private TopicProbability[][] CalculateDensityOfTopicsInDocsSorted(int max_topics_to_retain)
{
try
{
TopicProbability[][] local_density_of_topics_in_docs_sorted = new TopicProbability[lda.NUM_DOCS][];
// How many topics will we remember for each doc?
int topics_to_retain = max_topics_to_retain;
if (topics_to_retain <= 0)
{
topics_to_retain = lda.NUM_TOPICS;
}
else if (topics_to_retain > lda.NUM_TOPICS)
{
topics_to_retain = lda.NUM_TOPICS;
}
// Calculate the density
float[,] densityoftopicsindocuments = DensityOfTopicsInDocuments;
Parallel.For(0, lda.NUM_DOCS, (doc) =>
//for (int doc = 0; doc < lda.NUM_DOCS; ++doc)
{
TopicProbability[] density_of_topics_in_doc = new TopicProbability[lda.NUM_TOPICS];
for (int topic = 0; topic < lda.NUM_TOPICS; ++topic)
{
density_of_topics_in_doc[topic] = new TopicProbability(densityoftopicsindocuments[doc, topic], topic);
}
Array.Sort(density_of_topics_in_doc);
// Copy the correct number of items to retain
if (topics_to_retain == lda.NUM_TOPICS)
{
local_density_of_topics_in_docs_sorted[doc] = density_of_topics_in_doc;
}
else
{
local_density_of_topics_in_docs_sorted[doc] = new TopicProbability[topics_to_retain];
Array.Copy(density_of_topics_in_doc, local_density_of_topics_in_docs_sorted[doc], topics_to_retain);
}
});
return(local_density_of_topics_in_docs_sorted);
}
catch (Exception ex)
{
Logging.Error(ex, "Internal LDAAnalysis error.");
// terminate app
throw;
}
}
public int CompareTo(object other_obj)
{
TopicProbability other = other_obj as TopicProbability;
return(-prob.CompareTo(other.prob));
}
