public WeightDictionaryEntry GetElementFactorEntry(string term, SpaceModel space, SpaceLabel label = null)
{
WeightDictionaryEntry output = new WeightDictionaryEntry(term, 0);
switch (resultType)
{
case FunctionResultTypeEnum.numeric:
output = new WeightDictionaryEntry(term, GetElementFactor(term, space, label));
break;
case FunctionResultTypeEnum.numericVectorForMultiClass:
Double[] vec = new double[space.labels.Count];
Int32 c = 0;
foreach (SpaceLabel lb in space.labels)
{
vec[c] = GetElementFactor(term, space, lb);
c++;
}
output = new WeightDictionaryEntry(term, vec);
// output.AddEntry(term, vec);
break;
}
if (!DistinctReturns.ContainsKey(output.weight))
{
DistinctReturns.Add(output.weight, term);
}
return(output);
}
public WeightDictionaryEntry GetElementFactorEntry(string term, SpaceModel space, SpaceLabel label = null)
{
Double score = GetElementFactor(term, space, label);
WeightDictionaryEntry entry = new WeightDictionaryEntry(term, score);
return(entry);
}
/// <summary>
/// Gets the weights.
/// </summary>
/// <param name="termWhiteList">The term white list.</param>
/// <param name="document">The document.</param>
/// <param name="space">The space.</param>
/// <param name="label">The label.</param>
/// <returns></returns>
public WeightDictionary GetWeights(List <String> termWhiteList, SpaceDocumentModel document, SpaceModel space, SpaceLabel label = null)
{
WeightDictionary output = new WeightDictionary();
output.name = GetSignature() + "_" + document.name;
output.description = "Feature weight table constructed by [" + GetSignature() + "] for features [" + termWhiteList.Count + "] in document [" + document.name + "]";
output.nDimensions = nDimensions;
if (KERNELOPTION_USE_WHITELISTTERMS)
{
foreach (String term in termWhiteList)
{
if (document.terms.Contains(term))
{
throw new NotImplementedException();
//output.entries.Add(entry);
}
}
}
else
{
List <String> terms = document.terms.GetTokens();
for (int i = 0; i < document.terms.Count; i++)
{
String term = terms[i];
WeightDictionaryEntry entry = new WeightDictionaryEntry(term, 0);
if (DoUseLocalFunction)
{
entry = LocalFunction.GetElementFactorEntry(term, document);
}
foreach (FeatureWeightFactor gf in GlobalFactors)
{
entry = entry * (gf.GlobalFunction.GetElementFactorEntry(term, space, label) * gf.weight);
}
if (document.weight != 1)
{
entry = entry * document.weight;
}
output.Merge(entry);
//output.AddEntry(term, entry.dimensions, false);
}
}
return(output);
}
public WeightDictionaryEntry GetCompositeEntry(String term, SpaceDocumentModel document, SpaceModel space)
{
WeightDictionaryEntry output = new WeightDictionaryEntry(term, 0);
List <Double> dimensions = new List <double>();
dimensions.Add(LocalFunction.GetElementFactor(term, document));
foreach (var gf in GlobalFactors)
{
dimensions.Add(gf.GlobalFunction.GetElementFactor(term, space) * gf.weight);
}
output.dimensions = dimensions.ToArray();
return(output);
}
/// <summary>
/// Constructs global weight fictionary using global elements
/// </summary>
/// <param name="terms">The terms.</param>
/// <param name="space">The space.</param>
/// <param name="label">The label.</param>
/// <returns></returns>
public WeightDictionary GetElementFactors(IEnumerable <string> terms, SpaceModel space, SpaceLabel label = null)
{
var output = new WeightDictionary();
output.name = GetSignature() + "_globalOnly";
foreach (String term in terms)
{
Double score = GetElementFactor(term, space, label);
WeightDictionaryEntry entry = new WeightDictionaryEntry(term, score);
output.AddEntry(entry, true);
}
output.description = "Global weights for [" + output.Count + "] terms.";
return(output);
}
