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public ExecuteTask ( |
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| task | The task to execute. | |
| return | void | |
public void TestRegression()
{
FileInfo rawFile = TEMP_DIR.CreateFile("simple.csv");
FileInfo egaFile = TEMP_DIR.CreateFile("simple.ega");
FileInfo outputFile = TEMP_DIR.CreateFile("simple_output.csv");
FileUtil.CopyResource("Encog.Resources.simple.csv", rawFile);
FileUtil.CopyResource("Encog.Resources.simple-r.ega", egaFile);
EncogAnalyst analyst = new EncogAnalyst();
analyst.Load(egaFile);
analyst.ExecuteTask("task-full");
ReadCSV csv = new ReadCSV(outputFile.ToString(), true, CSVFormat.English);
while (csv.Next())
{
double diff = Math.Abs(csv.GetDouble(2) - csv.GetDouble(4));
Assert.IsTrue(diff < 1.5);
}
Assert.AreEqual(4, analyst.Script.Fields.Length);
Assert.AreEqual(3, analyst.Script.Fields[3].ClassMembers.Count);
csv.Close();
}
public void TestRegression()
{
FileInfo rawFile = TEMP_DIR.CreateFile("simple.csv");
FileInfo egaFile = TEMP_DIR.CreateFile("simple.ega");
FileInfo outputFile = TEMP_DIR.CreateFile("simple_output.csv");
FileUtil.CopyResource("Encog.Resources.simple.csv", rawFile);
FileUtil.CopyResource("Encog.Resources.simple-r.ega", egaFile);
EncogAnalyst analyst = new EncogAnalyst();
analyst.Load(egaFile);
analyst.ExecuteTask("task-full");
ReadCSV csv = new ReadCSV(outputFile.ToString(), true, CSVFormat.English);
while (csv.Next())
{
double diff = Math.Abs(csv.GetDouble(2) - csv.GetDouble(4));
Assert.IsTrue(diff < 1.5);
}
Assert.AreEqual(4, analyst.Script.Fields.Length);
Assert.AreEqual(3, analyst.Script.Fields[3].ClassMembers.Count);
csv.Close();
}
public void TestClassification()
{
FileInfo rawFile = TEMP_DIR.CreateFile("simple.csv");
FileInfo egaFile = TEMP_DIR.CreateFile("simple.ega");
FileInfo outputFile = TEMP_DIR.CreateFile("simple_output.csv");
FileUtil.CopyResource("Encog.Resources.simple.csv", rawFile);
FileUtil.CopyResource("Encog.Resources.simple-c.ega", egaFile);
EncogAnalyst analyst = new EncogAnalyst();
analyst.AddAnalystListener(new ConsoleAnalystListener());
analyst.Load(egaFile);
analyst.ExecuteTask("task-full");
ReadCSV csv = new ReadCSV(outputFile.ToString(), true, CSVFormat.English);
while (csv.Next())
{
Assert.AreEqual(csv.Get(3), csv.Get(4));
}
Assert.AreEqual(4, analyst.Script.Fields.Length);
Assert.AreEqual(3, analyst.Script.Fields[3].ClassMembers.Count);
csv.Close();
}
public void TestClassification()
{
FileInfo rawFile = TEMP_DIR.CreateFile("simple.csv");
FileInfo egaFile = TEMP_DIR.CreateFile("simple.ega");
FileInfo outputFile = TEMP_DIR.CreateFile("simple_output.csv");
FileUtil.CopyResource("Encog.Resources.simple.csv", rawFile);
FileUtil.CopyResource("Encog.Resources.simple-c.ega", egaFile);
EncogAnalyst analyst = new EncogAnalyst();
analyst.AddAnalystListener(new ConsoleAnalystListener());
analyst.Load(egaFile);
analyst.ExecuteTask("task-full");
ReadCSV csv = new ReadCSV(outputFile.ToString(), true, CSVFormat.English);
while (csv.Next())
{
Assert.AreEqual(csv.Get(3), csv.Get(4));
}
Assert.AreEqual(4, analyst.Script.Fields.Length);
Assert.AreEqual(3, analyst.Script.Fields[3].ClassMembers.Count);
csv.Close();
}
public void TestWizard()
{
FileInfo rawFile = TEMP_DIR.CreateFile("iris_raw.csv");
FileUtil.CopyResource("Encog.Resources.iris.csv", rawFile);
FileInfo analystFile = TEMP_DIR.CreateFile("iris.ega");
EncogAnalyst encog = new EncogAnalyst();
AnalystWizard wiz = new AnalystWizard(encog);
wiz.Goal = AnalystGoal.Classification;
wiz.Wizard(rawFile, true, AnalystFileFormat.DecpntComma);
encog.ExecuteTask("task-full");
encog.Save(analystFile);
encog.Load(analystFile);
AnalystReport report = new AnalystReport(encog);
report.ProduceReport(TEMP_DIR.CreateFile("report.html"));
Assert.AreEqual(5, encog.Script.Normalize.NormalizedFields.Count);
