Uses of Interface
weka.classifiers.meta.multisearch.MultiSearchCapable

Packages that use MultiSearchCapable

Package	Description
weka.classifiers.meta
weka.classifiers.meta.multisearch

Uses of MultiSearchCapable in weka.classifiers.meta

Classes in weka.classifiers.meta that implement MultiSearchCapable

Modifier and Type

Class and Description

class

MultiSearch Performs a search of an arbitrary number of parameters of a classifier and chooses the best pair found for the actual filtering and training. The default MultiSearch is using the following Classifier setup: LinearRegression, searching for the "Ridge" The properties being explored are totally up to the user. E.g., if you have a FilteredClassifier selected as base classifier, sporting a PLSFilter and you want to explore the number of PLS components, then your property will be made up of the following components: - filter: referring to the FilteredClassifier's property (= PLSFilter) - numComponents: the actual property of the PLSFilter that we want to modify And assembled, the property looks like this: filter.numComponents The best classifier setup can be accessed after the buildClassifier call via the getBestClassifier method. The trace of setups evaluated can be accessed after the buildClassifier call as well, using the following methods: - getTrace() - getTraceSize() - getTraceValue(int) - getTraceFolds(int) - getTraceClassifierAsCli(int) - getTraceParameterSettings(int) Using the weka.core.setupgenerator.ParameterGroup parameter, it is possible to group dependent parameters.

Uses of MultiSearchCapable in weka.classifiers.meta.multisearch

Methods in weka.classifiers.meta.multisearch that return MultiSearchCapable

Modifier and Type	Method and Description
MultiSearchCapable	AbstractSearch.retrieveOwner() Returns the current owner.

Methods in weka.classifiers.meta.multisearch with parameters of type MultiSearchCapable

Modifier and Type	Method and Description
abstract T	AbstractEvaluationFactory.newTask(MultiSearchCapable owner, weka.core.Instances train, weka.core.Instances test, SetupGenerator generator, Point<Object> values, int folds, int eval, int classLabel) Returns a new task.
DefaultEvaluationTask	DefaultEvaluationFactory.newTask(MultiSearchCapable owner, weka.core.Instances train, weka.core.Instances test, SetupGenerator generator, Point<Object> values, int folds, int eval, int classLabel) Returns a new task.
void	AbstractSearch.setOwner(MultiSearchCapable value) Sets the owning classifier.

Constructors in weka.classifiers.meta.multisearch with parameters of type MultiSearchCapable

Constructor and Description
AbstractEvaluationTask(MultiSearchCapable owner, weka.core.Instances train, weka.core.Instances test, SetupGenerator generator, Point<Object> values, int folds, int eval, int classLabel) Initializes the task.
DefaultEvaluationTask(MultiSearchCapable owner, weka.core.Instances train, weka.core.Instances test, SetupGenerator generator, Point<Object> values, int folds, int eval, int classLabel) Initializes the task.