public override sealed Explanation Explain(BasicStats stats)
{
Explanation result = new Explanation();
result.Description = this.GetType().Name + ", computed from: ";
result.Value = CalculateLambda(stats);
result.AddDetail(new Explanation(stats.DocFreq, "docFreq"));
result.AddDetail(new Explanation(stats.NumberOfDocuments, "numberOfDocuments"));
return result;
}
public override sealed Explanation Explain(BasicStats stats, float tfn)
{
Explanation result = new Explanation();
result.Description = this.GetType().Name + ", computed from: ";
result.Value = Score(stats, tfn);
result.AddDetail(new Explanation(tfn, "tfn"));
result.AddDetail(new Explanation(stats.TotalTermFreq, "totalTermFreq"));
result.AddDetail(new Explanation(stats.DocFreq, "docFreq"));
return result;
}
/// <summary>
/// Returns an explanation for the score.
/// <p>Most basic models use the number of documents and the total term
/// frequency to compute Inf<sub>1</sub>. this method provides a generic
/// explanation for such models. Subclasses that use other statistics must
/// override this method.</p>
/// </summary>
public virtual Explanation Explain(BasicStats stats, float tfn)
{
Explanation result = new Explanation();
result.Description = this.GetType().Name + ", computed from: ";
result.Value = Score(stats, tfn);
result.AddDetail(new Explanation(tfn, "tfn"));
result.AddDetail(new Explanation(stats.NumberOfDocuments, "numberOfDocuments"));
result.AddDetail(new Explanation(stats.TotalTermFreq, "totalTermFreq"));
return result;
}
/// <summary>
/// Returns an explanation for the normalized term frequency.
/// <p>The default normalization methods use the field length of the document
/// and the average field length to compute the normalized term frequency.
/// this method provides a generic explanation for such methods.
/// Subclasses that use other statistics must override this method.</p>
/// </summary>
public virtual Explanation Explain(BasicStats stats, float tf, float len)
{
Explanation result = new Explanation();
result.Description = this.GetType().Name + ", computed from: ";
result.Value = Tfn(stats, tf, len);
result.AddDetail(new Explanation(tf, "tf"));
result.AddDetail(new Explanation(stats.AvgFieldLength, "avgFieldLength"));
result.AddDetail(new Explanation(len, "len"));
return result;
}
private Explanation ExplainScore(int doc, Explanation freq, IDFStats stats, NumericDocValues norms)
{
Explanation result = new Explanation();
// LUCENENET specific - using freq.Value is a change that was made in Lucene 5.0, but is included
// in 4.8.0 to remove annoying newlines from the output.
// See: https://github.com/apache/lucene-solr/commit/f0bfcbc7d8fbc5bb2791da60af559e8b0ad6eed6
result.Description = "score(doc=" + doc + ",freq=" + freq.Value + "), product of:";
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.Description = "queryWeight, product of:";
Explanation boostExpl = new Explanation(stats.QueryBoost, "boost");
if (stats.QueryBoost != 1.0f)
{
queryExpl.AddDetail(boostExpl);
}
queryExpl.AddDetail(stats.Idf);
Explanation queryNormExpl = new Explanation(stats.QueryNorm, "queryNorm");
queryExpl.AddDetail(queryNormExpl);
queryExpl.Value = boostExpl.Value * stats.Idf.Value * queryNormExpl.Value;
result.AddDetail(queryExpl);
// explain field weight
Explanation fieldExpl = new Explanation();
fieldExpl.Description = "fieldWeight in " + doc + ", product of:";
Explanation tfExplanation = new Explanation();
tfExplanation.Value = Tf(freq.Value);
tfExplanation.Description = "tf(freq=" + freq.Value + "), with freq of:";
tfExplanation.AddDetail(freq);
fieldExpl.AddDetail(tfExplanation);
fieldExpl.AddDetail(stats.Idf);
Explanation fieldNormExpl = new Explanation();
float fieldNorm = norms != null?DecodeNormValue(norms.Get(doc)) : 1.0f;
fieldNormExpl.Value = fieldNorm;
fieldNormExpl.Description = "fieldNorm(doc=" + doc + ")";
fieldExpl.AddDetail(fieldNormExpl);
fieldExpl.Value = tfExplanation.Value * stats.Idf.Value * fieldNormExpl.Value;
result.AddDetail(fieldExpl);
// combine them
result.Value = queryExpl.Value * fieldExpl.Value;
if (queryExpl.Value == 1.0f)
{
return(fieldExpl);
}
return(result);
}
/// <summary>
/// Explain the custom score.
/// Whenever overriding <see cref="CustomScore(int, float, float)" />,
/// this method should also be overridden to provide the correct explanation
/// for the part of the custom scoring.
