Uses of Class
weka.attributeSelection.ASSearch

Packages that use ASSearch
weka.attributeSelection   
weka.classifiers.meta   
weka.classifiers.rules   
weka.filters.supervised.attribute   
 

Uses of ASSearch in weka.attributeSelection
 

Subclasses of ASSearch in weka.attributeSelection
 class BestFirst
          BestFirst:

Searches the space of attribute subsets by greedy hillclimbing augmented with a backtracking facility.
 class ExhaustiveSearch
          ExhaustiveSearch :

Performs an exhaustive search through the space of attribute subsets starting from the empty set of attrubutes.
 class GeneticSearch
          GeneticSearch:

Performs a search using the simple genetic algorithm described in Goldberg (1989).

For more information see:

David E.
 class GreedyStepwise
          GreedyStepwise :

Performs a greedy forward or backward search through the space of attribute subsets.
 class LinearForwardSelection
          LinearForwardSelection:

Extension of BestFirst.
 class RaceSearch
          Races the cross validation error of competing attribute subsets.
 class RandomSearch
          RandomSearch :

Performs a Random search in the space of attribute subsets.
 class Ranker
          Ranker :

Ranks attributes by their individual evaluations.
 class RankSearch
          RankSearch :

Uses an attribute/subset evaluator to rank all attributes.
 class ScatterSearchV1
          Class for performing the Sequential Scatter Search.
 class SubsetSizeForwardSelection
          SubsetSizeForwardSelection:

Extension of LinearForwardSelection.
 

Methods in weka.attributeSelection that return ASSearch
static ASSearch ASSearch.forName(String searchName, String[] options)
          Creates a new instance of a search class given it's class name and (optional) arguments to pass to it's setOptions method.
 ASSearch CheckAttributeSelection.getSearch()
          Get the current search method
static ASSearch[] ASSearch.makeCopies(ASSearch model, int num)
          Creates copies of the current search scheme.
 

Methods in weka.attributeSelection with parameters of type ASSearch
static ASSearch[] ASSearch.makeCopies(ASSearch model, int num)
          Creates copies of the current search scheme.
 void AttributeSelection.setSearch(ASSearch search)
          set the search method
 void CheckAttributeSelection.setSearch(ASSearch value)
          Set the search method to test.
 

Uses of ASSearch in weka.classifiers.meta
 

Methods in weka.classifiers.meta that return ASSearch
 ASSearch AttributeSelectedClassifier.getSearch()
          Gets the search method used
 

Methods in weka.classifiers.meta with parameters of type ASSearch
 void AttributeSelectedClassifier.setSearch(ASSearch search)
          Sets the search method
 

Uses of ASSearch in weka.classifiers.rules
 

Methods in weka.classifiers.rules that return ASSearch
 ASSearch DTNB.getSearch()
          Gets the current search method
 ASSearch DecisionTable.getSearch()
          Gets the current search method
 

Methods in weka.classifiers.rules with parameters of type ASSearch
 void DTNB.setSearch(ASSearch search)
          Sets the search method to use
 void DecisionTable.setSearch(ASSearch search)
          Sets the search method to use
 

Uses of ASSearch in weka.filters.supervised.attribute
 

Methods in weka.filters.supervised.attribute that return ASSearch
 ASSearch AttributeSelection.getSearch()
          Get the name of the search method
 

Methods in weka.filters.supervised.attribute with parameters of type ASSearch
 void AttributeSelection.setSearch(ASSearch search)
          Set search class
 



Copyright © 2012 University of Waikato, Hamilton, NZ. All Rights Reserved.