Uses of Interface
netkit.classifiers.active.PickLabelStrategy

Packages that use PickLabelStrategy

netkit.classifiers
netkit.classifiers.active

Uses of PickLabelStrategy in netkit.classifiers

Fields in netkit.classifiers with type parameters of type PickLabelStrategy

static Factory<PickLabelStrategy>

NetworkLearning.alstrategies

Methods in netkit.classifiers with parameters of type PickLabelStrategy

Estimate	NetworkLearner.runActiveLearner(PickLabelStrategy ps, DataSplit split) See fully parameterized method for details.
Estimate	NetworkLearner.runActiveLearner(PickLabelStrategy ps, DataSplit split, int picksPerIteration, int maxPicks, boolean learnWithTruth, int depth) Run active learning using the given parameters.

Uses of PickLabelStrategy in netkit.classifiers.active

Classes in netkit.classifiers.active that implement PickLabelStrategy

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