Best Java code snippets using org.apache.lucene.search.Similarity.queryNorm (Showing top 5 results out of 315)

Common ways to obtain Similarity

private void myMethod () {
     Similarity s =Searcher searcher;searcher.getSimilarity()
Similarity.getDefault()
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}

public float queryNorm(float sumOfSquaredWeights) {
 return delegee.queryNorm(sumOfSquaredWeights);
}

public float queryNorm(float sumOfSquaredWeights) {
 return delegee.queryNorm(sumOfSquaredWeights);
}

/** Expert: Constructs and initializes a Weight for a top-level query. */
public Weight weight(Searcher searcher)
 throws IOException {
 Query query = searcher.rewrite(this);
 Weight weight = query.createWeight(searcher);
 float sum = weight.sumOfSquaredWeights();
 float norm = getSimilarity(searcher).queryNorm(sum);
 weight.normalize(norm);
 return weight;
}

/** Expert: Constructs an initializes a Weight for a top-level query. */
public Weight weight(Searcher searcher)
 throws IOException {
 Query query = searcher.rewrite(this);
 Weight weight = query.createWeight(searcher);
 float sum = weight.sumOfSquaredWeights();
 float norm = getSimilarity(searcher).queryNorm(sum);
 weight.normalize(norm);
 return weight;
}

/** Expert: Constructs and initializes a Weight for a top-level query. */
public Weight weight(Searcher searcher)
 throws IOException {
 Query query = searcher.rewrite(this);
 Weight weight = query.createWeight(searcher);
 float sum = weight.sumOfSquaredWeights();
 float norm = getSimilarity(searcher).queryNorm(sum);
 weight.normalize(norm);
 return weight;
}

Javadoc

Computes the normalization value for a query given the sum of the squared weights of each of the query terms. This value is then multipled into the weight of each query term.

This does not affect ranking, but rather just attempts to make scores from different queries comparable.

Popular methods of Similarity

getDefault
Return the default Similarity implementation used by indexing and search code. This is initially an
idf
Computes a score factor for a simple term.The default implementation is: return idf(searcher.docFre
tf
Computes a score factor based on a term or phrase's frequency in a document. This value is multiplie
decodeNorm
Decodes a normalization factor stored in an index.
encodeNorm
Encodes a normalization factor for storage in an index.The encoding uses a three-bit mantissa, a fiv
sloppyFreq
Computes the amount of a sloppy phrase match, based on an edit distance. This value is summed for ea
coord
Computes a score factor based on the fraction of all query terms that a document contains. This valu
getNormDecoder
Returns a table for decoding normalization bytes.
lengthNorm
Computes the normalization value for a field given the total number of terms contained in a field. T
computeNorm
encodeNormValue
scorePayload
Calculate a scoring factor based on the data in the payload. Overriding implementations are responsi

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