Splits points into two sets: the n closest to the SVM's margin, and all others.
an RDD of unlabeled points in the form (id, feature vector, labeling context).
The number of points to select.
An SVM model with trained weights.
Two RDDs in the same format as input, one consisting of points close to the margin, the other consisting of the remaining points.