Uses of Class
netkit.util.Configuration

Packages that use Configuration

netkit.classifiers
netkit.classifiers.active
netkit.classifiers.aggregators
netkit.classifiers.nonrelational
netkit.classifiers.relational
netkit.inference
netkit.util

Uses of Configuration in netkit.classifiers

Methods in netkit.classifiers that return Configuration

Configuration	NetworkLearning.getDefaultConfiguration()
Configuration	ClassifierImp.getDefaultConfiguration()

Methods in netkit.classifiers with parameters of type Configuration

void	NetworkLearning.configure(Configuration conf)
void	ClassifierImp.configure(Configuration config)

Uses of Configuration in netkit.classifiers.active

Methods in netkit.classifiers.active that return Configuration

Configuration	UncertaintyLabeling.getDefaultConfiguration()
Configuration	PickLabelStrategyImp.getDefaultConfiguration()
Configuration	GreedyTruth.getDefaultConfiguration()
Configuration	GraphCentralityLabeling.getDefaultConfiguration()
Configuration	ERMHybrid.getDefaultConfiguration()
Configuration	EmpiricalRiskMinimizationHarmonic.getDefaultConfiguration()
Configuration	EmpiricalRiskMinimization.getDefaultConfiguration()

Methods in netkit.classifiers.active with parameters of type Configuration

void	UncertaintyLabeling.configure(Configuration config)
void	PickLabelStrategyImp.configure(Configuration config)
void	GreedyTruth.configure(Configuration config)
void	GraphCentralityLabeling.configure(Configuration config)
void	ERMHybrid.configure(Configuration config)
void	EmpiricalRiskMinimizationHarmonic.configure(Configuration config)
void	EmpiricalRiskMinimization.configure(Configuration config)
void	ComparatorLabeler.configure(Configuration config)

Uses of Configuration in netkit.classifiers.aggregators

Methods in netkit.classifiers.aggregators with parameters of type Configuration

Aggregator	AggregatorFactory.get(java.lang.String name, Configuration defaultConf) Get an instance of the fully named aggregator using a given Configuration map.
Aggregator	AggregatorFactory.get(java.lang.String name, EdgeType[] edgeTypes, Attribute attribute, Configuration defaultConf) This is not yet supported.
Aggregator	AggregatorFactory.get(java.lang.String name, EdgeType[] edgeTypes, Attribute attribute, double value, Configuration defaultConf) This is not yet supported.
Aggregator	AggregatorFactory.get(java.lang.String name, EdgeType edgeType, Attribute attribute, Configuration defaultConf) Get an instance of the named general attribute aggregator for the given relation and attribute.
Aggregator	AggregatorFactory.get(java.lang.String name, EdgeType edgeType, Attribute attribute, double value, Configuration defaultConf) Get an instance of the named attribute aggregator-by-value for the given relation, attribute and value.

Uses of Configuration in netkit.classifiers.nonrelational

Methods in netkit.classifiers.nonrelational that return Configuration

Configuration	LocalMetaClassifier.getDefaultConfiguration() Default configuration uses only the naive Bayes classifier in addition to any defaults from the superclass
Configuration	ExternalPrior.getDefaultConfiguration() Sets a default configuration where the reader is of type 'rainbow', which should resolve to the ReadEstimateRainbow class in the 'readestimate.properties' file.

Methods in netkit.classifiers.nonrelational with parameters of type Configuration

void	LocalWeka.configure(Configuration config) Configure this classifier by getting the Weka classifier object using the classifier and options properties in addition to anything used by the superclass.
void	LocalMetaClassifier.configure(Configuration config) Configures the classifier by getting the list of classifiers to use (comma-separated list in the NetworkLearning.LC_PREFIX property.
void	ExternalPrior.configure(Configuration config) Configure this classifier using the passed-in configuration.

Uses of Configuration in netkit.classifiers.relational

Methods in netkit.classifiers.relational that return Configuration

Configuration	WeightedVoteRelationalNeighbor.getDefaultConfiguration() Creates and returns a default configuration, which only includes the laplaceonce, laplace and lfactor properties (the only ones used in this classifier as nothing else is not configurable).
Configuration	ProbRelationalNeighbor.getDefaultConfiguration()
Configuration	NetworkOnlyBayes.getDefaultConfiguration() Create a default configuration for this classifier.
Configuration	NetworkMetaClassifier.getDefaultConfiguration() Get the detault configuration of using a naive Bayes classifier both as the single non-relational and the single relational classifier..
Configuration	NetworkClassifierImp.getDefaultConfiguration() Default configuration for relational learners.
Configuration	ClassDistribRelNeighbor.getDefaultConfiguration() Get the detault configuration of using a cosine distance function, and aggregating only on the class attribute using the ratio aggregator.

Methods in netkit.classifiers.relational with parameters of type Configuration

void	WeightedVoteRelationalNeighbor.configure(Configuration conf) Configures the classifier with respect to laplace correction: whether to have it (and what kind) and whether tu use it only on the first iteration of collective inferencing.
void	ProbRelationalNeighbor.configure(Configuration conf) This does not use the configuration.
void	NetworkWeka.configure(Configuration config) Configure this classifier by getting the Weka classifier object using the classifier and options properties in addition to anything used by the superclass.
void	NetworkOnlyBayes.configure(Configuration config) Configures this classifier.
void	NetworkMetaClassifier.configure(Configuration config) Configure this classifier by getting the Weka classifier object using the classifier and options properties in addition to anything used by the superclass.
void	NetworkClassifierImp.configure(Configuration config) Configure the classifier.
void	ClassDistribRelNeighbor.configure(Configuration config) Configure this classifier object.

Uses of Configuration in netkit.inference

Methods in netkit.inference that return Configuration

Configuration	RelaxationLabeling.getDefaultConfiguration()
Configuration	NullInference.getDefaultConfiguration()
Configuration	IterativeClassification.getDefaultConfiguration()
Configuration	InferenceMethod.getDefaultConfiguration()
Configuration	GibbsSampling.getDefaultConfiguration()

Methods in netkit.inference with parameters of type Configuration

void	RelaxationLabeling.configure(Configuration config)
void	InferenceMethod.configure(Configuration config)
void	GibbsSampling.configure(Configuration config)

Uses of Configuration in netkit.util

Methods in netkit.util that return Configuration

Configuration	Factory.getConfig(java.lang.String stem)
static Configuration	Configuration.getConfiguration(java.util.ResourceBundle bundle, java.lang.String name)
Configuration	Configurable.getDefaultConfiguration()
Configuration	Configuration.getParent()
Configuration	Configuration.getRoot()

Methods in netkit.util with parameters of type Configuration

void	Configurable.configure(Configuration config)
T	Factory.get(java.lang.String name, Configuration defaultConf)
void	Configuration.setParent(Configuration defaultConfiguration)

Constructors in netkit.util with parameters of type Configuration

Configuration(Configuration defaults)

Configuration(Configuration defaults, java.io.InputStream in)