public WordEMWrapFeaturizer(string filename)
{
Txt2Vec.Decoder decoder = new Txt2Vec.Decoder();
decoder.LoadBinaryModel(filename);
string[] terms = decoder.GetAllTerms();
vectorSize = decoder.GetVectorSize();
m_WordEmbedding = new Dictionary<string, SingleVector>();
m_UnkEmbedding = new SingleVector(vectorSize);
foreach (string term in terms)
{
double[] vector = decoder.GetVector(term);
if (vector != null)
{
SingleVector spVector = new SingleVector(vectorSize, vector);
spVector.Normalize();
m_WordEmbedding.Add(term, spVector);
}
}
}
