[SPARK-4822] Use sphinx tags for Python doc annotations

Modify python annotations for sphinx. There is no change to build process from.
https://github.com/apache/spark/blob/master/docs/README.md

Author: lewuathe <lewuathe@me.com>

Closes #3685 from Lewuathe/sphinx-tag-for-pydoc and squashes the following commits:

88a0fd9 [lewuathe] [SPARK-4822] Fix DevelopApi and WARN tags
3d7a398 [lewuathe] [SPARK-4822] Use sphinx tags for Python doc annotations

1 files changed, 4 insertions, 4 deletions

diff --git a/python/pyspark/rdd.py b/python/pyspark/rdd.py
index bd2ff00c0f..c1120cf781 100644
--- a/python/pyspark/rdd.py
+++ b/python/pyspark/rdd.py
@@ -1964,7 +1964,7 @@ class RDD(object):
 
     def countApprox(self, timeout, confidence=0.95):
         """
-        :: Experimental ::
+        .. note:: Experimental
         Approximate version of count() that returns a potentially incomplete
         result within a timeout, even if not all tasks have finished.
 
@@ -1977,7 +1977,7 @@ class RDD(object):
 
     def sumApprox(self, timeout, confidence=0.95):
         """
-        :: Experimental ::
+        .. note:: Experimental
         Approximate operation to return the sum within a timeout
         or meet the confidence.
 
@@ -1993,7 +1993,7 @@ class RDD(object):
 
     def meanApprox(self, timeout, confidence=0.95):
         """
-        :: Experimental ::
+        .. note:: Experimental
         Approximate operation to return the mean within a timeout
         or meet the confidence.
 
@@ -2009,7 +2009,7 @@ class RDD(object):
 
     def countApproxDistinct(self, relativeSD=0.05):
         """
-        :: Experimental ::
+        .. note:: Experimental
         Return approximate number of distinct elements in the RDD.
 
         The algorithm used is based on streamlib's implementation of