From 5a91ded2140cceaa79611ba0ef93b98f4f58b1e5 Mon Sep 17 00:00:00 2001 From: YenChenLin Date: Thu, 7 Jan 2016 22:19:15 +0800 Subject: [PATCH] Remove redundant word --- doc/model.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/model.md b/doc/model.md index ee6a604fd..1d46d053c 100644 --- a/doc/model.md +++ b/doc/model.md @@ -162,7 +162,7 @@ After we remove all the constants, the specific objective at step ``$t$`` become This becomes our optimization goal for the new tree. One important advantage of this definition is that it only depends on ``$g_i$`` and ``$h_i$``. This is how xgboost can support custom loss functions. -We can optimize every loss function, including logistic regression, weighted logistic regression, using the exactly +We can optimize every loss function, including logistic regression, weighted logistic regression, using exactly the same solver that takes ``$g_i$`` and ``$h_i$`` as input! ### Model Complexity