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GreedyStepwise.<init>
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weka.attributeSelection.GreedyStepwise
constructor

Best Java code snippets using weka.attributeSelection.GreedyStepwise.<init> (Showing top 13 results out of 315)

origin: Waikato/weka-trunk

/** Creates a default BestFirst */
public ASSearch getSearch() {
 return new GreedyStepwise();
}
origin: nz.ac.waikato.cms.weka/weka-stable

/** Creates a default BestFirst */
public ASSearch getSearch() {
 return new GreedyStepwise();
}
origin: nz.ac.waikato.cms.weka/classifierBasedAttributeSelection

/** Creates a default GreedyStepwise */
public ASSearch getSearch() {
 return new GreedyStepwise();
}
origin: nz.ac.waikato.cms.weka/linearForwardSelection

/** Creates a default GreedyStepwise */
public ASSearch getSearch() {
 return new GreedyStepwise();
}
origin: Waikato/weka-trunk

/** Creates a default GreedyStepwise */
public ASSearch getSearch() {
 return new GreedyStepwise();
}
origin: nz.ac.waikato.cms.weka/weka-stable

/** Creates a default GreedyStepwise */
public ASSearch getSearch() {
 return new GreedyStepwise();
}
origin: nz.ac.waikato.cms.weka/linearForwardSelection

/** Creates a default GreedyStepwise */
public ASSearch getSearch() {
 return new GreedyStepwise();
}
origin: nz.ac.waikato.cms.weka/weka-stable

/**
 * constructor. Sets defaults for each member varaible. Default attribute
 * evaluator is CfsSubsetEval; default search method is BestFirst.
 */
public AttributeSelection() {
 setFolds(10);
 setRanking(false);
 setXval(false);
 setSeed(1);
 setEvaluator(new CfsSubsetEval());
 setSearch(new GreedyStepwise());
 m_selectionResults = new StringBuffer();
 m_selectedAttributeSet = null;
 m_attributeRanking = null;
}
origin: Waikato/weka-trunk

/**
 * constructor. Sets defaults for each member varaible. Default attribute
 * evaluator is CfsSubsetEval; default search method is BestFirst.
 */
public AttributeSelection() {
 setFolds(10);
 setRanking(false);
 setXval(false);
 setSeed(1);
 setEvaluator(new CfsSubsetEval());
 setSearch(new GreedyStepwise());
 m_selectionResults = new StringBuffer();
 m_selectedAttributeSet = null;
 m_attributeRanking = null;
}
origin: nz.ac.waikato.cms.weka/attributeSelectionSearchMethods

GreedyStepwise fs = new GreedyStepwise();
double[][] rankres;
fs.setGenerateRanking(true);
origin: Waikato/weka-trunk

if (result == JOptionPane.YES_OPTION) {
 m_AttributeSearchEditor
  .setValue(new weka.attributeSelection.GreedyStepwise());
} else {
origin: nz.ac.waikato.cms.weka/weka-stable

if (result == JOptionPane.YES_OPTION) {
 m_AttributeSearchEditor
  .setValue(new weka.attributeSelection.GreedyStepwise());
} else {
origin: olehmberg/winter

GreedyStepwise search = new GreedyStepwise();
search.setSearchBackwards(this.backwardSelection);
weka.attributeSelectionGreedyStepwise<init>

Javadoc

Constructor

Popular methods of GreedyStepwise

  • search
    Searches the attribute subset space by forward selection.
  • setGenerateRanking
    Records whether the user has requested a ranked list of attributes.
  • setSearchBackwards
    Set whether to search backwards instead of forwards
  • attributeList
    converts a BitSet into a list of attribute indexes
  • determineNumToSelectFromThreshold
  • getConservativeForwardSelection
    Gets whether conservative selection has been enabled
  • getDebuggingOutput
    Get whether to output debugging info to the console
  • getGenerateRanking
    Gets whether ranking has been requested. This is used by the AttributeSelection module to determine
  • getNumExecutionSlots
    Gets the number of threads.
  • getNumToSelect
    Gets the number of attributes to be retained.
  • getSearchBackwards
    Get whether to search backwards
  • getStartSet
    Returns a list of attributes (and or attribute ranges) as a String
  • getSearchBackwards,
  • getStartSet,
  • getThreshold,
  • numExecutionSlotsTipText,
  • resetOptions,
  • setConservativeForwardSelection,
  • setDebuggingOutput,
  • setNumExecutionSlots,
  • setNumToSelect

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