: And then I made this subclass the default similarity. It worked well : for tf but not for lengthNorm. The reason appears to be that the : TermScorer class does not call lengthNorm, but instead uses a cache
Acctually, the lengthNorm method is used by the IndexWriter; it compresses the float returned by lengthNorm into a representation that uses a single byte, and writes it to a file (one per field) which is exposed by IndexReader.norms(field) for use in the Scorers. : NORM_TABLE[i] = 1.0f; //Originally: NORM_TABLE[i] = : SmallFloat.byte315ToFloat((byte)i); that norm table is just used as a cache of mappings from the "byte encoded" values to the nearest float value so that Scorers don't need to call SmallFloat.byte315ToFloat((byte)i) everytime. If you use Similarity.setDefault (or IndexWriter.setSimilarity) before building your index you shouldn't need that change. -Hoss --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
