Uses of Interface
netkit.classifiers.relational.NetworkClassifier

Packages that use NetworkClassifier

netkit.classifiers
netkit.classifiers.relational
netkit.inference

Uses of NetworkClassifier in netkit.classifiers

Fields in netkit.classifiers with type parameters of type NetworkClassifier

static Factory<NetworkClassifier>

NetworkLearning.rclassifiers

Methods in netkit.classifiers that return NetworkClassifier

NetworkClassifier

NetworkLearner.getNetworkClassifier()

Constructors in netkit.classifiers with parameters of type NetworkClassifier

NetworkLearner(Classifier lc, NetworkClassifier nc, InferenceMethod ic, boolean applyCMN)

Uses of NetworkClassifier in netkit.classifiers.relational

Classes in netkit.classifiers.relational that implement NetworkClassifier

class	ClassDistribRelNeighbor The Class Distributional Relational Neighbor (ClassDistributRelNeighbor) classifier works by creating a 'prototypical' class vector for each class of node and then estimating a label for a new node by calculating how near that new node is to each of these 'class reference vectors'.
class	Harmonic The Harmonic Function classifier from Zhu (2003) Reference: Zhu, X., Ghahramani, Z., & Lafferty, J.
class	MetaMultiplicative a classifier that multiplies the predictions of one or more classifiers and returns a normalized distribution as its own estimate.
class	NetworkClassifierImp Core implementation of the NetworkClassifier (and Classifier) interface.
class	NetworkMetaClassifier Abstract class for combining multiple relational and non-relational classifiers.
class	NetworkOnlyBayes Network-only Bayes Classifier induces a naive Bayes model based on labels of neighbors of a node and uses a Markov random field formulation when one or more neighbors have estimated labels.
class	NetworkWeka Weka wrapper that uses a specified weka classifier to do its predictions.
class	ProbRelationalNeighbor This is a probablistic version of wbRN and it estimates nodes by using a Bayesian combination of the neighbors edges.
class	WeightedVoteRelationalNeighbor weighted-vote Relational Neighbor Classifier (wvRN).

Fields in netkit.classifiers.relational with type parameters of type NetworkClassifier

protected java.util.ArrayList<NetworkClassifier>

NetworkMetaClassifier.rclassifiers The list of relational classifiers to use

Uses of NetworkClassifier in netkit.inference

Methods in netkit.inference with parameters of type NetworkClassifier

Classification	InferenceMethod.classify(NetworkClassifier networkClassifier, java.util.Iterator<Node> unknowns)
void	InferenceMethod.classify(NetworkClassifier networkClassifier, java.util.Iterator<Node> unknowns, Classification result)
Estimate	InferenceMethod.estimate(NetworkClassifier networkClassifier, java.util.Iterator<Node> unknowns)
void	InferenceMethod.estimate(NetworkClassifier networkClassifier, java.util.Iterator<Node> unknowns, Estimate result)
double	InferenceMethod.getCurrentTrainingLOOAccuracy(NetworkClassifier nc) What is the accuracy on the training data, if we do a leave-one-out estimation, keeping current predictions for the test set.
boolean	RelaxationLabeling.iterate(NetworkClassifier networkClassifier)
boolean	NullInference.iterate(NetworkClassifier networkClassifier)
boolean	IterativeClassification.iterate(NetworkClassifier networkClassifier)
protected abstract boolean	InferenceMethod.iterate(NetworkClassifier networkClassifier)
boolean	GibbsSampling.iterate(NetworkClassifier networkClassifier)