public override sealed SimWeight ComputeWeight(float queryBoost, CollectionStatistics collectionStats, params TermStatistics[] termStats)
{
PerFieldSimWeight weight = new PerFieldSimWeight();
weight.@delegate = Get(collectionStats.Field());
weight.DelegateWeight = [email protected](queryBoost, collectionStats, termStats);
return weight;
}
public override sealed SimWeight ComputeWeight(float queryBoost, CollectionStatistics collectionStats, params TermStatistics[] termStats)
{
PerFieldSimWeight weight = new PerFieldSimWeight();
weight.@delegate = Get(collectionStats.Field());
weight.DelegateWeight = [email protected](queryBoost, collectionStats, termStats);
return(weight);
}
public override sealed SimWeight ComputeWeight(float queryBoost, CollectionStatistics collectionStats, params TermStatistics[] termStats)
{
BasicStats[] stats = new BasicStats[termStats.Length];
for (int i = 0; i < termStats.Length; i++)
{
stats[i] = NewStats(collectionStats.Field(), queryBoost);
FillBasicStats(stats[i], collectionStats, termStats[i]);
}
return(stats.Length == 1 ? stats[0] : new MultiSimilarity.MultiStats(stats) as SimWeight);
}
public override sealed SimWeight ComputeWeight(float queryBoost, CollectionStatistics collectionStats, params TermStatistics[] termStats)
{
Explanation idf = termStats.Length == 1 ? IdfExplain(collectionStats, termStats[0]) : IdfExplain(collectionStats, termStats);
float avgdl = AvgFieldLength(collectionStats);
// compute freq-independent part of bm25 equation across all norm values
float[] cache = new float[256];
for (int i = 0; i < cache.Length; i++)
{
cache[i] = K1_Renamed * ((1 - b) + b * DecodeNormValue((sbyte)i) / avgdl);
}
return(new BM25Stats(collectionStats.Field(), idf, queryBoost, avgdl, cache));
}
public override sealed SimWeight ComputeWeight(float queryBoost, CollectionStatistics collectionStats, params TermStatistics[] termStats)
{
Explanation idf = termStats.Length == 1 ? IdfExplain(collectionStats, termStats[0]) : IdfExplain(collectionStats, termStats);
return(new IDFStats(collectionStats.Field(), idf, queryBoost));
}
public override sealed SimWeight ComputeWeight(float queryBoost, CollectionStatistics collectionStats, params TermStatistics[] termStats)
{
Explanation idf = termStats.Length == 1 ? IdfExplain(collectionStats, termStats[0]) : IdfExplain(collectionStats, termStats);
float avgdl = AvgFieldLength(collectionStats);
// compute freq-independent part of bm25 equation across all norm values
float[] cache = new float[256];
for (int i = 0; i < cache.Length; i++)
{
cache[i] = K1_Renamed * ((1 - b) + b * DecodeNormValue((sbyte)i) / avgdl);
}
return new BM25Stats(collectionStats.Field(), idf, queryBoost, avgdl, cache);
}
public override sealed SimWeight ComputeWeight(float queryBoost, CollectionStatistics collectionStats, params TermStatistics[] termStats)
{
BasicStats[] stats = new BasicStats[termStats.Length];
for (int i = 0; i < termStats.Length; i++)
{
stats[i] = NewStats(collectionStats.Field(), queryBoost);
FillBasicStats(stats[i], collectionStats, termStats[i]);
}
return stats.Length == 1 ? stats[0] : new MultiSimilarity.MultiStats(stats) as SimWeight;
}
public override sealed SimWeight ComputeWeight(float queryBoost, CollectionStatistics collectionStats, params TermStatistics[] termStats)
{
Explanation idf = termStats.Length == 1 ? IdfExplain(collectionStats, termStats[0]) : IdfExplain(collectionStats, termStats);
return new IDFStats(collectionStats.Field(), idf, queryBoost);
}