Class PoolBasedUncertaintySamplingStrategy<T,​I extends ILabeledInstance,​D extends IDataset<I>>

  • Type Parameters:
    T - TARGET
    I - The class of instances
    D - The class of the dataset
    All Implemented Interfaces:
    ISelectiveSamplingStrategy<I>

    public class PoolBasedUncertaintySamplingStrategy<T,​I extends ILabeledInstance,​D extends IDataset<I>>
    extends java.lang.Object
    implements ISelectiveSamplingStrategy<I>
    A simple pool-based uncertainty sampling strategy, which assesses certainty for all instances in the pool and picks the instance with least certainty for the next query.