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Add small details to parameters docs #9900

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Dec 16, 2023
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Add small details to parameters docs #9900

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3 changes: 2 additions & 1 deletion doc/parameter.rst
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Expand Up @@ -78,7 +78,7 @@ Parameters for Tree Booster

* ``gamma`` [default=0, alias: ``min_split_loss``]

- Minimum loss reduction required to make a further partition on a leaf node of the tree. The larger ``gamma`` is, the more conservative the algorithm will be.
- Minimum loss reduction required to make a further partition on a leaf node of the tree. The larger ``gamma`` is, the more conservative the algorithm will be. Note that a tree where no splits were made might still contain a single terminal node with a non-zero score.
- range: [0,∞]

* ``max_depth`` [default=6]
Expand Down Expand Up @@ -388,6 +388,7 @@ Specify the learning task and the corresponding learning objective. The objectiv
- The initial prediction score of all instances, global bias
- The parameter is automatically estimated for selected objectives before training. To
disable the estimation, specify a real number argument.
- If ``base_margin`` is supplied, ``base_score`` will not be added.
- For sufficient number of iterations, changing this value will not have too much effect.

* ``eval_metric`` [default according to objective]
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