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

Parsing JSON documents to java classes using gson

An abstraction for a native pointer data type. A Pointer instance represents, on
the Java side, a na

com.sun.jna.Pointer

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

java.io.File

This class represents a server-side socket that waits for incoming client
connections. A ServerSocke

java.net.ServerSocket

A class which can consume and produce dates in SQL Date format. Dates are
represented in SQL as yyyy

java.sql.Date

This class provides methods that return pseudo-random values.It is dangerous to
seed Random with the

java.util.Random

javax.swing.JLabel

getSharedPreferences

onRequestPermissionsResult

setContentView

/**
   * Set whether to search backwards instead of forwards
   * 
   * @param back true to search backwards
   */

/**
   * Ranks attributes using the specified attribute evaluator and then searches
   * the ranking using the supplied subset evaluator.
   * 
   * @param ASEval the subset 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 (m_ASEval instanceof AttributeTransformer) { throw new
     * Exception("Can't use an attribute transformer " +"with RankSearch"); }
     */

/*
     * if (m_ASEval instanceof UnsupervisedAttributeEvaluator || NOT USED
     * m_ASEval instanceof UnsupervisedSubsetEvaluator) { m_hasClass = false;
     */

/*
     * if (!(m_SubsetEval instanceof UnsupervisedSubsetEvaluator)) { throw new
     * Exception("Must use an unsupervised subset evaluator."); }
     */

/*
     * } NOT USED else { m_hasClass = true; m_classIndex =
     * m_Instances.classIndex(); }
     */

// get the transformed data a rebuild the subset evaluator

/**
   * Parses a given list of options.
   * <p/>
   * 
   *  Valid options are:
   * <p/>
   * 
   * <pre>
   * -C
   *  Use conservative forward search
   * </pre>
   * 
   * <pre>
   * -B
   *  Use a backward search instead of a
   *  forward one.
   * </pre>
   * 
   * <pre>
   * -P &lt;start set&gt;
   *  Specify a starting set of attributes.
   *  Eg. 1,3,5-7.
   * </pre>
   * 
   * <pre>
   * -R
   *  Produce a ranked list of attributes.
   * </pre>
   * 
   * <pre>
   * -T &lt;threshold&gt;
   *  Specify a theshold by which attributes
   *  may be discarded from the ranking.
   *  Use in conjuction with -R
   * </pre>
   * 
   * <pre>
   * -N &lt;num to select&gt;
   *  Specify number of attributes to select
   * </pre>
   * 
   * <pre>
   * -num-slots &lt;int&gt;
   *  The number of execution slots, for example, the number of cores in the CPU. (default 1)
   * </pre>
   * 
   * <pre>
   * -D
   *  Print debugging output
   * </pre>
   * 
   * 
   * 
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */

How to use setGenerateRankingmethodin weka.attributeSelection.GreedyStepwise

Best Java code snippets using weka.attributeSelection.GreedyStepwise.setGenerateRanking (Showing top 5 results out of 315)

How to use
setGenerateRanking
method
in
weka.attributeSelection.GreedyStepwise