///
/// </summary>
/// <param name="doc">doc being explained</param>
/// <param name="subQueryExpl">explanation for the sub-query part</param>
/// <param name="valSrcExpl">explanation for the value source part</param>
/// <returns>an explanation for the custom score</returns>
public virtual Explanation CustomExplain(int doc, Explanation subQueryExpl, Explanation valSrcExpl)
{
float valSrcScore = 1;
if (valSrcExpl != null)
{
valSrcScore *= valSrcExpl.GetValue();
}
Explanation exp = new Explanation(valSrcScore * subQueryExpl.GetValue(), "custom score: product of:");
exp.AddDetail(subQueryExpl);
exp.AddDetail(valSrcExpl);
return exp;
}
private Explanation ExplainScore(int doc, Explanation freq, BM25Stats stats, NumericDocValues norms)
{
Explanation result = new Explanation();
result.Description = "score(doc=" + doc + ",freq=" + freq + "), product of:";
Explanation boostExpl = new Explanation(stats.QueryBoost * stats.TopLevelBoost, "boost");
if (boostExpl.Value != 1.0f)
{
result.AddDetail(boostExpl);
}
result.AddDetail(stats.Idf);
Explanation tfNormExpl = new Explanation();
tfNormExpl.Description = "tfNorm, computed from:";
tfNormExpl.AddDetail(freq);
tfNormExpl.AddDetail(new Explanation(K1_Renamed, "parameter k1"));
if (norms == null)
{
tfNormExpl.AddDetail(new Explanation(0, "parameter b (norms omitted for field)"));
tfNormExpl.Value = (freq.Value * (K1_Renamed + 1)) / (freq.Value + K1_Renamed);
}
else
{
float doclen = DecodeNormValue((sbyte)norms.Get(doc));
tfNormExpl.AddDetail(new Explanation(b, "parameter b"));
tfNormExpl.AddDetail(new Explanation(stats.Avgdl, "avgFieldLength"));
tfNormExpl.AddDetail(new Explanation(doclen, "fieldLength"));
tfNormExpl.Value = (freq.Value * (K1_Renamed + 1)) / (freq.Value + K1_Renamed * (1 - b + b * doclen / stats.Avgdl));
}
result.AddDetail(tfNormExpl);
result.Value = boostExpl.Value * stats.Idf.Value * tfNormExpl.Value;
return result;
}
public override Explanation Explain(IndexReader reader, int doc)
{
ComplexExplanation result = new ComplexExplanation();
result.Description = "weight(" + Query + " in " + doc + "), product of:";
System.String field = ((SpanQuery) Query).Field;
Explanation idfExpl = new Explanation(idf, "idf(" + field + ": " + idfExp.Explain() + ")");
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.Description = "queryWeight(" + Query + "), product of:";
Explanation boostExpl = new Explanation(Query.Boost, "boost");
if (Query.Boost != 1.0f)
queryExpl.AddDetail(boostExpl);
queryExpl.AddDetail(idfExpl);
Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
queryExpl.AddDetail(queryNormExpl);
queryExpl.Value = boostExpl.Value * idfExpl.Value * queryNormExpl.Value;
result.AddDetail(queryExpl);
// explain field weight
ComplexExplanation fieldExpl = new ComplexExplanation();
fieldExpl.Description = "fieldWeight(" + field + ":" + internalQuery.ToString(field) + " in " + doc + "), product of:";
Explanation tfExpl = ((SpanScorer)Scorer(reader, true, false)).Explain(doc);
fieldExpl.AddDetail(tfExpl);
fieldExpl.AddDetail(idfExpl);
Explanation fieldNormExpl = new Explanation();
byte[] fieldNorms = reader.Norms(field);
float fieldNorm = fieldNorms != null?Similarity.DecodeNorm(fieldNorms[doc]):1.0f;
fieldNormExpl.Value = fieldNorm;
fieldNormExpl.Description = "fieldNorm(field=" + field + ", doc=" + doc + ")";
fieldExpl.AddDetail(fieldNormExpl);
fieldExpl.Match = tfExpl.IsMatch;
fieldExpl.Value = tfExpl.Value * idfExpl.Value * fieldNormExpl.Value;
result.AddDetail(fieldExpl);
System.Boolean? tempAux = fieldExpl.Match;
result.Match = tempAux;
// combine them
result.Value = queryExpl.Value * fieldExpl.Value;
if (queryExpl.Value == 1.0f)
return fieldExpl;
return result;
}
/// <summary>
/// Explain the score for a single document </summary>
/// <param name="doc"> document id within the inverted index segment </param>
/// <param name="freq"> Explanation of how the sloppy term frequency was computed </param>
/// <returns> document's score </returns>
public virtual Explanation Explain(int doc, Explanation freq)
{
Explanation result = new Explanation(Score(doc, freq.Value), "score(doc=" + doc + ",freq=" + freq.Value + "), with freq of:");
result.AddDetail(freq);
return result;
}
/// <summary>
/// Explains the score. The implementation here provides a basic explanation
/// in the format <em>score(name-of-similarity, doc=doc-id,
/// freq=term-frequency), computed from:</em>, and
/// attaches the score (computed via the <seealso cref="#score(BasicStats, float, float)"/>
/// method) and the explanation for the term frequency. Subclasses content with
/// this format may add additional details in
/// <seealso cref="#explain(Explanation, BasicStats, int, float, float)"/>.
