Uses of Class
org.aksw.limes.core.ml.algorithm.MLResults

Packages that use MLResults

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

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

Methods in org.aksw.limes.core.ml.algorithm that return MLResults

Modifier and Type	Method	Description
protected MLResults	ACIDS.activeLearn()
protected MLResults	ACIDS.activeLearn(AMapping oracleMapping)
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)
protected MLResults	WombatSimple.activeLearn()
protected MLResults	WombatSimple.activeLearn(AMapping oracleMapping)
protected MLResults	ACIDS.learn(PseudoFMeasure pfm)
protected MLResults	ACIDS.learn(AMapping trainingData)
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.
protected MLResults	Eagle.learn(PseudoFMeasure pfm)
protected MLResults	Eagle.learn(AMapping trainingData)
MLResults	SupervisedMLAlgorithm.learn(AMapping trainingData)
MLResults	UnsupervisedMLAlgorithm.learn(PseudoFMeasure pfm)
protected MLResults	WombatComplete.learn(PseudoFMeasure pfm)
protected MLResults	WombatComplete.learn(AMapping trainingData)
protected MLResults	WombatSimple.learn(PseudoFMeasure pfm)
protected MLResults	WombatSimple.learn(AMapping trainingData)

Methods in org.aksw.limes.core.ml.algorithm with parameters of type MLResults

Modifier and Type	Method	Description
protected AMapping	ACIDS.predict(ACache source, ACache target, MLResults mlModel)
protected abstract AMapping	ACoreMLAlgorithm.predict(ACache source, ACache target, MLResults mlModel)	Predict/generate links from source to target based on mlModel.
AMapping	AMLAlgorithm.predict(ACache source, ACache target, MLResults mlModel)	Predict new links.
protected AMapping	Eagle.predict(ACache source, ACache target, MLResults mlModel)

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

Methods in org.aksw.limes.core.ml.algorithm.dragon that return MLResults

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
MLResults	Dragon.getMlresult()
protected MLResults	Dragon.learn(PseudoFMeasure pfm)
protected MLResults	Dragon.learn(AMapping trainingData)

Methods in org.aksw.limes.core.ml.algorithm.dragon with parameters of type MLResults

Modifier and Type	Method	Description
AMapping	Dragon.predict(ACache source, ACache target, MLResults mlModel)

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

Methods in org.aksw.limes.core.ml.algorithm.euclid that return MLResults

Modifier and Type	Method	Description
protected MLResults	LinearEuclid.activeLearn()
protected MLResults	LinearEuclid.activeLearn(AMapping oracleMapping)
protected MLResults	BooleanEuclid.learn(PseudoFMeasure pfm)
protected MLResults	LinearEuclid.learn()	Common learning method for both supervised and unsupervised Euclids.
protected MLResults	LinearEuclid.learn(PseudoFMeasure pfm)
protected MLResults	LinearEuclid.learn(AMapping trainingData)
protected MLResults	MeshEuclid.learn(PseudoFMeasure pfm)

Methods in org.aksw.limes.core.ml.algorithm.euclid with parameters of type MLResults

Modifier and Type	Method	Description
protected AMapping	BooleanEuclid.predict(ACache source, ACache target, MLResults mlModel)
protected AMapping	LinearEuclid.predict(ACache source, ACache target, MLResults mlModel)
protected AMapping	MeshEuclid.predict(ACache source, ACache target, MLResults mlModel)

Uses of MLResults in org.aksw.limes.core.ml.algorithm.wombat

Methods in org.aksw.limes.core.ml.algorithm.wombat with parameters of type MLResults

Modifier and Type	Method	Description
protected AMapping	AWombat.predict(ACache source, ACache target, MLResults mlModel)