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[doc] Fix the default value for lambdarank_pair_method. (#10098)

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Jiaming Yuan 2024-03-11 14:53:17 +08:00 committed by GitHub
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doc/parameter.rst
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@ -489,7 +489,7 @@ Parameters for learning to rank (``rank:ndcg``, ``rank:map``, ``rank:pairwise``)
These are parameters specific to learning to rank task. See :doc:`Learning to Rank </tutorials/learning_to_rank>` for an in-depth explanation. These are parameters specific to learning to rank task. See :doc:`Learning to Rank </tutorials/learning_to_rank>` for an in-depth explanation.
* ``lambdarank_pair_method`` [default = ``mean``] * ``lambdarank_pair_method`` [default = ``topk``]
How to construct pairs for pair-wise learning. How to construct pairs for pair-wise learning.
@ -502,6 +502,8 @@ These are parameters specific to learning to rank task. See :doc:`Learning to Ra
* ``lambdarank_normalization`` [default = ``true``] * ``lambdarank_normalization`` [default = ``true``]
.. versionadded:: 2.1.0
Whether to normalize the leaf value by lambda gradient. This can sometimes stagnate the training progress. Whether to normalize the leaf value by lambda gradient. This can sometimes stagnate the training progress.
* ``lambdarank_unbiased`` [default = ``false``] * ``lambdarank_unbiased`` [default = ``false``]