatch.Stop();
Console.WriteLine("Completed initialization...");
Console.WriteLine("Time elapsed: {0:hh\\:mm\\:ss}", stopwatch.Elapsed);
Console.WriteLine("Start training model...");
stopwatch.Restart();
_model.Train();
stopwatch.Stop();
Console.WriteLine("Completed training model...");
Console.WriteLine("Time elapsed: {0:hh\\:mm\\:ss}", stopwatch.Elapsed);
Console.WriteLine("Start labelling node...");
stopwatch.Restart();
_model.LabelNodes();
stopwatch.Stop();
Console.WriteLine("Completed labelling node...");
Console.WriteLine("Time elapsed: {0:hh\\:mm\\:ss}", stopwatch.Elapsed);
Console.WriteLine("Start clustering nodes...");
stopwatch.Restart();
var flattenedMap = ArrayHelper <Node> .FlattenMap(_model.Map);
var clusteredNodes = _kmeans.Cluster(flattenedMap, 3);
stopwatch.Stop();
Console.WriteLine("Completed clustering nodes...");
Console.WriteLine("Time elapsed: {0:hh\\:mm\\:ss}", stopwatch.Elapsed);
string trainingPath = @"C:\Users\Vilson\Desktop\Datasets\Financial Distress\Training";
List <TrajectoryMapper> dbTrajectories = new List <TrajectoryMapper>();
Console.WriteLine("Start plotting trajectories...");
stopwatch.Restart();
foreach (var file in Directory.EnumerateFiles(trainingPath))
{
TrajectoryMapper trajectoryMapper = new TrajectoryMapper(_model);
IReader trajectoryReader = new CSVReader(file);
trajectoryMapper.GetData(trajectoryReader);
trajectoryMapper.GetTrajectories();
dbTrajectories.Add(trajectoryMapper);
}
stopwatch.Stop();
Console.WriteLine("Completed plotting trajectories...");
Console.WriteLine("Time elapsed: {0:hh\\:mm\\:ss}", stopwatch.Elapsed);
string testingPath = @"C:\Users\Vilson\Desktop\Datasets\Financial Distress\Test\fd_297.csv";
TrajectoryMapper testMapper = new TrajectoryMapper(_model);
IReader trjaectoryDataReader = new CSVReader(testingPath);
testMapper.GetData(trjaectoryDataReader);
var unknownTrajectory = testMapper.GetTrajectories();
IFileHelper fileHelper = new FileHelper();
ISimilarityMeasure similarityMeasure = new CompressionDissimilarityMeasure(fileHelper);
foreach (var trajectory in dbTrajectories)
{
var currentTrajectory = trajectory.GetTrajectories();
var score = similarityMeasure.MeasureSimilarity(currentTrajectory, unknownTrajectory);
Console.WriteLine("{0}: {1}", trajectory.FileName, score);
}
Console.ReadLine();
}
