You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/04/11 16:41:57 UTC

[GitHub] eric-haibin-lin closed pull request #10473: [MXNET-297] updated R docs

eric-haibin-lin closed pull request #10473: [MXNET-297] updated R docs
URL: https://github.com/apache/incubator-mxnet/pull/10473
 
 
   

This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:

As this is a foreign pull request (from a fork), the diff is supplied
below (as it won't show otherwise due to GitHub magic):

diff --git a/docs/api/r/index.md b/docs/api/r/index.md
index 15596e6dfc4..822c59dbe3c 100644
--- a/docs/api/r/index.md
+++ b/docs/api/r/index.md
@@ -1,5 +1,7 @@
 # MXNet - R API
 
+See the [MXNet R Reference Manual](https://s3.amazonaws.com/mxnet-prod/docs/R/mxnet-r-reference-manual.pdf).
+
 MXNet supports the R programming language. The MXNet R package brings flexible and efficient GPU
 computing and state-of-art deep learning to R. It enables you to write seamless tensor/matrix computation with multiple GPUs in R. It also lets you construct and customize the state-of-art deep learning models in R,
   and apply them to tasks, such as image classification and data science challenges.
@@ -21,5 +23,5 @@ You can perform tensor or matrix computation in R:
 ```
 ## Resources
 
+* [MXNet R Reference Manual](https://s3.amazonaws.com/mxnet-prod/docs/R/mxnet-r-reference-manual.pdf)
 * [MXNet for R Tutorials](../../tutorials/r/index.html)
-


 

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services