* fixed LinearRegression train() to use embedded paramMap
* added Predictor.predict(RDD[Vector]) method
* updated Linear/LogisticRegressionSuites
Added JavaLabeledPointSuite.java for spark.ml, and added constructor to LabeledPoint which defaults weight to 1.0
Added methods:
* Classifier: batch predictRaw()
* Predictor: train() without paramMap
ProbabilisticClassificationModel.predictProbabilities()
* Java versions of all above batch methods + others

Updated LogisticRegressionSuite.
Updated JavaLogisticRegressionSuite to match LogisticRegressionSuite.