public void ReadModel(string filename)
{
string contents = File.ReadAllText(filename);
var data = (ModelSaver)DataStructures.Deserialization(contents, typeof(ModelSaver));
Ip2VecModel.SuDeserializer(data, this);
//this.WordCount = this.Word2Index.Count();
//this.Ip2VecSettings.NeuronCount = data.Y;
}
private static void SuDeserializer(ModelSaver data, Ip2VecModel ipNumerizerByIp2Vec)
{
var w1array = Array.ConvertAll(data.W1String.Split(','), double.Parse);
var w2array = Array.ConvertAll(data.W2String.Split(','), double.Parse);
ipNumerizerByIp2Vec.W1 = Matrix <double> .Build.Dense(data.X, data.Y, w1array);
ipNumerizerByIp2Vec.W2 = Matrix <double> .Build.Dense(data.X, data.Y, w2array);
var words = data.Indexer.Split(',');
for (int i = 0; i < words.Count(); i++)
{
ipNumerizerByIp2Vec.Index2Word[i] = words[i];
ipNumerizerByIp2Vec.Word2Index[words[i]] = i;
}
ipNumerizerByIp2Vec.Frequency = data.Frequencies.Split(',').Select(x => int.Parse(x)).ToList();
}
private static ModelSaver PreSerializer(Ip2VecModel ipNumerizerByIp2Vec)
{
var w1string = string.Join(",", ipNumerizerByIp2Vec.W1.ToColumnMajorArray().Select(x => x.ToString("R")));
var w2string = string.Join(",", ipNumerizerByIp2Vec.W2.ToColumnMajorArray().Select(x => x.ToString("R")));
var words = new string[ipNumerizerByIp2Vec.Index2Word.Count];
for (int i = 0; i < ipNumerizerByIp2Vec.Index2Word.Count; i++)
{
words[i] = ipNumerizerByIp2Vec.Index2Word[i];
}
var wordsarray = string.Join(",", words);
var frequencies = string.Join(",", ipNumerizerByIp2Vec.Frequency);
return(new ModelSaver
{
W1String = w1string,
W2String = w2string,
Indexer = wordsarray,
X = ipNumerizerByIp2Vec.W1.RowCount,
Y = ipNumerizerByIp2Vec.W1.ColumnCount,
Frequencies = frequencies,
});
}
