Hendrik/xgboost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Vignette text

Browse Source
This commit is contained in:
El Potaeto
2015-02-12 13:59:45 +01:00
parent 234cf49e35
commit 09a6522704
2 changed files with 17 additions and 10 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
R-package/vignettes/discoverYourData.Rmd
View File

@@ -16,19 +16,15 @@ Introduction
The purpose of this Vignette is to show you how to use **Xgboost** to discover and better understand your own dataset.
You may know **Xgboost** as a state of the art tool to build some kind of Machine learning models. It has been [used](https://github.com/tqchen/xgboost) to win several [Kaggle](http://www.kaggle.com) competition.
During these competition, the purpose is to make prediction. This Vignette is not about showing you how to predict anything (see [Xgboost presentation](www.somewhere.org)). The purpose of this document is to explain how to use **Xgboost** to understand the *link* between the *features* of your data and an *outcome*.
This Vignette is not about showing you how to predict anything (see [Xgboost presentation](www.somewhere.org)). The purpose of this document is to explain how to use **Xgboost** to understand the *link* between the *features* of your data and an *outcome*.
For the purpose of this tutorial we will first load the required packages.
--> ADD PART REGARDING INSTALLATION FROM GITHUB
```{r libLoading, results='hold', message=F, warning=F}
require(xgboost)
require(Matrix)
require(data.table)
if (!require(vcd)) install.packages('vcd')
if (!require('vcd')) install.packages('vcd')
```
> **VCD** package is used for one of its embedded dataset only (and not for its own functions).