private void OnAlgorithmChanged()
{
if (cboAlgorithm.SelectedIndex >= 0)
{
string strAlgo = (cboAlgorithm.SelectedItem as ComboBoxItem).Tag.ToString();
BetterMatchMaking.Library.BetterMatchMakingCalculator calc = new Library.BetterMatchMakingCalculator(strAlgo);
sspP.Visible = calc.UseParameterClassPropMinPercent;
sspMinCars.Visible = calc.UseParameterMinCars;
sspIR.Visible = calc.UseParameterRatingThreshold;
sspMaxSofDiff.Visible = calc.UseParameterMaxSofDiff;
sspMaxSofFunctStartingIRValue.Visible = calc.UseParameterMaxSofFunct;
sspMaxSofFunctStartingThreshold.Visible = calc.UseParameterMaxSofFunct;
sspMaxSofFunctExtraThresoldPerK.Visible = calc.UseParameterMaxSofFunct;
sspTopSplitExc.Visible = calc.UseParameterTopSplitException;
sspDebug.Visible = calc.UseParameterDebugFile;
sspForceMidClass.Visible = calc.UseParameterNoMiddleClassesEmpty;
}
else
{
sspP.Visible = false;
sspMinCars.Visible = false;
sspIR.Visible = false;
sspMaxSofDiff.Visible = false;
sspMaxSofFunctStartingIRValue.Visible = false;
sspMaxSofFunctStartingThreshold.Visible = false;
sspMaxSofFunctExtraThresoldPerK.Visible = false;
sspTopSplitExc.Visible = false;
sspDebug.Visible = false;
sspForceMidClass.Visible = false;
}
}
public void Demo()
{
// 1 : read or create a dataset containing drivers and teams
var dataset = LoadCsv("..\\..\\..\\BetterMatchMaking.UI\\Bin\\Debug\\petit-le-mans-2019-fieldsize45.csv");
// or load from code
//var dataset = LoadFromCode();
// 2 : instanciate calculator and parameters
BetterMatchMaking.Library.BetterMatchMakingCalculator calculator = new Library.BetterMatchMakingCalculator("SmartPredictedMoveDownAffineDistribution");
calculator.ParameterMinCarsValue = 10;
calculator.ParameterMaxSofDiffValue = 17;
calculator.ParameterMaxSofFunctStartingIRValue = 2800;
calculator.ParameterMaxSofFunctStartingThreshold = 18;
calculator.ParameterMaxSofFunctExtraThresoldPerK = 11;
calculator.ParameterTopSplitExceptionValue = 0;
calculator.ParameterNoMiddleClassesEmptyValue = 0;
calculator.ParameterRatingThresholdValue = 1700;
// 3 : Launch
int fieldSize = 45;
calculator.Compute(dataset, fieldSize);
// 4 : Display Results in console
foreach (var split in calculator.Splits)
{
Console.WriteLine("### SPLIT " + split.Number + " ###");
for (int i = 0; i < 4; i++)
{
int classid = split.GetClassId(i);
if (classid > 0)
{
Console.WriteLine(" !!! CLASS " + classid + " !!!");
var cars = split.GetClassCars(i);
if (cars != null)
{
foreach (var car in cars)
{
Console.WriteLine(" - [IR " + car.rating + "]" + car.name + " - ");
}
}
}
}
}
// 5 : enjoy
Console.WriteLine("Press ENTER to exit");
Console.ReadLine();
}
public void Test(string csv)
{
// get fieldsize from file name
int fieldSize = 0;
string cst_fieldsize = "-fieldsize";
if (csv.Contains(cst_fieldsize))
{
string strfieldsize = csv.Substring(
csv.IndexOf(cst_fieldsize) + cst_fieldsize.Length,
2
);
Int32.TryParse(strfieldsize, out fieldSize);
}
// -->
// read csv
var parser = new BetterMatchMaking.Library.Data.CsvParser();
parser.Read(csv);
var entrylist = parser.DistinctCars;
// -->
// run algorithm
BetterMatchMaking.Library.BetterMatchMakingCalculator calculator = new Library.BetterMatchMakingCalculator("SmartPredictedMoveDownAffineDistribution");
for (int p = 5; p < 50; p++)
{
Console.WriteLine("");
Console.WriteLine("------------------------------------");
Console.WriteLine(new FileInfo(csv).Name);
Console.WriteLine("Max Soff Diff = " + p);
calculator.ParameterMinCarsValue = p;
calculator.ParameterMaxSofDiffValue = 17;
calculator.ParameterMaxSofFunctStartingIRValue = 2800;
calculator.ParameterMaxSofFunctStartingThreshold = 18;
calculator.ParameterMaxSofFunctExtraThresoldPerK = 11;
calculator.ParameterTopSplitExceptionValue = 0;
calculator.ParameterNoMiddleClassesEmptyValue = 0;
calculator.ParameterRatingThresholdValue = 1700;
calculator.Compute(entrylist, fieldSize);
var audit = calculator.GetAudit();
Console.WriteLine(audit.ToString());
Console.WriteLine("AverageSplitClassesSofDifference = " + audit.AverageSplitClassesSofDifference);
Console.WriteLine("MinSplitSizePercent = " + audit.MinSplitSizePercent);
if (!audit.Success)
{
testsFailed++;
}
if (audit.MinSplitSizePercent < 0.5)
{
testsSplitsDiff++;
}
if (audit.IROrderInconsistencySplits.Count > 0)
{
}
diff.Add(audit.AverageSplitClassesSofDifference);
tests++;
}
// -->
}
