public static void Main(string[] args)
{
int numberExecutions = EEGEmoProc2ChSettings.Instance.Executions.Value;
string assemblyPath = System.IO.Path.GetDirectoryName(System.Reflection.Assembly.GetEntryAssembly().Location);
if (!Directory.Exists(Path.Combine(assemblyPath, "salida")))
{
Directory.CreateDirectory(Path.Combine(assemblyPath, "salida"));
}
string dataPath = Path.Combine(assemblyPath, "data");
var dict = new Dictionary <TagType, List <List <double[]> > >();
Console.WriteLine("Leyendo HALV File 1");
dict.Add(TagType.HALV, TrainerFileSelector.ReadSqlite(Path.Combine(dataPath, EEGEmoProc2ChSettings.Instance.HALVFileName.Value)));
Console.WriteLine("Leyendo HAHV File 2");
dict.Add(TagType.HAHV, TrainerFileSelector.ReadSqlite(Path.Combine(dataPath, EEGEmoProc2ChSettings.Instance.HAHVFileName.Value)));
Console.WriteLine("Leyendo LALV File 3");
dict.Add(TagType.LALV, TrainerFileSelector.ReadSqlite(Path.Combine(dataPath, EEGEmoProc2ChSettings.Instance.LALVFileName.Value)));
Console.WriteLine("Leyendo LAHV File 4");
dict.Add(TagType.LAHV, TrainerFileSelector.ReadSqlite(Path.Combine(dataPath, EEGEmoProc2ChSettings.Instance.LAHVFileName.Value)));
Console.WriteLine("procesados, ahora a entrenar");
for (int i = 0; i < numberExecutions; i++)
{
string instanceDir = Path.Combine(Path.Combine(assemblyPath, "salida"), "instance" + i);
if (!Directory.Exists(instanceDir))
{
Directory.CreateDirectory(instanceDir);
}
var lm = new LearningModel(instanceDir,
EEGEmoProc2ChSettings.Instance.IterationsMax.Value,
EEGEmoProc2ChSettings.Instance.NumberStars.Value,
EEGEmoProc2ChSettings.Instance.MinError.Value,
EEGEmoProc2ChSettings.Instance.MaxParalelism.Value);
lm.Train(dict);
}
/*double[][] data = { new double[] { 6.4688626447614546, 7.5686374989548071, 6.7558982629920026, 5.1081076369050757, 6.8749737894577576, 8.2617846795147525, 6.555227567529851, 6.5508205610453212 }, new double[] { 7.3453648404168685, 7.8564486619637925, 0.0, 8.95531908176395, 0.0, 6.7566739579242387, 6.650149674112825, 5.4540382415448123 }, new double[] { 6.7569323892475532, 6.5558740217510838, 5.6893194126286462, 5.2002056470458937, 6.7570615798684939, 6.8748446155248777, 5.8575434681760017, 7.8552862465923488 }, new double[] { 7.8563195714065879, 7.3453648404168685, 4.8675344504555822, 4.8346663977148232, 8.2620428439669418, 7.1629141597283583, 5.3919378078597182, 4.4176215084244808 }, new double[] { 7.1629141597283583, 6.6515718735897273, 6.7543450656826023, 7.0037145986989024, 8.2620428439669418, 6.8748446155248777, 5.8090560300113507, 5.8588850822088414 }, new double[] { 7.1629141597283583, 6.8748446155248777, 6.1180971980413483, 8.2616555722910228, 7.3453648404168685, 7.8564486619637925, 7.3435555868863744, 6.464718097966216 }, new double[] { 7.8563195714065879, 6.7570615798684939, 6.6497614502321811, 6.1774253072944756, 8.2620428439669418, 6.8748446155248777, 5.6904893835128352, 5.9510331013136435 }, new double[] { 0.0, 7.3453648404168685, 7.8532163881560724, 6.6461307408496459, 8.95531908176395, 7.8563195714065879, 6.75680318193424, 6.0919750853218106 }, new double[] { 7.5686374989548071, 8.95531908176395, 5.5811601623590681, 6.648466281031574, 8.95531908176395, 0.0, 7.0069539925261539, 6.64678004935892 }, new double[] { 6.8749737894577576, 7.00850518208228, 5.51563754326907, 5.2690469842479235, 8.95531908176395, 7.5686374989548071, 7.3453648404168685, 7.3436849278941212 }, new double[] { 7.1629141597283583, 7.8564486619637925, 4.6050331903032413, 4.8797403561350858, 7.1629141597283583, 7.3453648404168685, 6.3880441418589378, 6.5501708306605639 }, new double[] { 7.3453648404168685, 7.8563195714065879, 6.1155024897874757, 6.4665334511618537, 7.3452357165223123, 7.1629141597283583, 6.7566739579242387, 5.4354407849650146 } };
* int[] outputs = { 2, 2, 2, 3, 3, 3, 0, 0, 0, 1, 1, 1 };
*
* string assemblyPath = System.IO.Path.GetDirectoryName(System.Reflection.Assembly.GetEntryAssembly().Location);
* string svmPath = Path.Combine(Path.Combine(Path.Combine(assemblyPath, "salida"), "instance0"), "emotionmodel.svm");
* MulticlassSupportVectorMachine<Gaussian> svm = Serializer.Load<MulticlassSupportVectorMachine<Gaussian>>(path: svmPath);
*
* int i = 0;
* foreach(var feature in data)
* {
* int val = svm.Decide(feature);
