Uses of Class
org.aksw.limes.core.exceptions.UnsupportedMLImplementationException

Packages that use UnsupportedMLImplementationException

Package	Description
org.aksw.limes.core.controller
org.aksw.limes.core.ml.algorithm
org.aksw.limes.core.ml.algorithm.dragon
org.aksw.limes.core.ml.algorithm.euclid

Uses of UnsupportedMLImplementationException in org.aksw.limes.core.controller

Methods in org.aksw.limes.core.controller that throw UnsupportedMLImplementationException

Modifier and Type	Method	Description
static AMapping	MLPipeline.execute(ACache source, ACache target, Configuration configuration, String mlAlgorithmName, MLImplementationType mlImplementationType, List<LearningParameter> learningParameters, String trainingDataFile, EvaluatorType pfmType, int maxIt, ActiveLearningOracle oracle)

Uses of UnsupportedMLImplementationException in org.aksw.limes.core.ml.algorithm

Methods in org.aksw.limes.core.ml.algorithm that throw UnsupportedMLImplementationException

Modifier and Type	Method	Description
protected MLResults	ACIDS.activeLearn()
protected abstract MLResults	ACoreMLAlgorithm.activeLearn()	Learning method for supervised active core ML algorithm implementations Normally, it is used as a first step to initialize the ML model before going through the active learning process
protected abstract MLResults	ACoreMLAlgorithm.activeLearn(AMapping oracleMapping)	Learning method for supervised active core ML algorithm implementations.
MLResults	ActiveMLAlgorithm.activeLearn()
MLResults	ActiveMLAlgorithm.activeLearn(AMapping oracleMapping)
protected MLResults	Eagle.activeLearn()
protected MLResults	Eagle.activeLearn(AMapping oracleMapping)
protected MLResults	WombatComplete.activeLearn()
protected MLResults	WombatComplete.activeLearn(AMapping oracleMapping)
static AMLAlgorithm	MLAlgorithmFactory.createMLAlgorithm(Class<? extends ACoreMLAlgorithm> clazz, MLImplementationType mlType)
protected abstract AMapping	ACoreMLAlgorithm.getNextExamples(int size)	Get a set of examples to be added to the mapping.
AMapping	ActiveMLAlgorithm.getNextExamples(int size)
protected AMapping	Eagle.getNextExamples(int size)
protected AMapping	WombatComplete.getNextExamples(int size)
protected AMapping	WombatSimple.getNextExamples(int size)
protected MLResults	ACIDS.learn(PseudoFMeasure pfm)
protected abstract MLResults	ACoreMLAlgorithm.learn(PseudoFMeasure pfm)	Learning method for unsupervised core ML algorithm implementations.
protected abstract MLResults	ACoreMLAlgorithm.learn(AMapping trainingData)	Learning method for supervised core ML algorithm implementations, where the confidence values for each pair in the trainingData determine its truth degree.
MLResults	SupervisedMLAlgorithm.learn(AMapping trainingData)
MLResults	UnsupervisedMLAlgorithm.learn(PseudoFMeasure pfm)

Constructors in org.aksw.limes.core.ml.algorithm that throw UnsupportedMLImplementationException

Constructor	Description
ActiveMLAlgorithm(Class<? extends ACoreMLAlgorithm> clazz)
SupervisedMLAlgorithm(Class<? extends ACoreMLAlgorithm> clazz)
UnsupervisedMLAlgorithm(Class<? extends ACoreMLAlgorithm> clazz)

Uses of UnsupportedMLImplementationException in org.aksw.limes.core.ml.algorithm.dragon

Methods in org.aksw.limes.core.ml.algorithm.dragon that throw UnsupportedMLImplementationException

Modifier and Type	Method	Description
protected MLResults	Dragon.activeLearn()	generates an initial training set and calls Dragon.activeLearn(AMapping)
protected MLResults	Dragon.activeLearn(AMapping oracleMapping)	Creates a training set out of the oracleMapping and uses J48 to build a decision tree The decision tree gets parsed to a LinkSpecification
protected AMapping	Dragon.getNextExamples(int size)
protected MLResults	Dragon.learn(PseudoFMeasure pfm)
protected MLResults	Dragon.learn(AMapping trainingData)

Uses of UnsupportedMLImplementationException in org.aksw.limes.core.ml.algorithm.euclid

Methods in org.aksw.limes.core.ml.algorithm.euclid that throw UnsupportedMLImplementationException

Modifier and Type	Method	Description
protected MLResults	LinearEuclid.activeLearn()
protected MLResults	LinearEuclid.activeLearn(AMapping oracleMapping)
protected AMapping	LinearEuclid.getNextExamples(int size)
protected MLResults	BooleanEuclid.learn(PseudoFMeasure pfm)
protected MLResults	LinearEuclid.learn(PseudoFMeasure pfm)
protected MLResults	LinearEuclid.learn(AMapping trainingData)
protected MLResults	MeshEuclid.learn(PseudoFMeasure pfm)