List of tf() Examples

Examples of tf()

org.apache.lucene.search.DefaultSimilarity.tf()
Implemented as sqrt(freq).
org.apache.lucene.search.Similarity.tf()
Computes a score factor based on a term or phrase's frequency in a document. This value is multiplied by the {@link #idf(int,int)}factor for each term in the query and these products are then summed to form the initial score for a document.
Terms and phrases repeated in a document indicate the topic of the document, so implementations of this method usually return larger values when freq is large, and smaller values when freq is small.
The default implementation calls {@link #tf(float)}. @param freq the frequency of a term within a document @return a score factor based on a term's within-document frequency
org.apache.lucene.search.similarities.DefaultSimilarity.tf()
Implemented as sqrt(freq).
org.apache.lucene.search.similarities.TFIDFSimilarity.tf()
Computes a score factor based on a term or phrase's frequency in a document. This value is multiplied by the {@link #idf(long,long)}factor for each term in the query and these products are then summed to form the initial score for a document.
Terms and phrases repeated in a document indicate the topic of the document, so implementations of this method usually return larger values when freq is large, and smaller values when freq is small.
The default implementation calls {@link #tf(float)}. @param freq the frequency of a term within a document @return a score factor based on a term's within-document frequency
org.elasticsearch.search.lookup.IndexFieldTerm.tf()

Examples of org.apache.lucene.search.similarities.TFIDFSimilarity.tf()

            // end, or because the next doc is after this doc.
            return similarity.tf(0);
          }


          // a match!
          return similarity.tf(docs.freq());
        } catch (IOException e) {
          throw new RuntimeException("caught exception in function "+description()+" : doc="+doc, e);
        }
      }
    };

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Examples of org.elasticsearch.search.lookup.IndexFieldTerm.tf()

        float score = 0;
        IndexField indexField = indexLookup().get(field);
        for (int i = 0; i < terms.length; i++) {
            IndexFieldTerm indexFieldTerm = indexField.get(terms[i]);
            try {
                if (indexFieldTerm.tf() != 0) {
                    score += indexFieldTerm.tf() * indexField.docCount() / indexFieldTerm.df();
                }
            } catch (IOException e) {
                throw new RuntimeException();
            }

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