Package netkit.classifiers.active

Interface Summary

PickLabelStrategy

Class Summary

ComparatorLabeler	This class does a comparison between multiple active learning strategies.
EmpiricalRiskMinimization
EmpiricalRiskMinimizationHarmonic
ERMHybrid	This class duses multiple active learning strategies to pick the next candidate(s).
GraphCentralityLabeling	Graph Centrality Labeling for Active Learning iteratively picks central nodes in a graph that are in clusters that have no known labels.
GreedyTruth	Picks next labels by getting the best jump in accuracy, knowing what the truth is.
PickLabelStrategy.LabelNode
PickLabelStrategyImp
RandomLabeling
UncertaintyLabeling