public ThreadInfoObject(ComputeGradient cg, int start, int end, WeightVector wc, ManualResetEvent resetEvent)
{
Gradient = cg;
Start = start;
End = end;
NewWeightVector = wc;
ResetEvent = resetEvent;
}
static void TrainingTest(List<string> tags)
{
//const string modelFile = "../../data/gene.key.model";
//const string input = "../../data/gene.key";
const string modelFile = "../../data/training/tag.model.trial1";
const string input = "../../data/training/NYT_19980403_parsed.key";
string LoggerFile = "../../Logs/Log_"+DateTime.Now.ToFileTime()+".txt";
const int threadCount = 1;
var perceptron = new Perceptron(input, modelFile, tags);
perceptron.Train();
perceptron.ReMapFeatureToK();
//perceptron.Dump();
perceptron.MapFeatures.Dump();
perceptron.ReadInputs();
var featureCache = new FeatureCache(perceptron.InputSentences, tags,
perceptron.MapFeatures.DictFeaturesToK);
featureCache.CreateCache();
var logger = new WriteModel(LoggerFile);
var gradient = new ComputeGradient(perceptron.InputSentences, perceptron.TagsList,
tags, .1, featureCache, logger);
//perceptron.WeightVector.ResetAllToZero();
gradient.RunIterations(perceptron.WeightVector, 10, threadCount);
gradient.Dump(modelFile, perceptron.MapFeatures.DictKToFeatures);
}
static void TrainingTest(List<string> tags)
{
//const string modelFile = "../../data/gene.key.model";
//const string input = "../../data/gene.key";
const string modelFile = "../../data/training/tag.model.trial1";
const string input = "../../data/training/NYT_19980403_parsed.key";
var perceptron = new Perceptron(input, modelFile, tags);
perceptron.Train();
perceptron.ReMapFeatureToK();
perceptron.Dump();
perceptron.MapFeatures.Dump();
perceptron.ReadInputs();
var featureCache = new FeatureCache(perceptron.InputSentences, tags,
perceptron.MapFeatures.DictFeaturesToK);
featureCache.CreateCache();
var gradient = new ComputeGradient(perceptron.InputSentences, perceptron.TagsList,
tags, .1, featureCache);
gradient.RunIterations(perceptron.WeightVector, 10);
gradient.Dump(modelFile, perceptron.MapFeatures.DictKToFeatures);
}
