/// <summary>
/// Perform an ANN search on the class' world, given a vector, returning the (approximate) k-best results.
/// </summary>
/// <param name="queryVector">The query vector.</param>
/// <param name="kBest">How many results should be returned (K-Value).</param>
/// <returns>A <see cref="QueryResult"/> object containing the K best results.</returns>
public QueryResult RunANNQuery(NamedFeatureVector queryVector, int kBest)
{
QueryResult queryresult = new QueryResult(queryVector.Name);
IList <SmallWorld <NamedFeatureVector, double> .KNNSearchResult> kBestResults = world.KNNSearch(queryVector, kBest);
foreach (SmallWorld <NamedFeatureVector, double> .KNNSearchResult queryitem in kBestResults)
{
queryresult.AddItem(new QueryItem(queryitem.Item.Name, queryitem.Distance));
}
return(queryresult);
}
/// <summary>
/// Reads a queryresult file, given a streamreader.
/// </summary>
/// <param name="reader">The streamreader.</param>
/// <returns>The array with queryresult.</returns>
public QueryResult[] ConvertFile(StreamReader reader)
{
if (reader == null)
{
throw new ArgumentNullException(nameof(reader));
}
List <QueryResult> results = new List <QueryResult>();
using (CsvReader csv = CsvReader(reader)) {
// Csv syntax for reading headers.
csv.Read();
csv.ReadHeader();
// Read the header, to see which measures there are.
string[] kNames = FilterHeader(csv);
// Find the individual values.
while (csv.Read())
{
// Check to see if there is an entry here.
if (!csv.TryGetField(MeshName, out string name))
{
break;
}
QueryResult query = new QueryResult(name);
foreach (string kName in kNames)
{
if (csv.TryGetField(kName, out string serialised) &&
QueryItem.TryParse(serialised, out QueryItem item))
{
query.AddItem(item);
}
}
//else break;
results.Add(query);
}
}
return(results.ToArray());
}