Vignettes improvement

This commit is contained in:
El Potaeto
2015-02-10 17:09:21 +01:00
parent c0d8ae3781
commit cefd55ef00
2 changed files with 69 additions and 19 deletions

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@@ -12,7 +12,7 @@ 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 to win several [Kaggle](http://www.kaggle.com/) competition ([more information](https://github.com/tqchen/xgboost)).
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. 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*.
@@ -24,7 +24,7 @@ require(Matrix)
require(data.table)
if (!require(vcd)) install.packages('vcd')
```
*Note that **VCD** is used for one of its embedded dataset only (and not for its own functions).*
> **VCD** is used for one of its embedded dataset only (and not for its own functions).
Preparation of the dataset
==========================