Deduplicate Local and Cluster schedulers.

The code in LocalScheduler/LocalTaskSetManager was nearly identical
to the code in ClusterScheduler/ClusterTaskSetManager. The redundancy
made making updating the schedulers unnecessarily painful and error-
prone. This commit combines the two into a single TaskScheduler/
TaskSetManager.
Fixed most issues with unit tests
Cleaned up imports and fixed test bug
Extracted TaskScheduler interface.

Also changed the default maximum number of task failures to be
0 when running in local mode.
Merge remote-tracking branch 'upstream/master' into consolidate_schedulers

Conflicts:
	core/src/main/scala/org/apache/spark/scheduler/ClusterScheduler.scala
Fixed naming issues and added back ability to specify max task failures.
Changed local backend to use Akka actor
Fix bug where scheduler could hang after task failure.

When a task fails, we need to call reviveOffers() so that the
task can be rescheduled on a different machine. In the current code,
the state in ClusterTaskSetManager indicating which tasks are
pending may be updated after revive offers is called (there's a
race condition here), so when revive offers is called, the task set
manager does not yet realize that there are failed tasks that need
to be relaunched.
Don't retry tasks if result wasn't serializable
Merge remote-tracking branch 'upstream/master' into consolidate_schedulers

Conflicts:
	core/src/main/scala/org/apache/spark/scheduler/cluster/ClusterTaskSetManager.scala
Fixed error message in ClusterScheduler to be consistent with the old LocalScheduler
Merge master into 127
First cut at python mllib bindings.  Only LinearRegression is supported.
The rest of the Python side of those bindings.
Incorporate most of Josh's style suggestions.  I don't want to deal with the type and length checking errors until we've got at least one working stub that we're all happy with.
Clean up shuffle files once their metadata is gone

Previously, we would only clean the in-memory metadata for consolidated
shuffle files.

Additionally, fixes a bug where the Metadata Cleaner was ignoring type-
specific TTLs.
Un-semicolon PythonMLLibAPI.
Bindings for linear, Lasso, and ridge regression.
Python side of python bindings for linear, Lasso, and ridge regression
Scala classification and clustering stubs; matrix serialization/deserialization.