[SPARK-7515] [DOC] Update documentation for PySpark on YARN with cluster mode

Now PySpark on YARN with cluster mode is supported so let's update doc.

Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>

Closes #6040 from sarutak/update-doc-for-pyspark-on-yarn and squashes the following commits:

ad9f88c [Kousuke Saruta] Brushed up sentences
469fd2e [Kousuke Saruta] Merge branch 'master' of https://github.com/apache/spark into update-doc-for-pyspark-on-yarn
fcfdb92 [Kousuke Saruta] Updated doc for PySpark on YARN with cluster mode

1 files changed, 1 insertions, 1 deletions

diff --git a/docs/submitting-applications.md b/docs/submitting-applications.md
index 3ecbf2308c..e58645274e 100644
--- a/docs/submitting-applications.md
+++ b/docs/submitting-applications.md
@@ -59,7 +59,7 @@ for applications that involve the REPL (e.g. Spark shell).
 Alternatively, if your application is submitted from a machine far from the worker machines (e.g.
 locally on your laptop), it is common to use `cluster` mode to minimize network latency between
 the drivers and the executors. Note that `cluster` mode is currently not supported for
-Mesos clusters or Python applications.
+Mesos clusters. Currently only YARN supports cluster mode for Python applications.
 
 For Python applications, simply pass a `.py` file in the place of `<application-jar>` instead of a JAR,
 and add Python `.zip`, `.egg` or `.py` files to the search path with `--py-files`.