sampleclean.activeml

ActivePointSelector

abstract class ActivePointSelector[M, C <: PointLabelingContext] extends Serializable

Class for using active selection criteria to pick points for labeling during active learning.

M

the type of model used by the selector

C

the point labeling context used by unlabeled points.

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  1. new ActivePointSelector()

Abstract Value Members

  1. abstract def selectPoints(input: RDD[(String, Vector, C)], nPoints: Int, model: M): (RDD[(String, Vector, C)], RDD[(String, Vector, C)])

    Splits points into two sets: the n points to label next, and all others.

    Splits points into two sets: the n points to label next, and all others.

    input

    an RDD of unlabeled points in the form (id, feature vector, labeling context).

    nPoints

    The number of points to select.

    model

    A trained model.

    returns

    Two RDDs in the same format as input, one consisting of points close to the margin, the other consisting of the remaining points.

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