From 0ead7f067707e4f318afb61830474c8dbcac9af0 Mon Sep 17 00:00:00 2001 From: david-cortes Date: Fri, 15 Dec 2023 18:00:12 +0100 Subject: [PATCH] update docs for parameters --- doc/parameter.rst | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/doc/parameter.rst b/doc/parameter.rst index d2471dfd9b21..0ce60916e13f 100644 --- a/doc/parameter.rst +++ b/doc/parameter.rst @@ -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] @@ -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]