Xgboost: How to use xgboost to do lambdamart listwise ranking?

ok, i see. XGBoost supports accomplishing ranking tasks. In ranking scenario, data are often grouped and we need the group information file to s
pecify ranking tasks. The model used in XGBoost for ranking is the LambdaRank, this function is not yet completed. Currently, we provide pairwise rank.

So, listwise learing is not supportted. Any plan?

use rank:ndcg for lambda rank with ndcg metric

Hi, I just tried to use both objective = 'rank:map' and objective = 'rank:ndcg', but none of them seem to work. The pairwise objective function is actually fine. I can see in the code that the LambdaMART objective function is still there, however I do not understand why it cannot be selected using the python API. Thanks.

@tqchen can you comment if rank:ndcg or rank:map works for Python?

This needs clarification in the docs.
Specifically:

1. The FAQ says "Yes, xgboost implements LambdaMART. Checkout the objective section in parameters" yet the parameters page contains no mention of LambdaMART whatsoever.
2. If LambdaMART does exist, there should be an example. I'm happy to submit a PR for this.
3. This is maybe just an issue of mixing of terms, but I'd recommend that if Xgboost wants to advertise LambdaMART on the FAQ that the docs and code then use that term also.

is it resolved?

FWIW, "rank:ndcg" is defined here https://github.com/dmlc/xgboost/blob/72cd1517d6b1d145c34e13a063fadd31b507b01d/src/objective/rank_obj.cc#L331

The docs needs to be updated.

@vatsan Looks like it was an oversight. Can you submit a pull request to update the parameter doc?

@vatsan @Sandy4321 @travisbrady I am adding all objectives to parameter doc: #3672