[DOC] minor fix

R-package/vignettes/classifyRealImageWithPretrainedModel.Rmd

@@ -9,6 +9,12 @@ real world image. The network architecture is decribed in [1].
 The pre-trained Inception-BatchNorm network is able to be downloaded from [this link](http://webdocs.cs.ualberta.ca/~bx3/data/Inception.zip)
 This model gives the recent state-of-art prediction accuracy on image net dataset.
 
+Preface
+-------
+This tutorial is written in Rmarkdown.
+- You can directly view the hosted version of the tutorial from [MXNet R Document](http://mxnet.readthedocs.org/en/latest/R-package/classifyRealImageWithPretrainedModel.html)
+- You can find the download the Rmarkdown source from [here](https://github.com/dmlc/mxnet/blob/master/R-package/vignettes/classifyRealImageWithPretrainedModel.Rmd)
+
 Pacakge Loading
 ---------------
 To get started, we load the mxnet package by require mxnet.

doc/R-package/index.md

@@ -16,7 +16,7 @@ Installation
 - First build ```../lib/libmxnet.so``` by following [Build Instruction](../doc/build.md)
 - Type ```R CMD INSTALL R-package``` in the root folder.
 
-
 Contributor Guide
 -----------------
-* [R Contributor Guide](../contribute.md#r-package) gives various guidelines on how to contribute code, tutorial, rmarkdown examples to mxnet.
+* [Contributor Guide](http://mxnet.readthedocs.org/en/latest/contribute.html#r-package) R package section gives various guidelines on how to contribute code, tutorial, rmarkdown examples to mxnet.
+

doc/contribute.md

@@ -137,23 +137,23 @@ make roxygen
 ```
 
 ### Rmarkdown Vignettes
-Rmarkdown vignettes are placed in [root/R-package/vignettes](../R-package/vignettes)
-These Rmarkdown files are not compiled. We host the compiled version on [root/doc/R-package](R-package)
+Rmarkdown vignettes are placed in [R-package/vignettes](../R-package/vignettes)
+These Rmarkdown files are not compiled. We host the compiled version on [doc/R-package](R-package)
 
 The following steps are followed to add a new Rmarkdown vignettes:
-- Add the original rmarkdown to [R-package/vignettes](../R-package/vignettes)
+- Add the original rmarkdown to ```R-package/vignettes```
 - Modify ```doc/R-package/Makefile``` to add the markdown files to be build
-- Clone the [dmlc/doc-image](https://github.com/dmlc/doc-image) repo to folder ```doc```
+- Clone the [dmlc/web-data](https://github.com/dmlc/web-data) repo to folder ```doc```
 - Now type the following command on ```doc/R-package```
 ```bash
-make the-markdown-tomake.md
+make the-markdown-to-make.md
 ```
-- This will generate the markdown, as well as the figures into ```doc/dmlc-image/mxnet/knitr```
-- Add the generated markdown to the doc, modify the ```doc/R-package/index.md``` to point to the doc.
-- Add the generated figure to the ```dmlc/dmlc-image``` repo.
+- This will generate the markdown, as well as the figures into ```doc/web-data/mxnet/knitr```
+- Modify the ```doc/R-package/index.md``` to point to the generated markdown.
+- Add the generated figure to the ```dmlc/web-data``` repo.
   - If you already cloned the repo to doc, this means a ```git add```
-- Create PR for both the markdown  and ```dmlc-image```
-- You can also build the document locally by typing the followig command at ```doc folder```
+- Create PR for both the markdown  and ```dmlc/web-data```
+- You can also build the document locally by typing the followig command at ```doc```
 ```bash
 make html
 ```

doc/sphinx_util.py

@@ -26,17 +26,19 @@ def run_build_mxnet(folder):
 else:
     subprocess.call('cd ../recommonmark/; git pull', shell=True)
 
-if not os.path.exists('doc-image'):
-    subprocess.call('rm -rf doc-image;' +
-                    'git clone https://github.com/dmlc/doc-image', shell = True)
+if not os.path.exists('web-data'):
+    subprocess.call('rm -rf web-data;' +
+                    'git clone https://github.com/dmlc/web-data', shell = True)
 else:
-    subprocess.call('cd doc-image; git pull', shell=True)
+    subprocess.call('cd web-data; git pull', shell=True)
 
 
 run_build_mxnet("..")
 sys.path.insert(0, os.path.abspath('../recommonmark/'))
 
 
+sys.stderr.write('READTHEDOCS=%s\n' % (READTHEDOCS_BUILD))
+
 from recommonmark import parser, transform
 
 MarkdownParser = parser.CommonMarkParser