public static void Main(string[] args)
{
const string dataset = "nips12raw_str602";
string filename = Path.Combine(DataPath, dataset + ".mat");
var dataList = MatlabReader.List(filename);
var counts = MatlabReader.Read <double>(filename, "counts");
var wc = MatlabReader.Read <double>(filename, "wc");
// var lda = new LDA(wc.RowCount, 20);
const int batches = 100;
var lda = new LDAShared(batches, wc.RowCount, 20);
var wordsInDoc = counts.EnumerateColumns()
.Select(row => row.EnumerateIndexed().ToDictionary(ia => ia.Item1, ia => (int)ia.Item2))
.ToArray();
Dirichlet[] postTheta;
Dirichlet[] postPhi;
lda.Infer(wordsInDoc, 1.0, 1.0, out postTheta, out postPhi);
var ldaPredict = new LDAPredictionModel(wc.RowCount, 20);
var predictions = ldaPredict.Predict(postTheta, postPhi);
foreach (var prediction in predictions)
{
Console.WriteLine(prediction);
}
}
