Also build and copy ML Lib scaladoc in Spark docs build.
Some more minor cleanup with respect to naming, test locations etc.

This overcomes test failures that occur using Maven

Also remove java-specific constructor for LabeledPoint.

The scala constructor works for native type java types. Modify examples
to match this.

This change adds Java examples and unit tests for all GLM algorithms
to make sure the MLLib interface works from Java. Changes include
- Introduce LabeledPoint and avoid using Doubles in train arguments
- Rename train to run in class methods
- Make the optimizer a member variable of GLM to make sure the builder
  pattern works

Also workaround a bug where double[][] class cast fails

- Changes ALS to accept RDD[Rating] instead of (Int, Int, Double) making it
  easier to call from Java
- Renames class methods from `train` to `run` to enable static methods to be
  called from Java.
- Add unit tests which check if both static / class methods can be called.
- Also add examples which port the main() function in ALS, KMeans to the
  examples project.

Couple of minor changes to existing code:
- Add a toJavaRDD method in RDD to convert scala RDD to java RDD easily
- Workaround a bug where using double[] from Java leads to class cast exception in
  KMeans init

This change refactors the structure of GLMs to use mixins which maintain
a similar interface to other ML lib algorithms. This change also creates
an Optimizer trait which allows GLMs to be extended to use other optimization
techniques.

Also made it possible to specify the number of runs in KMeans.main().

This refactoring pulls out code shared between SVM, Lasso, LR into
a common GradientDescentOpts class. Some style cleanup as well

Also add jblas dependency to mllib pom.xml

Renamed Classification.scala to ClassificationModel.scala and Regression.scala to RegressionModel.scala

Also some minor style fixes.

Lines shortened to < 100 characters

Classifiers return categorical (Int) values that should be compared
directly

Also minor changes to formatting and comments