[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 <sarutakoss.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

Author: Punya Biswal <[email protected]>
Author: Kousuke Saruta <[email protected]>

Closes #6842 from punya/feature/SPARK-7515 and squashes the following commits:

0b83648 [Punya Biswal] Merge remote-tracking branch 'origin/branch-1.4' into feature/SPARK-7515
de025cd [Kousuke Saruta] [SPARK-7515] [DOC] Update documentation for PySpark on YARN with cluster mode

Author: Punya Biswal

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`.