Activity for Volker

  • Volker Volker posted a comment on discussion RankLib

    Hi Michael, that looks good so far, thank you for fixing it. The initial output shows now different metrics for test and train. I will let you know whether the test metric is actually computed for the test set in the end. Thank you very much for your help.

  • Volker Volker posted a comment on discussion RankLib

    I was planning to go with the list-wise algorithms (AdaRank and LambdaMART).

  • Volker Volker modified a comment on discussion RankLib

    Hi there, thank you for providing RankLib, this helps a lot to get into the practical aspects of Learning-to-Rank. It is great to have implementations of the most wiedely referenced methods available in the same package. I just have one problem: I can specify different metrics as metric2t (so for training) and metric2T (for testing), but it has no effect - training and testing get set to whatever I specify as metric2T. Why do I want to do that? I wanted to see if graded relevance actually helps my...

  • Volker Volker posted a comment on discussion RankLib

    Hi there, thank you for providing RankLib, this helps a lot to get into the practical aspects of Learning-to-Rank. It is great to have implementations of the most wiedely referenced methods available in the same package. I just have one problem: I can specify different metrics as metric2t (so for training) and metric2T (for testing), but it has no effect - training and testing get set to whatever I specify as metric2T. Why do I want to do that? I wanted to see if graded relevance actually helps my...

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