|
Class Summary |
| 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'. |
| Harmonic |
The Harmonic Function classifier from Zhu (2003)
Reference:
Zhu, X., Ghahramani, Z., & Lafferty, J. |
| MetaMultiplicative |
a classifier that multiplies the predictions of one or more classifiers and returns a normalized
distribution as its own estimate. |
| NetworkClassifierImp |
Core implementation of the NetworkClassifier (and Classifier) interface. |
| NetworkMetaClassifier |
Abstract class for combining multiple relational and non-relational classifiers. |
| 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. |
| NetworkWeka |
Weka wrapper that uses a specified weka classifier to do its predictions. |
| ProbRelationalNeighbor |
This is a probablistic version of wbRN and it estimates nodes by using a Bayesian
combination of the neighbors edges. |
| WeightedVoteRelationalNeighbor |
weighted-vote Relational Neighbor Classifier (wvRN). |