Alessandro

Hi , I answered to your message as well, which is pretty much the same. 1) you need to build your training set. You need to identify the set of features of your interest and you need to build the training set vectors accordingly. 2) Target is the relevance label, normally an integer 0-5 where 0 means not relevant and 5 means extremely relevant. It is assigned to a <query,document> pair.

Hey Stephen, attaching the patch! Am I wrong or the only tests I get are my tests...

Any feedback on this ? Cheers

Ranklib to save models in Json

RankLib - Feature Normalization

Thanks Stephen, thinking a little bit more about it, I think that oversampling a...

Hi Guys, just verified a behaviour I was not expecting. I have a really un-balanced...

Stephen, I attached the last patch. It will work exactly as you say, the only difference...