Assert.AreEqual(4.3, encog.Script.Fields[0].Min, 0.001);
Assert.AreEqual(7.9, encog.Script.Fields[0].Max, 0.001);
Assert.AreEqual(5.8483221477, encog.Script.Fields[0].Mean, 0.001);
Assert.AreEqual(encog.Script.Fields[0].Class, false);
Assert.AreEqual(encog.Script.Fields[0].Real, true);
Assert.AreEqual(encog.Script.Fields[0].Integer, false);
Assert.AreEqual(encog.Script.Fields[0].Complete, true);
Assert.AreEqual(-3.38833, encog.Script.Normalize.NormalizedFields[0].Normalize(0.001), 0.001);
}
public void TestWizard()
{
FileInfo rawFile = TEMP_DIR.CreateFile("iris_raw.csv");
FileUtil.CopyResource("Encog.Resources.iris.csv", rawFile);
FileInfo analystFile = TEMP_DIR.CreateFile("iris.ega");
EncogAnalyst encog = new EncogAnalyst();
AnalystWizard wiz = new AnalystWizard(encog);
wiz.Goal = AnalystGoal.Classification;
wiz.Wizard(rawFile, true, AnalystFileFormat.DecpntComma);
encog.ExecuteTask("task-full");
encog.Save(analystFile);
encog.Load(analystFile);
AnalystReport report = new AnalystReport(encog);
report.ProduceReport(TEMP_DIR.CreateFile("report.html"));
Assert.AreEqual(5, encog.Script.Normalize.NormalizedFields.Count);
Assert.AreEqual(4.3, encog.Script.Fields[0].Min, 0.001);
Assert.AreEqual(7.9, encog.Script.Fields[0].Max, 0.001);
Assert.AreEqual(5.84333, encog.Script.Fields[0].Mean, 0.001);
Assert.AreEqual(encog.Script.Fields[0].Class, false);
Assert.AreEqual(encog.Script.Fields[0].Real, true);
Assert.AreEqual(encog.Script.Fields[0].Integer, false);
Assert.AreEqual(encog.Script.Fields[0].Complete, true);
Assert.AreEqual(-3.38833, encog.Script.Normalize.NormalizedFields[0].Normalize(0.001), 0.001);
}
public void Process(double maxError)
{
int cycles = 0;
double e;
EncogAnalyst.AddAnalystListener(new ConsoleAnalystListener());
do
{
EncogAnalyst.ExecuteTask("task-full");
e = CalculateError();
cycles++;
Debug.WriteLine(cycles + ": Error = " + e);
} while (cycles <= MaxCycles && e > maxError);
Assert.IsTrue(cycles <= MaxCycles, "Too many cycles to perform successful train.");
}
public void IrisExample(FileInfo dir)
{
Console.WriteLine("Starting Iris dataset example.");
Uri url = new Uri(IRIS_SOURCE);
FileInfo analystFile = FileUtil.CombinePath(dir, "iris.ega");
FileInfo rawFile = FileUtil.CombinePath(dir, "iris_raw.csv");
EncogAnalyst encog = new EncogAnalyst();
encog.AddAnalystListener(new ConsoleAnalystListener());
AnalystWizard wiz = new AnalystWizard(encog);
//wiz.TaskRandomize = false;
wiz.Wizard(url, analystFile, rawFile, false, AnalystFileFormat.DecpntComma);
encog.Save(analystFile);
encog.ExecuteTask("task-full");
AnalystReport report = new AnalystReport(encog);
report.ProduceReport(FileUtil.CombinePath(dir, "report.html"));
}
public void ForestExample(FileInfo dir)
{
Console.WriteLine("Starting forest cover dataset example.");
var url = new Uri(FOREST_SOURCE);
FileInfo analystFile = FileUtil.CombinePath(dir, "forest.ega");
FileInfo rawFile = FileUtil.CombinePath(dir, "forest_raw.csv");
var encog = new EncogAnalyst();
encog.AddAnalystListener(new ConsoleAnalystListener());
var wiz = new AnalystWizard(encog);
wiz.TaskBalance = true;
wiz.Wizard(url, analystFile, rawFile, false, AnalystFileFormat.DecpntComma);
encog.MaxIteration = 300;
encog.ExecuteTask("task-full");
encog.Save(analystFile);
var report = new AnalystReport(encog);
report.ProduceReport(FileUtil.CombinePath(dir, "report.html"));
}
private void AnalystCommand()
{
String egaFile;
String task;
if (_cmd.Args.Count == 0)
{
Console.WriteLine(@"Must specify the EGA file to run");
return;
}
if (_cmd.Args.Count == 1)
{
egaFile = _cmd.Args[0];
task = "task-full";
}
else
{
egaFile = _cmd.Args[0];
task = _cmd.Args[1];
}
_sw.Start();
var analyst = new EncogAnalyst();
analyst.AddAnalystListener(new ConsoleAnalystListener());
analyst.Load(new FileInfo(egaFile));
analyst.ExecuteTask(task);
}