/// </summary>
/// <param name="stats"> the corpus level statistics. </param>
/// <param name="doc"> the document id. </param>
/// <param name="freq"> the term frequency and its explanation. </param>
/// <param name="docLen"> the document length. </param>
/// <returns> the explanation. </returns>
public virtual Explanation Explain(BasicStats stats, int doc, Explanation freq, float docLen)
{
Explanation result = new Explanation();
result.Value = Score(stats, freq.Value, docLen);
result.Description = "score(" + this.GetType().Name + ", doc=" + doc + ", freq=" + freq.Value + "), computed from:";
result.AddDetail(freq);
Explain(result, stats, doc, freq.Value, docLen);
return result;
}
private Explanation ExplainScore(int doc, Explanation freq, IDFStats stats, NumericDocValues norms)
{
Explanation result = new Explanation();
result.Description = "score(doc=" + doc + ",freq=" + freq + "), product of:";
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.Description = "queryWeight, product of:";
Explanation boostExpl = new Explanation(stats.QueryBoost, "boost");
if (stats.QueryBoost != 1.0f)
{
queryExpl.AddDetail(boostExpl);
}
queryExpl.AddDetail(stats.Idf);
Explanation queryNormExpl = new Explanation(stats.QueryNorm, "queryNorm");
queryExpl.AddDetail(queryNormExpl);
queryExpl.Value = boostExpl.Value * stats.Idf.Value * queryNormExpl.Value;
result.AddDetail(queryExpl);
// explain field weight
Explanation fieldExpl = new Explanation();
fieldExpl.Description = "fieldWeight in " + doc + ", product of:";
Explanation tfExplanation = new Explanation();
tfExplanation.Value = Tf(freq.Value);
tfExplanation.Description = "tf(freq=" + freq.Value + "), with freq of:";
tfExplanation.AddDetail(freq);
fieldExpl.AddDetail(tfExplanation);
fieldExpl.AddDetail(stats.Idf);
Explanation fieldNormExpl = new Explanation();
float fieldNorm = norms != null?DecodeNormValue(norms.Get(doc)) : 1.0f;
fieldNormExpl.Value = fieldNorm;
fieldNormExpl.Description = "fieldNorm(doc=" + doc + ")";
fieldExpl.AddDetail(fieldNormExpl);
fieldExpl.Value = tfExplanation.Value * stats.Idf.Value * fieldNormExpl.Value;
result.AddDetail(fieldExpl);
// combine them
result.Value = queryExpl.Value * fieldExpl.Value;
if (queryExpl.Value == 1.0f)
{
return(fieldExpl);
}
return(result);
}
public double Score(Rectangle target, Explanation exp)
{
if (target == null || queryArea <= 0)
{
return(0);
}
double targetArea = target.GetArea(null);
if (targetArea <= 0)
{
return(0);
}
double score = 0;
double top = Math.Min(queryExtent.GetMaxY(), target.GetMaxY());
double bottom = Math.Max(queryExtent.GetMinY(), target.GetMinY());
double height = top - bottom;
double width = 0;
// queries that cross the date line
if (queryExtent.GetCrossesDateLine())
{
// documents that cross the date line
if (target.GetCrossesDateLine())
{
double left = Math.Max(queryExtent.GetMinX(), target.GetMinX());
double right = Math.Min(queryExtent.GetMaxX(), target.GetMaxX());
width = right + 360.0 - left;
}
else
{
double qryWestLeft = Math.Max(queryExtent.GetMinX(), target.GetMaxX());
double qryWestRight = Math.Min(target.GetMaxX(), 180.0);
double qryWestWidth = qryWestRight - qryWestLeft;
if (qryWestWidth > 0)
{
width = qryWestWidth;
}
else
{
double qryEastLeft = Math.Max(target.GetMaxX(), -180.0);
double qryEastRight = Math.Min(queryExtent.GetMaxX(), target.GetMaxX());
double qryEastWidth = qryEastRight - qryEastLeft;
if (qryEastWidth > 0)
{
width = qryEastWidth;
}
}
}
}
else
{ // queries that do not cross the date line
if (target.GetCrossesDateLine())
{
double tgtWestLeft = Math.Max(queryExtent.GetMinX(), target.GetMinX());
double tgtWestRight = Math.Min(queryExtent.GetMaxX(), 180.0);
double tgtWestWidth = tgtWestRight - tgtWestLeft;
if (tgtWestWidth > 0)
{
width = tgtWestWidth;
}
else
{
double tgtEastLeft = Math.Max(queryExtent.GetMinX(), -180.0);
double tgtEastRight = Math.Min(queryExtent.GetMaxX(), target.GetMaxX());
double tgtEastWidth = tgtEastRight - tgtEastLeft;
if (tgtEastWidth > 0)
{
width = tgtEastWidth;
}
}
}
else
{
double left = Math.Max(queryExtent.GetMinX(), target.GetMinX());
