Uses of Class
netkit.classifiers.relational.NetworkClassifierImp

Packages that use NetworkClassifierImp

netkit.classifiers.relational

Uses of NetworkClassifierImp in netkit.classifiers.relational

Subclasses of NetworkClassifierImp in netkit.classifiers.relational

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	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).