cbalint13 commented on PR #14468: URL: https://github.com/apache/tvm/pull/14468#issuecomment-1496441262
@tqchen , additionally to my response to the request in the previous message: > > Likely we might want to move away from the MAP metric, and use other metric instead, either regression metric or pair-wise ranking. > > * Apparently this proposal works, tunning finds good kernels, but the real impact is hard to measure (on personal side). > > Another quick idea for now is to add condition of binarization to xgboost >=1.7.5 version, keeping the old behaviour. * If binarization is too **steep** , a simple (but recursive) way would be the [PASCAL](https://en.wikipedia.org/wiki/Evaluation_measures_(information_retrieval)#Average_precision) trick to avg/split into 11 levels:  -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
