public void GenerateReportFromLatestEmbeddings()
{
var embeddingsFile = new DirectoryInfo($@"{Directory.GetCurrentDirectory()}/{ResultsDirectory}").EnumerateFiles()
.Where(f => Regex.IsMatch(f.Name, "^wordEmbeddings-.*$"))
.OrderBy(f => f.CreationTime)
.Last();
var reportFileLoc = $@"{Directory.GetCurrentDirectory()}/{ResultsDirectory}/report-{DateTime.Now.Ticks}.csv";
var wordEmbeddings = new List <WordEmbedding>();
using var fileStream = new FileStream(embeddingsFile.FullName, FileMode.OpenOrCreate, FileAccess.Read);
using var reader = new StreamReader(fileStream, Encoding.UTF8);
wordEmbeddings.PopulateWordEmbeddingsFromStream(reader);
wordEmbeddings.NormaliseEmbeddings();
var articleEmbeddings = new List <ArticleEmbedding>();
foreach (var line in File.ReadLines(InputFileLoc))
{
var splitLine = line.Split(',');
articleEmbeddings.Add(new ArticleEmbedding(splitLine[0], string.Join(' ', splitLine.Skip(1)), maxContentsLength: 500));
}
articleEmbeddings.AssignVectorsFromWeightedWordEmbeddings(wordEmbeddings);
var kMeans = new KMeans(articleEmbeddings);
kMeans.CalculateLabelClusterMap(
numberOfClusters: 25
);
var reportHandler = new ReportWriter(reportFileLoc);
reportHandler.WriteLabelsWithClusterIndex(kMeans.LabelClusterMap);
}
public void PutXElementsInXClusters(int x)
{
var embeddings = new List <WordEmbedding>();
for (var i = 0; i < x; i++)
{
var embedding = new double[x];
embedding[i] = 1d;
embeddings.Add(new WordEmbedding(i.ToString(), embedding));
}
var kMeans = new KMeans(embeddings);
kMeans.CalculateLabelClusterMap(numberOfClusters: x);
Assert.Equal(x, kMeans.LabelClusterMap.Keys.Distinct().Count());
}
public void CorrectlyAssignClusters(List <IEmbedding> embeddings, int numberOfClusters, List <List <string> > desiredClusters)
{
var kMeans = new KMeans(embeddings);
kMeans.CalculateLabelClusterMap(numberOfClusters: numberOfClusters);
var clusters = kMeans.LabelClusterMap.GroupBy(lcm => lcm.Value);
foreach (var cluster in clusters)
{
var elements = cluster.ToArray();
var desiredCluster = desiredClusters.First(dc => dc.Contains(elements[0].Key));
// assert desired and actual cluster contain the same elements
Assert.Equal(desiredCluster.Count, elements.Length);
foreach (var element in elements)
{
Assert.Contains(desiredCluster, x => x == element.Key);
}
}
}