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update docs for parameters (#9900)

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david-cortes 2023-12-16 05:19:22 +01:00 committed by GitHub
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doc/parameter.rst
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@ -78,7 +78,7 @@ Parameters for Tree Booster
* ``gamma`` [default=0, alias: ``min_split_loss``] * ``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,∞] - range: [0,∞]
* ``max_depth`` [default=6] * ``max_depth`` [default=6]
@ -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 initial prediction score of all instances, global bias
- The parameter is automatically estimated for selected objectives before training. To - The parameter is automatically estimated for selected objectives before training. To
disable the estimation, specify a real number argument. 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. - For sufficient number of iterations, changing this value will not have too much effect.
* ``eval_metric`` [default according to objective] * ``eval_metric`` [default according to objective]