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How to use xgboost to do lambdamart listwise ranking? #901

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gusuperstar opened this issue Mar 2, 2016 · 9 comments
Closed

How to use xgboost to do lambdamart listwise ranking? #901

gusuperstar opened this issue Mar 2, 2016 · 9 comments

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@gusuperstar
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“rank:pairwise” –set XGBoost to do ranking task by minimizing the pairwise loss

do u mean this? Since lambdamart is a listwise approach, how can i fit it to listwise ranking? including commond, parameters, and training data format, and where can i set the lambda for lambdamart.
could u give a brief demo or intro? many thanks!

@gusuperstar
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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?

@tqchen
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tqchen commented Mar 4, 2016

use rank:ndcg for lambda rank with ndcg metric

@tqchen tqchen closed this as completed Mar 7, 2016
@gdf0
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gdf0 commented Aug 16, 2016

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.

@kapild
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kapild commented Jan 4, 2017

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

@travisbrady
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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.

@Sandy4321
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is it resolved?

@vatsan
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vatsan commented Sep 4, 2018

FWIW, "rank:ndcg" is defined here

XGBOOST_REGISTER_OBJECTIVE(LambdaRankNDCG, "rank:ndcg")

The docs needs to be updated.

@hcho3
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hcho3 commented Sep 4, 2018

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

@hcho3
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hcho3 commented Sep 5, 2018

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

@lock lock bot locked as resolved and limited conversation to collaborators Dec 4, 2018
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