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Packages that use ClassifierImp | |
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netkit.classifiers.nonrelational | |
netkit.classifiers.relational |
Uses of ClassifierImp in netkit.classifiers.nonrelational |
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Subclasses of ClassifierImp in netkit.classifiers.nonrelational | |
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class |
ClassPrior
This classifier is static and always returns the class marginals. |
class |
ExternalPrior
This classifier reads in estimates from a user-specified file. |
class |
LocalMetaClassifier
Abstract class for combining multiple classifiers. |
class |
LocalWeka
Weka wrapper that uses a specified weka classifier to do its predictions. |
class |
MetaMultiplicative
a classifier that multiplies the predictions of one or more classifiers and returns a normalized distribution as its own estimate. |
class |
NullPrior
Predict nothing. |
class |
UniformPrior
Dummy classifier that always predicts that all classes were equally likely. |
Uses of ClassifierImp in netkit.classifiers.relational |
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Subclasses of ClassifierImp in netkit.classifiers.relational | |
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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 |
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). |
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