double right = Math.Min(queryExtent.GetMaxX(), target.GetMaxX());
width = right - left;
}
}
// calculate the score
if ((width > 0) && (height > 0))
{
double intersectionArea = width * height;
double queryRatio = intersectionArea / queryArea;
double targetRatio = intersectionArea / targetArea;
double queryFactor = Math.Pow(queryRatio, queryPower);
double targetFactor = Math.Pow(targetRatio, targetPower);
score = queryFactor * targetFactor * 10000.0;
if (exp != null)
{
// StringBuilder sb = new StringBuilder();
// sb.append("\nscore=").append(score);
// sb.append("\n query=").append();
// sb.append("\n target=").append(target.toString());
// sb.append("\n intersectionArea=").append(intersectionArea);
//
// sb.append(" queryArea=").append(queryArea).append(" targetArea=").append(targetArea);
// sb.append("\n queryRatio=").append(queryRatio).append(" targetRatio=").append(targetRatio);
// sb.append("\n queryFactor=").append(queryFactor).append(" targetFactor=").append(targetFactor);
// sb.append(" (queryPower=").append(queryPower).append(" targetPower=").append(targetPower).append(")");
exp.Value = (float)score;
exp.Description = GetType().Name;
Explanation e = null;
exp.AddDetail(e = new Explanation((float)intersectionArea, "IntersectionArea"));
e.AddDetail(new Explanation((float)width, "width; Query: " + queryExtent));
e.AddDetail(new Explanation((float)height, "height; Target: " + target));
exp.AddDetail(e = new Explanation((float)queryFactor, "Query"));
e.AddDetail(new Explanation((float)queryArea, "area"));
e.AddDetail(new Explanation((float)queryRatio, "ratio"));
e.AddDetail(new Explanation((float)queryPower, "power"));
exp.AddDetail(e = new Explanation((float)targetFactor, "Target"));
e.AddDetail(new Explanation((float)targetArea, "area"));
e.AddDetail(new Explanation((float)targetRatio, "ratio"));
e.AddDetail(new Explanation((float)targetPower, "power"));
}
}
else if (exp != null)
{
exp.Value = 0;
exp.Description = "Shape does not intersect";
}
return(score);
}
public override Explanation Explain(IndexReader reader, int doc)
{
ComplexExplanation result = new ComplexExplanation();
result.SetDescription("weight(" + GetQuery() + " in " + doc + "), product of:");
System.String field = ((SpanQuery)GetQuery()).GetField();
Explanation idfExpl = new Explanation(idf, "idf(" + field + ": " + idfExp.Explain() + ")");
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.SetDescription("queryWeight(" + GetQuery() + "), product of:");
Explanation boostExpl = new Explanation(GetQuery().GetBoost(), "boost");
if (GetQuery().GetBoost() != 1.0f)
{
queryExpl.AddDetail(boostExpl);
}
queryExpl.AddDetail(idfExpl);
Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
queryExpl.AddDetail(queryNormExpl);
queryExpl.SetValue(boostExpl.GetValue() * idfExpl.GetValue() * queryNormExpl.GetValue());
result.AddDetail(queryExpl);
// explain field weight
ComplexExplanation fieldExpl = new ComplexExplanation();
fieldExpl.SetDescription("fieldWeight(" + field + ":" + query.ToString(field) + " in " + doc + "), product of:");
Explanation tfExpl = Scorer(reader, true, false).Explain(doc);
fieldExpl.AddDetail(tfExpl);
fieldExpl.AddDetail(idfExpl);
Explanation fieldNormExpl = new Explanation();
byte[] fieldNorms = reader.Norms(field);
float fieldNorm = fieldNorms != null?Similarity.DecodeNorm(fieldNorms[doc]) : 1.0f;
fieldNormExpl.SetValue(fieldNorm);
fieldNormExpl.SetDescription("fieldNorm(field=" + field + ", doc=" + doc + ")");
fieldExpl.AddDetail(fieldNormExpl);
fieldExpl.SetMatch(tfExpl.IsMatch());
fieldExpl.SetValue(tfExpl.GetValue() * idfExpl.GetValue() * fieldNormExpl.GetValue());
result.AddDetail(fieldExpl);
System.Boolean?tempAux = fieldExpl.GetMatch();
result.SetMatch(tempAux);
// combine them
result.SetValue(queryExpl.GetValue() * fieldExpl.GetValue());
if (queryExpl.GetValue() == 1.0f)
{
return(fieldExpl);
}
return(result);
}
protected internal override Explanation Explain(int doc)
{
Explanation result = new Explanation();
Explanation nonPayloadExpl = base.Explain(doc);
result.AddDetail(nonPayloadExpl);
Explanation payloadBoost = new Explanation();
result.AddDetail(payloadBoost);
