public static LLNAModel Create(int k, Corpus corpus, CorrelatedTopicModelParameters parameters)
{
var result = new LLNAModel(parameters)
{
K = k,
Mu = Vector <double> .Build.Dense(k - 1),
LogBeta = Matrix <double> .Build.Dense(k, corpus.VocabularySize, 0),
};
result.Covariance = Matrix <double> .Build.DenseIdentity(k - 1, k - 1);
result.InvCovariance = result.Covariance.Inverse();
result.InvCovariance.Display();
result.LogDeterminantInvCovariance = result.InvCovariance.ComputeLNDeterminant();
result.Init(corpus);
return(result);
}
private LLNAModel(CorrelatedTopicModelParameters parameters)
{
_parameters = parameters;
}