* Console.WriteLine(val);
* if (val.Equals(outputs[i]))
* {
* Console.WriteLine("Dio bien");
* }
* else
* {
* Console.WriteLine("Dio mal");
* }
* i++;
* }*/
}
public void UnitClassifyEmoTest()
{
if (!System.IO.File.Exists("data/modal/Emotion/emotionmodel.svm"))
{
LearningModel.Train(FalseTrain());
}
Assert.AreEqual(TagType.HAHV, LearningModel.Classify(FalseTrain()[TagType.HAHV][0]));
}
private void Accept_Click(object sender, RoutedEventArgs e)
{
if ((UseInternalDataChbx.IsChecked.HasValue && UseInternalDataChbx.IsChecked.Value) ||
(!String.IsNullOrEmpty(HALVfileNameTextBox.Text) &&
!String.IsNullOrEmpty(HAHVfileNameTextBox.Text) &&
!String.IsNullOrEmpty(LALVfileNameTextBox.Text) &&
!String.IsNullOrEmpty(LAHVfileNameTextBox.Text)))
{
try
{
Console.WriteLine("empezando");
var dict = new Dictionary <TagType, List <List <double[]> > >();
Console.WriteLine("------------------------------------------------------------");
Console.WriteLine("A procesar HALV, faltan 4");
if (UseInternalDataChbx.IsChecked.HasValue && UseInternalDataChbx.IsChecked.Value)
{
//dict.Add(TagType.HALV, ReadFromData(Data.HALV.data));
}
else if (System.IO.Path.GetExtension(HALVfileNameTextBox.Text).Equals(".tsv"))
{
var halvFile = new StreamReader(HALVfileNameTextBox.Text);
var halvString = halvFile.ReadToEnd();
dict.Add(TagType.HALV, ReadTsv(halvString));
}
else if (System.IO.Path.GetExtension(HALVfileNameTextBox.Text).Equals(".db") ||
System.IO.Path.GetExtension(HALVfileNameTextBox.Text).Equals(".sqlite") ||
System.IO.Path.GetExtension(HALVfileNameTextBox.Text).Equals(".sqlite3"))
{
dict.Add(TagType.HALV, ReadSqlite(HALVfileNameTextBox.Text));
}
Console.WriteLine("------------------------------------------------------------");
Console.WriteLine("A procesar HAHV, faltan 3");
if (UseInternalDataChbx.IsChecked.HasValue && UseInternalDataChbx.IsChecked.Value)
{
//dict.Add(TagType.HAHV, ReadFromData(Data.HAHV.data));
}
else if (System.IO.Path.GetExtension(HAHVfileNameTextBox.Text).Equals(".tsv"))
{
var hahvFile = new StreamReader(HAHVfileNameTextBox.Text);
var hahvString = hahvFile.ReadToEnd();
dict.Add(TagType.HAHV, ReadTsv(hahvString));
}
else if (System.IO.Path.GetExtension(HAHVfileNameTextBox.Text).Equals(".db") ||
System.IO.Path.GetExtension(HALVfileNameTextBox.Text).Equals(".sqlite") ||
System.IO.Path.GetExtension(HALVfileNameTextBox.Text).Equals(".sqlite3"))
{
dict.Add(TagType.HAHV, ReadSqlite(HAHVfileNameTextBox.Text));
}
Console.WriteLine("------------------------------------------------------------");
Console.WriteLine("A procesar LALV, faltan 2");
if (UseInternalDataChbx.IsChecked.HasValue && UseInternalDataChbx.IsChecked.Value)
{
//dict.Add(TagType.LALV, ReadFromData(Data.LALV.data));
}
else if (System.IO.Path.GetExtension(LALVfileNameTextBox.Text).Equals(".tsv"))
{
var lalvFile = new StreamReader(LALVfileNameTextBox.Text);
var lalvString = lalvFile.ReadToEnd();
dict.Add(TagType.LALV, ReadTsv(lalvString));
}
else if (System.IO.Path.GetExtension(LALVfileNameTextBox.Text).Equals(".db") ||
System.IO.Path.GetExtension(HALVfileNameTextBox.Text).Equals(".sqlite") ||
System.IO.Path.GetExtension(HALVfileNameTextBox.Text).Equals(".sqlite3"))
{
dict.Add(TagType.LALV, ReadSqlite(LALVfileNameTextBox.Text));
}
Console.WriteLine("------------------------------------------------------------");
Console.WriteLine("A procesar LAHV, falta 1");
if (UseInternalDataChbx.IsChecked.HasValue && UseInternalDataChbx.IsChecked.Value)
{
//dict.Add(TagType.LAHV, ReadFromData(Data.LAHV.data));
}
else if (System.IO.Path.GetExtension(LAHVfileNameTextBox.Text).Equals(".tsv"))
{
var lahvFile = new StreamReader(LAHVfileNameTextBox.Text);
var lahvString = lahvFile.ReadToEnd();
dict.Add(TagType.LAHV, ReadTsv(lahvString));
}
else if (System.IO.Path.GetExtension(LAHVfileNameTextBox.Text).Equals(".db") ||
System.IO.Path.GetExtension(HALVfileNameTextBox.Text).Equals(".sqlite") ||
System.IO.Path.GetExtension(HALVfileNameTextBox.Text).Equals(".sqlite3"))
{
dict.Add(TagType.LAHV, ReadSqlite(LAHVfileNameTextBox.Text));
}
Console.WriteLine("procesados, ahora a entrenar");
LearningModel.Train(dict);
//TODO: terminó bien
}
catch (Exception ex)
{
Console.WriteLine($"error: {ex}");
}
}
}
public void UnitTrainEmoTest()
{
Assert.IsNotNull(LearningModel.Train(FalseTrain()));
}