float avgPayloadScore = (payloadsSeen > 0?(payloadScore / payloadsSeen):1);
payloadBoost.Value = avgPayloadScore;
payloadBoost.Description = "scorePayload(...)";
result.Value = nonPayloadExpl.Value * avgPayloadScore;
result.Description = "bnq, product of:";
return result;
}
public override Explanation Explain(AtomicReaderContext context, int doc)
{
PayloadNearSpanScorer scorer = (PayloadNearSpanScorer)Scorer(context, (context.AtomicReader).LiveDocs);
if (scorer != null)
{
int newDoc = scorer.Advance(doc);
if (newDoc == doc)
{
float freq = scorer.Freq();
Similarity.SimScorer docScorer = Similarity.DoSimScorer(Stats, context);
Explanation expl = new Explanation();
expl.Description = "weight(" + Query + " in " + doc + ") [" + Similarity.GetType().Name + "], result of:";
Explanation scoreExplanation = docScorer.Explain(doc, new Explanation(freq, "phraseFreq=" + freq));
expl.AddDetail(scoreExplanation);
expl.Value = scoreExplanation.Value;
string field = ((SpanQuery)Query).Field;
// now the payloads part
Explanation payloadExpl = OuterInstance.Function.Explain(doc, field, scorer.PayloadsSeen, scorer.PayloadScore);
// combined
ComplexExplanation result = new ComplexExplanation();
result.AddDetail(expl);
result.AddDetail(payloadExpl);
result.Value = expl.Value * payloadExpl.Value;
result.Description = "PayloadNearQuery, product of:";
return result;
}
}
return new ComplexExplanation(false, 0.0f, "no matching term");
}
protected internal override void Explain(Explanation expl, BasicStats stats, int doc, float freq, float docLen)
{
if (stats.TotalBoost != 1.0f)
{
expl.AddDetail(new Explanation(stats.TotalBoost, "boost"));
}
Explanation normExpl = Normalization_Renamed.Explain(stats, freq, docLen);
float tfn = normExpl.Value;
expl.AddDetail(normExpl);
expl.AddDetail(BasicModel_Renamed.Explain(stats, tfn));
expl.AddDetail(AfterEffect_Renamed.Explain(stats, tfn));
}
public override Explanation Explain(IndexReader reader, int doc)
{
ComplexExplanation result = new ComplexExplanation();
result.Description = "weight(" + Query + " in " + doc + "), product of:";
System.String field = ((SpanQuery)Query).Field;
Explanation idfExpl = new Explanation(idf, "idf(" + field + ": " + idfExp.Explain() + ")");
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.Description = "queryWeight(" + Query + "), product of:";
Explanation boostExpl = new Explanation(Query.Boost, "boost");
if (Query.Boost != 1.0f)
{
queryExpl.AddDetail(boostExpl);
}
queryExpl.AddDetail(idfExpl);
Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
queryExpl.AddDetail(queryNormExpl);
queryExpl.Value = boostExpl.Value * idfExpl.Value * queryNormExpl.Value;
result.AddDetail(queryExpl);
// explain field weight
ComplexExplanation fieldExpl = new ComplexExplanation();
fieldExpl.Description = "fieldWeight(" + field + ":" + internalQuery.ToString(field) + " in " + doc + "), product of:";
Explanation tfExpl = ((SpanScorer)Scorer(reader, true, false)).Explain(doc);
fieldExpl.AddDetail(tfExpl);
fieldExpl.AddDetail(idfExpl);
Explanation fieldNormExpl = new Explanation();
byte[] fieldNorms = reader.Norms(field);
float fieldNorm = fieldNorms != null?Similarity.DecodeNorm(fieldNorms[doc]) : 1.0f;
fieldNormExpl.Value = fieldNorm;
fieldNormExpl.Description = "fieldNorm(field=" + field + ", doc=" + doc + ")";
fieldExpl.AddDetail(fieldNormExpl);
fieldExpl.Match = tfExpl.IsMatch;
fieldExpl.Value = tfExpl.Value * idfExpl.Value * fieldNormExpl.Value;
result.AddDetail(fieldExpl);
System.Boolean?tempAux = fieldExpl.Match;
result.Match = tempAux;
// combine them
result.Value = queryExpl.Value * fieldExpl.Value;
if (queryExpl.Value == 1.0f)
{
return(fieldExpl);
}
return(result);
}
public override Explanation Explain(int doc, Explanation freq)
{
Explanation expl = new Explanation(Score(doc, freq.Value), "sum of:");
foreach (SimScorer subScorer in SubScorers)
{
expl.AddDetail(subScorer.Explain(doc, freq));
}
return expl;
}
private Explanation ExplainScore(int doc, Explanation freq, IDFStats stats, NumericDocValues norms)
{
Explanation result = new Explanation();
