private static void Main(string[] args)
{
if (!(args.Length == 3) || !int.TryParse(args[0], out _))
{
Console.WriteLine("Usage: WeigthOptimizer <indexMode> <indexPath> <outputPath>");
Console.WriteLine("Source path must contain one folder per language (sl, hr, ...) with the Xml CoNLL-UP files.");
Console.WriteLine("Index mode can be: 0=single index file per type, 1=index file per language");
return;
}
var langArray = GeneticOptimizer <ParametrizedEnsembleCandidate <Paragraph>, ParametrizedSearchQuery, Paragraph> .SupportedLanguages;
List <Task> tasks = new List <Task>();
for (int srcloop = 0; srcloop < langArray.Count; srcloop++)
{
IndexManager indexManager = new IndexManager((IndexingMode)int.Parse(args[0]), args[1], true);
for (int tgtloop = 0; tgtloop < langArray.Count; tgtloop++)
{
if (srcloop != tgtloop)
{
int src = srcloop;
int tgt = tgtloop;
IndexManager manager = indexManager;
tasks.Add(Task.Factory.StartNew(() =>
{
Console.WriteLine("[{0}]: Startingh alignement for language pair: {1}, {2}.", DateTime.Now, src, tgt);
string logPathSentence = @$ "{args[2]}\_{langArray[src]}_{langArray[tgt]}";
string logPathParagraph = @$ "{args[2]}\{langArray[src]}_{langArray[tgt]}";
System.IO.Directory.CreateDirectory(logPathSentence);
System.IO.Directory.CreateDirectory(logPathParagraph);
var go1 = new GeneticOptimizer <ParametrizedOptimizingAlignerCandidate <Paragraph>, ParametrizedSearchQuery, Paragraph>(manager, trainingSetReseedFrequency: 1, sourceLanguageIndex: src, targetLanguageIndex: tgt);
var go2 = new GeneticOptimizer <ParametrizedOptimizingAlignerCandidate <Sentence>, ParametrizedSearchQuery, Sentence>(manager, trainingSetReseedFrequency: 1, sourceLanguageIndex: src, targetLanguageIndex: tgt);
for (int i = 0; i < 8; i++)
{
Console.WriteLine("[{0}]: Starting iteration {1} for paragraph alignement for language pair: {2}, {3}.", DateTime.Now, i, langArray[src], langArray[tgt]);
go1.AdvanceGeneration();
go1.SaveState(logPathParagraph);
Console.WriteLine("[{0}]: Starting iteration {1} for sentence alignement for language pair: {2}, {3}.", DateTime.Now, i, langArray[src], langArray[tgt]);
go2.AdvanceGeneration();
go2.SaveState(logPathSentence);
Console.WriteLine("[{0}]: Completed iteration {1} for for language pair: {2}, {3}.", DateTime.Now, i, langArray[src], langArray[tgt]);
}
}, TaskCreationOptions.LongRunning));
private void ensureInitialized()
{
if (precedenceTree == null)
{
precedenceTree = new PathTree(paths);
evaluator = new TravelCostEvaluator(precedenceTree);
selector = new RouletteWheelSelector();
IMutator mutator = new ReverseSequenceMutator();
procreator = new SexualProcreator(new ShortestTravelCrossover(precedenceTree), mutator, 0.5);
Population genesis = new Population();
Individual individual0 = genesis.Append();
IReadOnlyList <PathNode> nodes = precedenceTree.NearestNeighborTraversal();
List <int> chromosome0 = individual0.GetChromosome();
chromosome0.AddRange(nodes.Select(node => node.Id));
//chromosome0.AddRange(Enumerable.Range(0, precedenceTree.Nodes.Count));
evaluator.Baseline(chromosome0);
//List<int> lastChromosome = chromosome0;
for (int i = 1; i < 100; i++)
{
List <int> chromosome = genesis.Append().GetChromosome();
chromosome.AddRange(chromosome0);
//chromosome.AddRange(lastChromosome);
mutator.Mutate(chromosome, random);
//lastChromosome = chromosome;
}
genesis.Freeze(evaluator);
optimizer = new GeneticOptimizer(genesis);
maxFitness = double.MinValue;
optimalPriorities = new List <int>();
}
}
