Public

<init>

Searches the attribute subset space by forward selection.

search

Records whether the user has requested a ranked list of attributes.

setGenerateRanking

Set whether to search backwards instead of forwards

setSearchBackwards

converts a BitSet into a list of attribute indexes

attributeList

determineNumToSelectFromThreshold

Gets whether conservative selection has been enabled

getConservativeForwardSelection

Get whether to output debugging info to the console

getDebuggingOutput

Gets whether ranking has been requested. This is used by the AttributeSelection
module to determine 

getGenerateRanking

getNumExecutionSlots

Gets the number of attributes to be retained.

getNumToSelect

getSearchBackwards

Returns a list of attributes (and or attribute ranges) as a String

getStartSet

Returns the threshold so that the AttributeSelection module can discard
attributes from the ranking.

getThreshold

numExecutionSlotsTipText

resetOptions

Set whether attributes should continue to be added during a forward search as
long as merit does not

setConservativeForwardSelection

Set whether to output debugging info to the console

setDebuggingOutput

setNumExecutionSlots

Specify the number of attributes to select from the ranked list (if generating a
ranking). -1 indica

setNumToSelect

FileOutputStream

Reactive rest calls using spring rest template

 A Java virtual machine.

 A VirtualMachine represents a Java virtual machine to which this Java vir

com.sun.tools.attach.VirtualMachine

An "abstract" representation of a file system entity identified by a pathname.
The pathname may be a

java.io.File

A specialized Reader that reads from a file in the file system. All read
requests made by calling me

java.io.FileReader

This class provides random read access to a zip file. You pay more to read the
zip file's central di

java.util.zip.ZipFile

javax.swing.JOptionPane

org.hibernate.mapping.Join

startActivity

getResourceAsStream

addToBackStack

/**
   * converts the array of starting attributes to a string. This is used by
   * getOptions to return the actual attributes specified as the starting set.
   * This is better than using m_startRanges.getRanges() as the same start set
   * can be specified in different ways from the command line---eg 1,2,3 == 1-3.
   * This is to ensure that stuff that is stored in a database is comparable.
   * 
   * @return a comma seperated list of individual attribute numbers as a String
   */

/**
   * Gets the current settings of ReliefFAttributeEval.
   * 
   * @return an array of strings suitable for passing to setOptions()
   */

/**
   * Searches the attribute subset space by forward selection.
   * 
   * @param ASEval the attribute evaluator to guide the search
   * @param data the training instances.
   * @return an array (not necessarily ordered) of selected attribute indexes
   * @throws Exception if the search can't be completed
   */

// If a starting subset has been supplied, then initialise the bitset

// make a copy if the evaluator is not thread safe

How to use getStartSetmethodin weka.attributeSelection.GreedyStepwise

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How to use
getStartSet
method
in
weka.attributeSelection.GreedyStepwise