result.Description = "score(doc=" + doc + ",freq=" + freq + "), product of:";
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.Description = "queryWeight, product of:";
Explanation boostExpl = new Explanation(stats.QueryBoost, "boost");
if (stats.QueryBoost != 1.0f)
{
queryExpl.AddDetail(boostExpl);
}
queryExpl.AddDetail(stats.Idf);
Explanation queryNormExpl = new Explanation(stats.QueryNorm, "queryNorm");
queryExpl.AddDetail(queryNormExpl);
queryExpl.Value = boostExpl.Value * stats.Idf.Value * queryNormExpl.Value;
result.AddDetail(queryExpl);
// explain field weight
Explanation fieldExpl = new Explanation();
fieldExpl.Description = "fieldWeight in " + doc + ", product of:";
Explanation tfExplanation = new Explanation();
tfExplanation.Value = Tf(freq.Value);
tfExplanation.Description = "tf(freq=" + freq.Value + "), with freq of:";
tfExplanation.AddDetail(freq);
fieldExpl.AddDetail(tfExplanation);
fieldExpl.AddDetail(stats.Idf);
Explanation fieldNormExpl = new Explanation();
float fieldNorm = norms != null ? DecodeNormValue(norms.Get(doc)) : 1.0f;
fieldNormExpl.Value = fieldNorm;
fieldNormExpl.Description = "fieldNorm(doc=" + doc + ")";
fieldExpl.AddDetail(fieldNormExpl);
fieldExpl.Value = tfExplanation.Value * stats.Idf.Value * fieldNormExpl.Value;
result.AddDetail(fieldExpl);
// combine them
result.Value = queryExpl.Value * fieldExpl.Value;
if (queryExpl.Value == 1.0f)
{
return fieldExpl;
}
return result;
}
protected internal override void Explain(Explanation expl, BasicStats stats, int doc, float freq, float docLen)
{
if (stats.TotalBoost != 1.0f)
{
expl.AddDetail(new Explanation(stats.TotalBoost, "boost"));
}
Explanation normExpl = Normalization_Renamed.Explain(stats, freq, docLen);
Explanation lambdaExpl = Lambda_Renamed.Explain(stats);
expl.AddDetail(normExpl);
expl.AddDetail(lambdaExpl);
expl.AddDetail(Distribution_Renamed.Explain(stats, normExpl.Value, lambdaExpl.Value));
}
protected internal override void Explain(Explanation expl, BasicStats stats, int doc, float freq, float docLen)
{
expl.AddDetail(new Explanation(m_collectionModel.ComputeProbability(stats), "collection probability"));
}
public override Explanation Explain(AtomicReaderContext context, int doc)
{
PayloadTermSpanScorer scorer = (PayloadTermSpanScorer)Scorer(context, (context.AtomicReader).LiveDocs);
if (scorer != null)
{
int newDoc = scorer.Advance(doc);
if (newDoc == doc)
{
float freq = scorer.SloppyFreq();
Similarity.SimScorer docScorer = Similarity.DoSimScorer(Stats, context);
Explanation expl = new Explanation();
expl.Description = "weight(" + Query + " in " + doc + ") [" + Similarity.GetType().Name + "], result of:";
Explanation scoreExplanation = docScorer.Explain(doc, new Explanation(freq, "phraseFreq=" + freq));
expl.AddDetail(scoreExplanation);
expl.Value = scoreExplanation.Value;
// now the payloads part
// QUESTION: Is there a way to avoid this skipTo call? We need to know
// whether to load the payload or not
// GSI: I suppose we could toString the payload, but I don't think that
// would be a good idea
string field = ((SpanQuery)Query).Field;
Explanation payloadExpl = OuterInstance.Function.Explain(doc, field, scorer.PayloadsSeen, scorer.PayloadScore_Renamed);
payloadExpl.Value = scorer.PayloadScore;
// combined
ComplexExplanation result = new ComplexExplanation();
if (OuterInstance.IncludeSpanScore)
{
result.AddDetail(expl);
result.AddDetail(payloadExpl);
result.Value = expl.Value * payloadExpl.Value;
result.Description = "btq, product of:";
}
else
{
result.AddDetail(payloadExpl);
result.Value = payloadExpl.Value;
result.Description = "btq(includeSpanScore=false), result of:";
}
result.Match = true; // LUCENE-1303
return result;
}
}
return new ComplexExplanation(false, 0.0f, "no matching term");
}
protected internal override void Explain(Explanation expl, BasicStats stats, int doc, float freq, float docLen)
{
if (stats.TotalBoost != 1.0f)
{
expl.AddDetail(new Explanation(stats.TotalBoost, "boost"));
}
expl.AddDetail(new Explanation(Lambda_Renamed, "lambda"));
base.Explain(expl, stats, doc, freq, docLen);
}
/// <summary>
/// Computes a score factor for a phrase.
