public EmbeddingView()
{
InitializeComponent();
WindowState = FormWindowState.Maximized;
embedding = new Embedding();
embedding.Train("corpus.db");
}
/// <summary>
/// Weighted average of all embeddings
/// </summary>
/// <param name="document">List of words</param>
/// <returns>value</returns>
public Vector <double> WeightedAverage(List <string> document)
{
Vector <double> avg = Vectors.Dense(Embedding.EmbeddingSize);
foreach (string word in document)
{
double weight = Tf_Idf(word, document);
avg += Embedding.Lookup(word) * weight;
}
return(avg / document.Count);
}
public AverageEmbedding()
{
CorpusSize = 0;
CorpusAppearances = new Dictionary <string, int>();
Embedding = new Embedding();
Embedding.Load("embedding.db");
W1 = Matrices.Random(Embedding.EmbeddingSize, HiddenSize).Map(p => p * 0.01);
B1 = Vectors.Dense(HiddenSize);
W2 = Matrices.Random(HiddenSize, Classes).Map(p => p * 0.01);
B2 = Vectors.Dense(Classes);
}
