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