///
/// <p>
/// The default implementation sums the idf factor for
/// each term in the phrase.
/// </summary>
/// <param name="collectionStats"> collection-level statistics </param>
/// <param name="termStats"> term-level statistics for the terms in the phrase </param>
/// <returns> an Explain object that includes both an idf
/// score factor for the phrase and an explanation
/// for each term. </returns>
public virtual Explanation IdfExplain(CollectionStatistics collectionStats, TermStatistics[] termStats)
{
long max = collectionStats.MaxDoc();
float idf = 0.0f;
Explanation exp = new Explanation();
exp.Description = "idf(), sum of:";
foreach (TermStatistics stat in termStats)
{
long df = stat.DocFreq();
float termIdf = Idf(df, max);
exp.AddDetail(new Explanation(termIdf, "idf(docFreq=" + df + ", maxDocs=" + max + ")"));
idf += termIdf;
}
exp.Value = idf;
return exp;
}
public override Explanation Explain(AtomicReaderContext context, int doc)
{
int minShouldMatch = outerInstance.MinimumNumberShouldMatch;
ComplexExplanation sumExpl = new ComplexExplanation();
sumExpl.Description = "sum of:";
int coord = 0;
float sum = 0.0f;
bool fail = false;
int shouldMatchCount = 0;
using (IEnumerator <BooleanClause> cIter = outerInstance.clauses.GetEnumerator())
{
foreach (Weight w in m_weights)
{
cIter.MoveNext();
BooleanClause c = cIter.Current;
if (w.GetScorer(context, context.AtomicReader.LiveDocs) == null)
{
if (c.IsRequired)
{
fail = true;
Explanation r = new Explanation(0.0f, "no match on required clause (" + c.Query.ToString() + ")");
sumExpl.AddDetail(r);
}
continue;
}
Explanation e = w.Explain(context, doc);
if (e.IsMatch)
{
if (!c.IsProhibited)
{
sumExpl.AddDetail(e);
sum += e.Value;
coord++;
}
else
{
Explanation r = new Explanation(0.0f, "match on prohibited clause (" + c.Query.ToString() + ")");
r.AddDetail(e);
sumExpl.AddDetail(r);
fail = true;
}
if (c.Occur == Occur_e.SHOULD)
{
shouldMatchCount++;
}
}
else if (c.IsRequired)
{
Explanation r = new Explanation(0.0f, "no match on required clause (" + c.Query.ToString() + ")");
r.AddDetail(e);
sumExpl.AddDetail(r);
fail = true;
}
}
}
if (fail)
{
sumExpl.Match = false;
sumExpl.Value = 0.0f;
sumExpl.Description = "Failure to meet condition(s) of required/prohibited clause(s)";
return(sumExpl);
}
else if (shouldMatchCount < minShouldMatch)
{
sumExpl.Match = false;
sumExpl.Value = 0.0f;
sumExpl.Description = "Failure to match minimum number " + "of optional clauses: " + minShouldMatch;
return(sumExpl);
}
sumExpl.Match = 0 < coord ? true : false;
sumExpl.Value = sum;
float coordFactor = disableCoord ? 1.0f : Coord(coord, m_maxCoord);
if (coordFactor == 1.0f)
{
return(sumExpl); // eliminate wrapper
}
else
{
ComplexExplanation result = new ComplexExplanation(sumExpl.IsMatch, sum * coordFactor, "product of:");
result.AddDetail(sumExpl);
result.AddDetail(new Explanation(coordFactor, "coord(" + coord + "/" + m_maxCoord + ")"));
return(result);
}
}
protected internal override void Explain(Explanation expl, BasicStats stats, int doc, float freq, float docLen)
{
expl.AddDetail(new Explanation(collectionModel.ComputeProbability(stats), "collection probability"));
}
public virtual Explanation Explain(IndexReader reader, int doc)
{
ComplexExplanation result = new ComplexExplanation();
result.SetDescription("weight(" + GetQuery() + " in " + doc + "), product of:");
System.String field = ((SpanQuery)GetQuery()).GetField();
System.Text.StringBuilder docFreqs = new System.Text.StringBuilder();
System.Collections.IEnumerator i = terms.GetEnumerator();
while (i.MoveNext())
{
