public void Train(DataSet data, Generation gen, IEnumerable <MixtureInfo> population, Action <TrainProgress> progress)
{
var total = population.Count() * population.First().Chromosomes.Length;
var numTrained = 0;
var q = population.SelectMany(mixture => mixture.Chromosomes.Select(chrom => new { mixture, chrom })).ToList();
Parallel.ForEach(q, GetParallelOptions(), z => {
TrainerCommon.Train(gen.Database, z.mixture.MixtureId, data, z.chrom);
numTrained++;
progress(new TrainProgress(numTrained, total));
});
}
public void Train(DataSet data, Generation gen, IEnumerable <MixtureInfo> population, Action <TrainProgress> progress)
{
var total = population.Count() * population.First().Chromosomes.Length;
var numTrained = 0;
foreach (var mi in population)
{
foreach (var chrom in mi.Chromosomes)
{
TrainerCommon.Train(gen.Database, mi.MixtureId, data, chrom);
numTrained++;
progress(new TrainProgress(numTrained, total));
}
}
}
void Train(TrainRequest req, Func <bool> cancelled)
{
TrainerCommon.Train(Database, new ObjectId(req.MixtureId), TrainingSet, req.Chromosome, cancelled);
}
void Handle(TrainRequest req)
{
TrainerCommon.Train(Database, new ObjectId(req.MixtureId), TrainingSet, req.Chromosome);
}
