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Merge pull request #186 from pommedeterresautee/master

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Presentation (CSS) : more space + more structure
This commit is contained in:
Tong He 2015-03-02 09:55:23 -08:00
commit aa60c44b25
2 changed files with 19 additions and 27 deletions
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44
R-package/vignettes/vignette.css
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@ -1,4 +1,4 @@
body{ body {
margin: 0 auto; margin: 0 auto;
background-color: white; background-color: white;
@ -23,7 +23,7 @@ body{
/ color: #E3E3E3; /* very light gray */ / color: #E3E3E3; /* very light gray */
/ color: white; / color: white;
line-height: 1; line-height: 100%;
max-width: 800px; max-width: 800px;
padding: 10px; padding: 10px;
font-size: 17px; font-size: 17px;
@ -32,8 +32,8 @@ body{
} }
p { p {
line-height: 140%; line-height: 150%;
/ max-width: 540px; / max-width: 540px;
max-width: 960px; max-width: 960px;
margin-bottom: 5px; margin-bottom: 5px;
@ -42,51 +42,43 @@ p {
} }
h1, h2, h3, h4 { h1, h2, h3, h4, h5, h6 {
/ color: #111111;
font-weight: 400; font-weight: 400;
} margin-top: 35px;
margin-bottom: 15px;
h2, h3, h4, h5 { padding-top: 10px;
margin-bottom: 20px;
padding: 0;
} }
h1 { h1 {
margin-bottom: 10px; margin-top: 70px;
color: #606AAA;
font-size:230%; font-size:230%;
padding: 0px;
font-variant:small-caps; font-variant:small-caps;
padding-bottom:20px;
width:100%;
border-bottom:1px solid #606AAA;
} }
h2 { h2 {
font-size:130%; font-size:160%;
/ margin: 24px 0 6px;
} }
h3 { h3 {
font-size:110%; font-size:130%;
text-decoration: underline;
} }
h4 { h4 {
font-size:100%; font-size:120%;
font-style: italic;
font-variant:small-caps; font-variant:small-caps;
} }
h5 { h5 {
font-size:100%; font-size:120%;
font-weight: 100;
font-style: italic;
} }
h6 { h6 {
font-size:100%; font-size:120%;
font-weight: 100;
color:red;
font-variant:small-caps; font-variant:small-caps;
font-style: italic;
} }
a { a {

2
R-package/vignettes/xgboostPresentation.Rmd
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@ -20,7 +20,7 @@ Introduction
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 @friedman2001greedy. Two solvers are included: It is an efficient and scalable implementation of gradient boosting framework by @friedman2000additive and @friedman2001greedy. Two solvers are included:
- *linear* model ; - *linear* model ;
- *tree learning* algorithm. - *tree learning* algorithm.