Hi,
I have the same question related to LMJelinekMercerSimiliarity class.
protected float score(BasicStats stats, float freq, float docLen) {
return stats.getTotalBoost() *
(float)Math.log(1 + ((1 - lambda) * freq / docLen) / (lambda *
((LMStats)stats).getCollectionProbability()));
}
score = Math.log( (1 - lambda) * freq / docLen * + *lambda *
((LMStats)stats).getCollectionProbability()) )
I am also getting much worse results by updating the code like above.
Why is it calculated this way?
Thanks in advance,
Best regards,
ZP
P.S: Instead of creating a new question, I used your question because I
believe that the reason should be the same.
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