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Fix spelling in documents (#6948)

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* Update roxygen2 doc.

Co-authored-by: fis <jm.yuan@outlook.com>
This commit is contained in:
Andrew Ziem
2021-05-11 06:44:36 -06:00
committed by GitHub
parent 2a9979e256
commit 3e7e426b36
100 changed files with 284 additions and 284 deletions
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doc/R-package/xgboostPresentation.md
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@@ -5,9 +5,9 @@ XGBoost R Tutorial
## Introduction
**Xgboost** is short for e**X**treme **G**radient **Boost**ing package.
**XGBoost** is short for e**X**treme **G**radient **Boost**ing package.
The purpose of this Vignette is to show you how to use **Xgboost** to build a model and make predictions.
The purpose of this Vignette is to show you how to use **XGBoost** to build a model and make predictions.
It is an efficient and scalable implementation of gradient boosting framework by @friedman2000additive and @friedman2001greedy. Two solvers are included:
@@ -32,10 +32,10 @@ It has several features:
## Installation
### Github version
### GitHub version
For weekly updated version (highly recommended), install from *Github*:
For weekly updated version (highly recommended), install from *GitHub*:
```r
@@ -177,7 +177,7 @@ We will train decision tree model using the following parameters:
* `objective = "binary:logistic"`: we will train a binary classification model ;
* `max.depth = 2`: the trees won't be deep, because our case is very simple ;
* `nthread = 2`: the number of cpu threads we are going to use;
* `nthread = 2`: the number of CPU threads we are going to use;
* `nrounds = 2`: there will be two passes on the data, the second one will enhance the model by further reducing the difference between ground truth and prediction.