public void Setup(bool debug)
{
var readModel = new ReadModel(InputModelFile);
_weightVector = new WeightVector();
foreach (var pair in readModel.ModelIterator())
{
_weightVector.Add(pair);
}
_tags = new Tags(_tagList);
_viterbiForGlobalLinearModel = new ViterbiForGlobalLinearModel(_weightVector, _tags);
// read input file in a class and per line iterator.
var inputData = new ReadInputData(InputTestFile);
var writeModel = new WriteModel(_outputTestFile);
foreach (var line in inputData.GetSentence())
{
List<string> debugList;
var outputTags = _viterbiForGlobalLinearModel.Decode(line, debug, out debugList);
if (debug)
{
writeModel.WriteDataWithTagDebug(line, outputTags, debugList);
}
else
{
writeModel.WriteDataWithTag(line, outputTags);
}
}
writeModel.Flush();
}
public ViterbiForGlobalLinearModel(WeightVector weightVector, Tags tags)
{
WeightVector = weightVector;
Tags = tags;
Pi = new List<Dictionary<string, float>>();
Bp = new List<Dictionary<string, string>>();
}
public WeightedFeatureSum(WeightVector weightVector, List<string> sentence)
{
_sentence = sentence;
WeightVector = weightVector;
}