System.Collections.DictionaryEntry tmp = (System.Collections.DictionaryEntry)i.Current;
Term term = (Term)tmp.Key;
docFreqs.Append(term.Text());
docFreqs.Append("=");
docFreqs.Append(reader.DocFreq(term));
if (i.MoveNext())
{
docFreqs.Append(" ");
}
}
Explanation idfExpl = new Explanation(idf, "idf(" + field + ": " + docFreqs + ")");
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.SetDescription("queryWeight(" + GetQuery() + "), product of:");
Explanation boostExpl = new Explanation(GetQuery().GetBoost(), "boost");
if (GetQuery().GetBoost() != 1.0f)
{
queryExpl.AddDetail(boostExpl);
}
queryExpl.AddDetail(idfExpl);
Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
queryExpl.AddDetail(queryNormExpl);
queryExpl.SetValue(boostExpl.GetValue() * idfExpl.GetValue() * queryNormExpl.GetValue());
result.AddDetail(queryExpl);
// explain field weight
ComplexExplanation fieldExpl = new ComplexExplanation();
fieldExpl.SetDescription("fieldWeight(" + field + ":" + query.ToString(field) + " in " + doc + "), product of:");
Explanation tfExpl = Scorer(reader).Explain(doc);
fieldExpl.AddDetail(tfExpl);
fieldExpl.AddDetail(idfExpl);
Explanation fieldNormExpl = new Explanation();
byte[] fieldNorms = reader.Norms(field);
float fieldNorm = fieldNorms != null?Similarity.DecodeNorm(fieldNorms[doc]) : 0.0f;
fieldNormExpl.SetValue(fieldNorm);
fieldNormExpl.SetDescription("fieldNorm(field=" + field + ", doc=" + doc + ")");
fieldExpl.AddDetail(fieldNormExpl);
fieldExpl.SetMatch(tfExpl.IsMatch());
fieldExpl.SetValue(tfExpl.GetValue() * idfExpl.GetValue() * fieldNormExpl.GetValue());
result.AddDetail(fieldExpl);
System.Boolean tempAux = fieldExpl.GetMatch();
result.SetMatch(tempAux);
// combine them
result.SetValue(queryExpl.GetValue() * fieldExpl.GetValue());
if (queryExpl.GetValue() == 1.0f)
{
return(fieldExpl);
}
return(result);
}
/// <summary>
/// Explain the custom score.
/// Whenever overriding <see cref="CustomScore(int, float, float[])" />,
/// this method should also be overridden to provide the correct explanation
/// for the part of the custom scoring.
/// </summary>
/// <param name="doc">doc being explained</param>
/// <param name="subQueryExpl">explanation for the sub-query part</param>
/// <param name="valSrcExpls">explanation for the value source part</param>
/// <returns>an explanation for the custom score</returns>
public virtual Explanation CustomExplain(int doc, Explanation subQueryExpl, Explanation[] valSrcExpls)
{
if (valSrcExpls.Length == 1)
{
return CustomExplain(doc, subQueryExpl, valSrcExpls[0]);
}
if (valSrcExpls.Length == 0)
{
return subQueryExpl;
}
float valSrcScore = 1;
for (int i = 0; i < valSrcExpls.Length; i++)
{
valSrcScore *= valSrcExpls[i].GetValue();
}
Explanation exp = new Explanation(valSrcScore * subQueryExpl.GetValue(), "custom score: product of:");
exp.AddDetail(subQueryExpl);
for (int i = 0; i < valSrcExpls.Length; i++)
{
exp.AddDetail(valSrcExpls[i]);
}
return exp;
}
protected internal override void Explain(Explanation expl, BasicStats stats, int doc, float freq, float docLen)
{
if (stats.TotalBoost != 1.0f)
{
expl.AddDetail(new Explanation(stats.TotalBoost, "boost"));
}
expl.AddDetail(new Explanation(Mu_Renamed, "mu"));
Explanation weightExpl = new Explanation();
weightExpl.Value = (float)Math.Log(1 + freq / (Mu_Renamed * ((LMStats)stats).CollectionProbability));
weightExpl.Description = "term weight";
expl.AddDetail(weightExpl);
expl.AddDetail(new Explanation((float)Math.Log(Mu_Renamed / (docLen + Mu_Renamed)), "document norm"));
base.Explain(expl, stats, doc, freq, docLen);
}