private static void SuDeserializer(ModelSaver data, NeVeModel model)
{
model.MainVectors = data.MainVectorString.Select(x => Vector <double> .Build.Dense(Array.ConvertAll(x.Split(','), double.Parse))).ToList();
model.ContextVectors = data.ContextVectorString.Select(x => Vector <double> .Build.Dense(Array.ConvertAll(x.Split(','), double.Parse))).ToList();
var index = 0;
model.Word2Index = data.Indexer.Split(',').ToDictionary(x => x, x => index++);
}
public void ReadModel(string filename)
{
//var contents = File.ReadAllText(filename);
var data = new ModelSaver
{
MainVectorString = new List <string>(),
ContextVectorString = new List <string>(),
//Indexer = contents[2],
};//
var index = 0;
foreach (var item in File.ReadLines(filename))
{
if (string.IsNullOrEmpty(item))
{
index++;
}
else
{
switch (index)
{
case 0:
data.MainVectorString.Add(item);
break;
case 1:
data.ContextVectorString.Add(item);
break;
default:
data.Indexer = item;
break;
}
}
}
//var data = (ModelSaver)DataStructures.Deserialization(contents, typeof(ModelSaver));
SuDeserializer(data, this);
//this.WordCount = this.Word2Index.Count();
//this.Ip2VecSettings.NeuronCount = data.Y;
}
