From 3b438631d3496e69c378a21489dad4c592f688d4 Mon Sep 17 00:00:00 2001 From: fis Date: Fri, 14 Aug 2020 13:18:04 +0800 Subject: [PATCH] Doc. --- doc/parameter.rst | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/doc/parameter.rst b/doc/parameter.rst index 685bddbc815d..7e7e774a2bfa 100644 --- a/doc/parameter.rst +++ b/doc/parameter.rst @@ -108,7 +108,8 @@ Parameters for Tree Booster each split. On Python interface, one can set the ``feature_weights`` for DMatrix to define the - probability of each feature being selected when using column sampling. + probability of each feature being selected when using column sampling. There's a + similar parameter for ``fit`` method in sklearn interface. * ``lambda`` [default=1, alias: ``reg_lambda``] @@ -227,7 +228,7 @@ Parameters for Tree Booster list is a group of indices of features that are allowed to interact with each other. See tutorial for more information -Additional parameters for ``hist`` and ```gpu_hist`` tree method +Additional parameters for ``hist`` and ``gpu_hist`` tree method ================================================================ * ``single_precision_histogram``, [default=``false``]