/// <summary>
/// Copies matching terms from external document> adds new if have to, rise the abs frequency if exists
/// </summary>
/// <param name="source">The source.</param>
/// <param name="CopyFrequencies">if set to <c>true</c> [copy frequencies].</param>
public void AddExternalDocument(IWeightTable source, bool CopyFrequencies)
{
int c = Count();
List <string> new_terms = source.GetAllTermString();
foreach (var nt in source.GetAllTerms())
{
if (CopyFrequencies)
{
Add(source.GetMatchTermByName(nt), source.GetAFreq(nt));
}
else
{
Add(source.GetMatchTermByName(nt));
}
}
int a = Count() - c;
}
public static double GetScoreAggregate(this IEnumerable <IWeightTableTerm> terms, IWeightTable table, termTableColumns scoreToUse = termTableColumns.tf_idf, dataPointAggregationType aggregation = dataPointAggregationType.sum)
{
List <double> output = new List <double>();
foreach (IWeightTableTerm term in terms)
{
switch (scoreToUse)
{
case termTableColumns.cw:
output.Add(table.GetWeight(term));
break;
case termTableColumns.df:
output.Add(table.GetBDFreq(term));
break;
case termTableColumns.freqAbs:
output.Add(table.GetAFreq(term));
break;
case termTableColumns.freqNorm:
output.Add(table.GetNFreq(term));
break;
case termTableColumns.idf:
output.Add(table.GetIDF(term));
break;
case termTableColumns.ncw:
output.Add(table.GetNWeight(term));
break;
case termTableColumns.none:
break;
case termTableColumns.words:
case termTableColumns.normalizedSemanticDistance:
case termTableColumns.semanticDistance:
case termTableColumns.termLemma:
case termTableColumns.termName:
throw new NotImplementedException();
break;
case termTableColumns.tf_idf:
output.Add(table.GetTF_IDF(term));
break;
}
}
switch (aggregation)
{
case dataPointAggregationType.avg:
return(output.Average());
break;
case dataPointAggregationType.count:
return(output.Count());
break;
case dataPointAggregationType.max:
return(output.Max());
break;
case dataPointAggregationType.min:
return(output.Min());
break;
case dataPointAggregationType.range:
return(output.Max() - output.Min());
break;
case dataPointAggregationType.sum:
return(output.Sum());
break;
default:
throw new dataException("Operation not supported [" + aggregation.toString() + "]", null, table, "Aggregation operation not supported");
return(0);
break;
}
return(0);
}