List of computeNorm() Examples

Examples of computeNorm()

org.apache.lucene.search.DefaultSimilarity.computeNorm()
Implemented as state.getBoost()*lengthNorm(numTerms), where numTerms is {@link FieldInvertState#getLength()} if {@link #setDiscountOverlaps} is false, else it's {@link FieldInvertState#getLength()} - {@link FieldInvertState#getNumOverlap()}.
WARNING: This API is new and experimental, and may suddenly change.
org.apache.lucene.search.Similarity.computeNorm()
Compute the normalization value for a field, given the accumulated state of term processing for this field (see {@link FieldInvertState}).
Implementations should calculate a float value based on the field state and then return that value.
For backward compatibility this method by default calls {@link #lengthNorm(String,int)} passing{@link FieldInvertState#getLength()} as the second argument, andthen multiplies this value by {@link FieldInvertState#getBoost()}.

WARNING: This API is new and experimental and may suddenly change.
@param field field name @param state current processing state for this field @return the calculated float norm
org.apache.lucene.search.similarities.Similarity.computeNorm()
Computes the normalization value for a field, given the accumulated state of term processing for this field (see {@link FieldInvertState}).
Matches in longer fields are less precise, so implementations of this method usually set smaller values when state.getLength() is large, and larger values when state.getLength() is small. @lucene.experimental @param state current processing state for this field @return computed norm value

Examples of org.apache.lucene.search.similarities.Similarity.computeNorm()

        Info info = getInfo(field);
        int numTokens = info != null ? info.numTokens : 0;
        int numOverlapTokens = info != null ? info.numOverlapTokens : 0;
        float boost = info != null ? info.getBoost() : 1.0f; 
        FieldInvertState invertState = new FieldInvertState(field, 0, numTokens, numOverlapTokens, 0, boost);
        long value = sim.computeNorm(invertState);
        norms = new MemoryIndexNormDocValues(value);
        // cache it for future reuse
        cachedNormValues = norms;
        cachedFieldName = field;
        cachedSimilarity = sim;

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Examples of org.apache.lucene.search.similarities.Similarity.computeNorm()

        Info info = getInfo(field);
        int numTokens = info != null ? info.numTokens : 0;
        int numOverlapTokens = info != null ? info.numOverlapTokens : 0;
        float boost = info != null ? info.getBoost() : 1.0f; 
        FieldInvertState invertState = new FieldInvertState(field, 0, numTokens, numOverlapTokens, 0, boost);
        long value = sim.computeNorm(invertState);
        norms = new MemoryIndexNormDocValues(value);
        // cache it for future reuse
        cachedNormValues = norms;
        cachedFieldName = field;
        cachedSimilarity = sim;

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