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I'm guessing you would like listwise ranking objective, rather than the pointwise objective which basically degrades to ordering by regression. listwise ranking needs a batch prediction interface, since it takes an entire set of candidates into consideration, and it needs the additional query set size argument. We'll need to add a "ranking" objective in addition to classification and regression, for projects to support the additional API and data requirements. This seems like a pretty reasonable thing to support.
Do you have some benchmarks for the differences in quality you see between pointwise/pairwise/listwise ranking on your dataset so we have more context around the metrics you're looking at for this problem?
Hey Guys.
Just a quick question. Are you guys planning to support XGBRanker?
https://xgboost.readthedocs.io/en/stable/python/python_api.html#xgboost.XGBRanker
Thanks. Peter
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