I noticed when connecting to a standalone cluster Spark gives a bunch
of Akka ERROR logs that make it seem like something is failing.

This patch does two things:

1. Akka dead letter logging is turned on/off according to the existing
   lifecycle spark property.
2. We explicitly silence akka's EndpointWriter log in log4j. This is necessary
   because for some reason that log doesn't pick up on the lifecycle
   logging settings. After a few hours of debugging this was the only solution
   I found that worked.

standard Naive Bayes classifier

Has implemented the standard Naive Bayes classifier. This is an updated version of #288, which is closed because of misoperations.

SPARK-1002: Remove Binaries from Spark Source

This adds a few changes on top of the work by @scrapcodes.

Conflicts:
	core/src/test/scala/org/apache/spark/DriverSuite.scala
	docs/python-programming-guide.md

Closes #316

Modify spark on yarn to create SparkConf process

Spark-915 segregate scripts

Yarn refactor

fix spark on yarn after the sparkConf changes

This fixes it so that spark on yarn now compiles and works after the sparkConf changes.

There are also other issues I discovered along the way that are broken:
- mvn builds for yarn don't assemble correctly
- unset SPARK_EXAMPLES_JAR isn't handled properly anymore
- I'm pretty sure spark.conf doesn't actually work as its not distributed with yarn

those things can be fixed in separate pr unless others disagree.

Remove erroneous FAILED state for killed tasks.

Currently, when tasks are killed, the Executor first sends a
status update for the task with a "KILLED" state, and then
sends a second status update with a "FAILED" state saying that
the task failed due to an exception. The second FAILED state is
misleading/unncessary, and occurs due to a NonLocalReturnControl
Exception that gets thrown due to the way we kill tasks. This
commit eliminates that problem.

I'm not at all sure that this is the best way to fix this problem,
so alternate suggestions welcome. @rxin guessing you're the right
person to look at this.