Uses of Class
weka.attributeSelection.ASSearch
Package
Description
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Uses of ASSearch in weka.attributeSelection
Modifier and TypeClassDescriptionclass
BestFirst:
Searches the space of attribute subsets by greedy hillclimbing augmented with a backtracking facility.class
GreedyStepwise :
Performs a greedy forward or backward search through the space of attribute subsets.class
Ranker :
Ranks attributes by their individual evaluations.Modifier and TypeMethodDescriptionstatic ASSearch
Creates a new instance of a search class given it's class name and (optional) arguments to pass to it's setOptions method.CheckAttributeSelection.getSearch()
Get the current search methodstatic ASSearch[]
ASSearch.makeCopies
(ASSearch model, int num) Creates copies of the current search scheme.Modifier and TypeMethodDescriptionstatic ASSearch[]
ASSearch.makeCopies
(ASSearch model, int num) Creates copies of the current search scheme.void
set the search methodvoid
Set the search method to test.void
AttributeSelection.updateStatsForModelCVSplit
(Instances split, ASEvaluation evaluator, ASSearch search, int[] attributeSet, boolean doRank) Update the attribute selection stats for a cross-validation fold of the data. -
Uses of ASSearch in weka.classifiers.meta
Modifier and TypeMethodDescriptionAttributeSelectedClassifier.getSearch()
Gets the search method used -
Uses of ASSearch in weka.classifiers.rules
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Uses of ASSearch in weka.filters.supervised.attribute
Modifier and TypeMethodDescriptionAttributeSelection.getSearch()
Get the name of the search method -
Uses of ASSearch in weka.knowledgeflow.steps
Modifier and TypeMethodDescriptionASSearchStrategy.getSearchStrategy()
Get the search strategy wrapped by this stepModifier and TypeMethodDescriptionvoid
ASSearchStrategy.setSearchStrategy
(ASSearch searchStrategy) Set the search strategy wrapped by this step (calls setWrappedAlgorithm)