public DSSMModel(string name, string commonModelPath, Vocab vocab, int sourceWindowSize, int targetWindowSize, bool compatibilityMode)
{
this.Name = name;
this.SourceModel = new DNN();
this.SourceModel.LoadModelV0(commonModelPath, compatibilityMode);
this.TargetModel = this.SourceModel;
this.Vocabulary = vocab;
this.SourceWindowSize = sourceWindowSize;
this.TargetWindowSize = targetWindowSize;
}
private double[] GetEmbeddings(DNN model, string text, int windowSize, FeatureType featureType, int nHashCount)
{
text = TextUtils.N1Normalize(text);
if (text.Length == 0)
{
text = "#";
}
List <Dictionary <int, double> > rgSideWfs = new List <Dictionary <int, double> >();
var featStrFeq = TextUtils.String2FeatStrSeq(text, 3, windowSize, featureType); // letter N-gram
if (featureType == FeatureType.wordhash)
{
rgSideWfs = TextUtils.StrFreq2IdFreq(featStrFeq, nHashCount);
}
else
{
rgSideWfs = TextUtils.StrFreq2IdFreq(featStrFeq, this.Vocabulary);
}
return(model.Fprop(rgSideWfs));
}