/// <summary>
/// Queries table for specified terms and return aggregated score. The score source is specified by <see cref="termTableColumns.tf_idf"/> (only numeric columns are supported).
/// </summary>
/// <param name="queryTerms">Terms to test against the table, terms found are used in calculation.</param>
/// <param name="scoreToUse">What numeric property of matched term to use for aggregation.</param>
/// <param name="aggregation">The aggregation type</param>
/// <returns>Any score information from the query terms is ignored.</returns>
public static double GetScoreForMatch(this IWeightTable table, IEnumerable <string> queryTerms, termTableColumns scoreToUse = termTableColumns.tf_idf, dataPointAggregationType aggregation = dataPointAggregationType.sum)
{
List <IWeightTableTerm> output = new List <IWeightTableTerm>();
output = table.GetMatches(queryTerms);
return(output.GetScoreAggregate(table, scoreToUse, aggregation));
}
/// <summary>
/// Returns the matching term entries
/// </summary>
/// <param name="queryTerms">The query terms.</param>
/// <returns></returns>
public static List <IWeightTableTerm> GetMatches(this IWeightTable table, IEnumerable <IWeightTableTerm> queryTerms)
{
List <IWeightTableTerm> output = new List <IWeightTableTerm>();
List <string> expandedQuery = new List <string>();
foreach (IWeightTableTerm qt in queryTerms)
{
expandedQuery.AddUnique(qt.GetAllForms());
}
//queryTerms.ForEach(x => expandedQuery.AddRangeUnique(x.GetAllForms()));
return(table.GetMatches(expandedQuery));
}