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[doc] Document the current status of some features. (#9469)

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Jiaming Yuan
2023-08-13 23:42:27 +08:00
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parent 801116c307
commit fd4335d0bf
3 changed files with 21 additions and 10 deletions
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7
doc/tutorials/multioutput.rst
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@@ -11,6 +11,11 @@ can be simultaneously classified as both sci-fi and comedy. For detailed explan
terminologies related to different multi-output models please refer to the
:doc:`scikit-learn user guide <sklearn:modules/multiclass>`.
.. note::
As of XGBoost 2.0, the feature is experimental and has limited features. Only the
Python package is tested.
**********************************
Training with One-Model-Per-Target
**********************************
@@ -49,7 +54,7 @@ Training with Vector Leaf
.. note::
This is still working-in-progress, and many features are missing.
This is still working-in-progress, and most features are missing.
XGBoost can optionally build multi-output trees with the size of leaf equals to the number
of targets when the tree method `hist` is used. The behavior can be controlled by the