Updated scala analyses for Spark 1.0.0

- Used Vector instead of Array[Double] in any streaming algorithms
calling MLLib functions, and added a conversion after loading data for
these algorithms
- Changed auxiliary model classes for StreamingLinearRegression and
StreamingKMeans to mllib package to expose some of the underlying
classes (which are otherwise private to mllib as of 1.0.0)
- Updated artifacts for sbt build
Remove unused model classes
Changed names for consistency with scala code
Updated python code for Spark 1.0.0

- Updated travis to use 1.0.0
- Replaced a use of .mean() with .sum() because new PySpark StatCounter
doesn't work with numpy arrays (see
https://issues.apache.org/jira/browse/SPARK-2012)