Uses of Class
gov.sandia.cognition.learning.algorithm.svm.SuccessiveOverrelaxation.Entry

Packages that use SuccessiveOverrelaxation.Entry

Package	Description
gov.sandia.cognition.learning.algorithm.svm	Provides implementations of Support Vector Machine (SVM) learning algorithms.

Uses of SuccessiveOverrelaxation.Entry in gov.sandia.cognition.learning.algorithm.svm

Fields in gov.sandia.cognition.learning.algorithm.svm with type parameters of type SuccessiveOverrelaxation.Entry

Modifier and Type	Field and Description
protected java.util.ArrayList<SuccessiveOverrelaxation.Entry>	SuccessiveOverrelaxation.entries The entry information that the algorithm keeps.
protected java.util.LinkedHashMap<InputOutputPair<? extends InputType,? extends java.lang.Boolean>,SuccessiveOverrelaxation.Entry>	SuccessiveOverrelaxation.supportsMap The mapping of weight objects to non-zero weighted examples (support vectors).

Methods in gov.sandia.cognition.learning.algorithm.svm that return types with arguments of type SuccessiveOverrelaxation.Entry

Modifier and Type	Method and Description
protected java.util.ArrayList<SuccessiveOverrelaxation.Entry>	SuccessiveOverrelaxation.getEntries() Gets the data that the algorithm keeps for each training instance.
protected java.util.LinkedHashMap<InputOutputPair<? extends InputType,? extends java.lang.Boolean>,SuccessiveOverrelaxation.Entry>	SuccessiveOverrelaxation.getSupportsMap() Gets the mapping of examples to weight objects (support vectors).

Methods in gov.sandia.cognition.learning.algorithm.svm with parameters of type SuccessiveOverrelaxation.Entry

Modifier and Type	Method and Description
int	SuccessiveOverrelaxation.Entry.compareTo(SuccessiveOverrelaxation.Entry other) Compares this entry to another one by comparing the weights.
protected void	SuccessiveOverrelaxation.update(SuccessiveOverrelaxation.Entry entry) Performs an update step on the given entry using the successive overrelaxation procedure.

Method parameters in gov.sandia.cognition.learning.algorithm.svm with type arguments of type SuccessiveOverrelaxation.Entry

Modifier and Type	Method and Description
protected void	SuccessiveOverrelaxation.setEntries(java.util.ArrayList<SuccessiveOverrelaxation.Entry> entries) Gets the data that the algorithm keeps for each training instance.
protected void	SuccessiveOverrelaxation.setSupportsMap(java.util.LinkedHashMap<InputOutputPair<? extends InputType,? extends java.lang.Boolean>,SuccessiveOverrelaxation.Entry> supportsMap) Gets the mapping of examples to weight objects (support vectors).