public void Run()
{
if (D == null)
{
throw new InvalidOperationException("Run ConfigureEvolver() first");
}
if (_validate)
{
D.VerifyOutput();
}
if (_outputBaseline)
{
//Run a simulation including all features to find the best combination of parameters for the particular classifier
T baseline = new T();
string basePath = OptoGlobals.EnvironmentTag + "/" + OptoGlobals.DataSetName + "/" + baseline.GetToken + "Baseline";
EvoOptimizerProgram <T> baseProgram = new EvoOptimizerProgram <T>();
baseProgram.MaxGen = 100;
baseProgram.SaveAfterGens = 25;
baseProgram.PopSize = 50;
baseProgram.IncludeAllFeatures = true;
baseProgram.OutputFileStem = basePath;
baseProgram.Noload = true;
baseProgram._outputBaseline = false;
baseProgram.ConfigureAndRun();
}
Stopwatch sw = new Stopwatch();
_running = true;
for (int x = 0; x < _maxGen; ++x)
{
sw.Start();
D.AdvanceGeneration();
Debug.WriteLine("Elapsed time for generation " + x + " = " + sw.ElapsedMilliseconds + " ms");
Console.WriteLine("Elapsed time for generation " + x + " = " + sw.ElapsedMilliseconds + " ms");
double sum = 0, count = 0;
foreach (T t in D.Population)
{
sum += t.Fitness;
count += 1;
}
Console.WriteLine("Best Fitness = " + D.Population[0].Fitness + " \n Average fitness = " + D.AverageFitness);
if (x % _saveAfterGens == 0)
{
D.DumpLookupToFile(OutputFileStem);
}
sw.Reset();
}
D.DumpLookupToFile(OutputFileStem);
OutputFileStem = null;
//Console.ReadLine();
}
static void Main(string[] args)
{
string compTagFile = @"..\..\compTag.txt";
if (System.IO.File.Exists(compTagFile))
{
OptoGlobals.LoadTagFromFile(compTagFile);
}
else
{
using (System.IO.StreamWriter fout = new System.IO.StreamWriter(compTagFile)){
fout.WriteLine("NoTag");
}
}
OptoGlobals.IsDebugMode = false;
// Create the MATLAB instance
String GlobalPath = "../../../Data/Hackathon/DataSetConfigSquish.csv";
int maxGen = 100, saveAfterGens = 25, popSize = 50, baseCompUB = 10, maxComp = 2000;
if (args.Length >= 2)
{
GlobalPath = args[1];
}
for (int i = 2; i < args.Length; ++i)
{
switch (args[i].ToLower())
{
case "path":
case "-p":
GlobalPath = args[++i];
break;
case "gen":
case "-g":
maxGen = Int32.Parse(args[++i]);
break;
case "save":
case "-r":
saveAfterGens = Int32.Parse(args[++i]);
break;
case "population":
case "-pop":
saveAfterGens = Int32.Parse(args[++i]);
break;
case "compub":
case "-c":
baseCompUB = Int32.Parse(args[++i]);
break;
case "maxcomp":
case "-m":
maxComp = Int32.Parse(args[++i]);
break;
}
}
OptoGlobals.ConfigureForDataset(GlobalPath);
double[] poot = { OptoGlobals.RNG.NextDouble(), OptoGlobals.RNG.NextDouble(), OptoGlobals.RNG.NextDouble(), OptoGlobals.RNG.NextDouble(), OptoGlobals.RNG.NextDouble(),
OptoGlobals.RNG.NextDouble(), OptoGlobals.RNG.NextDouble(), OptoGlobals.RNG.NextDouble(), OptoGlobals.RNG.NextDouble(), OptoGlobals.RNG.NextDouble() };
object pootwrap = poot;
//Hunter x = new Hunter();
double nerp;
Daedalus D = new Daedalus();
//x.Vote(pootwrap, out nerp);
CTreeOptimizer.CTreeOptimizer.RewriteBitLengths();
EvoOptimizerProgram <CTreeOptimizer.CTreeOptimizer> decisionTreeProgram = new EvoOptimizerProgram <CTreeOptimizer.CTreeOptimizer>();
decisionTreeProgram.MaxGen = maxGen;
decisionTreeProgram.SaveAfterGens = saveAfterGens;
decisionTreeProgram.PopSize = popSize;
decisionTreeProgram.OutputBaseline = false;
MulticlassNBOptimizer.MulticlassNBOptimizer.RewriteBits();
EvoOptimizerProgram <MulticlassNBOptimizer.MulticlassNBOptimizer> naiveBayesProgram = new EvoOptimizerProgram <MulticlassNBOptimizer.MulticlassNBOptimizer>();
naiveBayesProgram.MaxGen = maxGen;
naiveBayesProgram.SaveAfterGens = saveAfterGens;
naiveBayesProgram.PopSize = popSize;
naiveBayesProgram.OutputBaseline = false;
//Configure the program here- set things like multi-threading, etc, if desired
D.MaxGen = maxGen * 10;
D.RecordInterval = saveAfterGens;
D.PopSize = popSize * 10;
D.InitialComplexityUpperBound = baseCompUB;
D.MaxCellComplexity = maxComp;
D.ConfigureCellDelegatesForDatabase();
//System.Threading.Thread t = new System.Threading.Thread(() => D.Run());
//t.Start();
//D.Run();
naiveBayesProgram.ConfigureAndRun();
decisionTreeProgram.ConfigureAndRun();
/*MulticlassNBOptimizer.MulticlassNBOptimizer bestNb = new MulticlassNBOptimizer.MulticlassNBOptimizer("1101110111010101001010100000101111000111000010101110101011011111111100011011100");
* bestNb.Eval();
*
* OptoGlobals.readInSpecialTestSet();
*
* bestNb.Eval();
* using(StreamWriter fout = new StreamWriter(new FileStream("mysubmission.csv", FileMode.Create))){
* bestNb.DumpLabelsToStream(fout);
* }
* SerializationChecks();
*/
}