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[doc] Fix typo. [skip ci] (#7226)

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Jiaming Yuan 2021-09-17 11:13:49 +08:00 committed by GitHub
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doc/treemethod.rst
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@ -19,9 +19,9 @@ Exact Solution
Exact means XGBoost considers all candidates from data for tree splitting, but underlying Exact means XGBoost considers all candidates from data for tree splitting, but underlying
the objective is still interpreted as a Taylor expansion. the objective is still interpreted as a Taylor expansion.
1. ``exact``: Vanilla tree boosting tree algorithm described in `reference paper 1. ``exact``: Vanilla gradient boosting tree algorithm described in `reference paper
<http://arxiv.org/abs/1603.02754>`_. During each split finding procedure, it iterates <http://arxiv.org/abs/1603.02754>`_. During each split finding procedure, it iterates
over every entry of input data. It's more accurate (among other greedy methods) but over all entries of input data. It's more accurate (among other greedy methods) but
slow in computation performance. Also it doesn't support distributed training as slow in computation performance. Also it doesn't support distributed training as
XGBoost employs row spliting data distribution while ``exact`` tree method works on a XGBoost employs row spliting data distribution while ``exact`` tree method works on a
sorted column format. This tree method can be used with parameter ``tree_method`` set sorted column format. This tree method can be used with parameter ``tree_method`` set