public void TrainNewModel(Corpora cor, CommandLineOption opt)
{
InitOption(opt);
InitModel(cor);
PrintModelInfo();
GibbsSampling(niters);
}
public void TrainNewModel(Corpora cor, CommandLineOption opt, string outputFile)
{
this.outputfile = outputFile;
InitOption(opt);
InitModel(cor);
PrintModelInfo();
GibbsSampling(niters);
}
static void Main(string[] args)
{
CommandLineOption opt = GetDefaultOption();
Parser parser = new Parser();
var stopwatch = new Stopwatch();
try
{
parser.ParseArguments(args, opt);
string[] info = File.ReadAllLines(opt.info);
int sourceAuthorNum = Convert.ToInt32(info[0]);
int targetAuthorNum = Convert.ToInt32(info[1]);
int sourcePaperNum = Convert.ToInt32(info[2]);
int targetPaperNum = Convert.ToInt32(info[3]);
int collaborationPaperNum = Convert.ToInt32(info[4]);
List <string> papers = File.ReadAllLines(opt.papers).ToList();
List <string> authors = File.ReadAllLines(opt.authors).ToList();
var sourcePapers = papers.Take(sourcePaperNum).ToArray();
var targetPapers = papers.Skip(sourcePaperNum).Take(targetPaperNum).ToArray();
var collaborationPapers = papers.Skip(sourcePaperNum + targetPaperNum).ToArray();
var sourceAuthors = authors.Take(sourcePaperNum).ToArray();
var targetAuthors = authors.Skip(sourcePaperNum).Take(targetPaperNum).ToArray();
var collaborationAuthors = authors.Skip(sourcePaperNum + targetPaperNum).ToArray();
int vocabSize = 12;
Corpora sourceCor = new Corpora(vocabSize, sourceAuthorNum);
sourceCor.LoadDataFile(sourcePapers, sourceAuthors);
ACTPhraseSampling sourceModel = new ACTPhraseSampling();
sourceModel.TrainNewModel(sourceCor, opt, "outSource.txt");
Corpora targetCor = new Corpora(vocabSize, targetAuthorNum);
targetCor.LoadDataFile(targetPapers, targetAuthors);
ACTPhraseSampling targetModel = new ACTPhraseSampling();
targetModel.TrainNewModel(targetCor, opt, "outTarget.txt");
Corpora collaborationCor = new Corpora(vocabSize, 0);
collaborationCor.LoadDataFile(collaborationPapers, collaborationAuthors);
CTLPhraseSampling collaborationModel = new CTLPhraseSampling(sourceModel, targetModel);
collaborationModel.TrainNewModel(collaborationCor, opt, "outColl.txt");
}
catch (Exception ex)
{
Console.WriteLine(ex.StackTrace);
Console.WriteLine(ex.Message);
}
Console.ReadLine();
}
static private CommandLineOption GetDefaultOption()
{
CommandLineOption option = new CommandLineOption();
option.alpha = 0.1;
option.beta = 0.01;
option.topics = 2;
option.savestep = 1000;
option.niters = 1000; //1000; GANTIIIIIIIIIII PLUS VOCAB SIZE
option.twords = 3;
option.info = "info.txt";
option.papers = "papers.txt";
option.authors = "authors.txt";
return(option);
}
public void InitOption(CommandLineOption opt)
{
try
{
K = opt.topics;
alpha = opt.alpha;
beta = opt.beta;
savestep = opt.savestep;
niters = opt.niters;
twords = opt.twords;
}
catch (Exception ex)
{
throw ex;
}
}
public void InitOption(CommandLineOption opt)
{
try
{
//K = opt.topics;
alpha = opt.alpha;
beta = opt.beta;
savestep = 10; //opt.savestep;
niters = 100; //opt.niters; JANGAN LUPAAAAAAAAAAAAAAAAAAAAAAAAAAA
twords = opt.twords;
}
catch (Exception ex)
{
throw ex;
}
}