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GreedyStepwise.numExecutionSlotsTipText
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How to use
numExecutionSlotsTipText
method
in
weka.attributeSelection.GreedyStepwise

Best Java code snippets using weka.attributeSelection.GreedyStepwise.numExecutionSlotsTipText (Showing top 2 results out of 315)

origin: nz.ac.waikato.cms.weka/weka-stable

/**
 * Returns an enumeration describing the available options.
 * 
 * @return an enumeration of all the available options.
 **/
@Override
public Enumeration<Option> listOptions() {
 Vector<Option> newVector = new Vector<Option>(8);
 newVector.addElement(new Option("\tUse conservative forward search", "-C",
  0, "-C"));
 newVector.addElement(new Option("\tUse a backward search instead of a"
  + "\n\tforward one.", "-B", 0, "-B"));
 newVector.addElement(new Option("\tSpecify a starting set of attributes."
  + "\n\tEg. 1,3,5-7.", "P", 1, "-P <start set>"));
 newVector.addElement(new Option("\tProduce a ranked list of attributes.",
  "R", 0, "-R"));
 newVector.addElement(new Option("\tSpecify a theshold by which attributes"
  + "\n\tmay be discarded from the ranking."
  + "\n\tUse in conjuction with -R", "T", 1, "-T <threshold>"));
 newVector.addElement(new Option("\tSpecify number of attributes to select",
  "N", 1, "-N <num to select>"));
 newVector.addElement(new Option("\t" + numExecutionSlotsTipText()
  + " (default 1)\n", "-num-slots", 1, "-num-slots <int>"));
 newVector.addElement(new Option("\tPrint debugging output", "D", 0, "-D"));
 return newVector.elements();
}
origin: Waikato/weka-trunk

/**
 * Returns an enumeration describing the available options.
 * 
 * @return an enumeration of all the available options.
 **/
@Override
public Enumeration<Option> listOptions() {
 Vector<Option> newVector = new Vector<Option>(8);
 newVector.addElement(new Option("\tUse conservative forward search", "-C",
  0, "-C"));
 newVector.addElement(new Option("\tUse a backward search instead of a"
  + "\n\tforward one.", "-B", 0, "-B"));
 newVector.addElement(new Option("\tSpecify a starting set of attributes."
  + "\n\tEg. 1,3,5-7.", "P", 1, "-P <start set>"));
 newVector.addElement(new Option("\tProduce a ranked list of attributes.",
  "R", 0, "-R"));
 newVector.addElement(new Option("\tSpecify a theshold by which attributes"
  + "\n\tmay be discarded from the ranking."
  + "\n\tUse in conjuction with -R", "T", 1, "-T <threshold>"));
 newVector.addElement(new Option("\tSpecify number of attributes to select",
  "N", 1, "-N <num to select>"));
 newVector.addElement(new Option("\t" + numExecutionSlotsTipText()
  + " (default 1)\n", "-num-slots", 1, "-num-slots <int>"));
 newVector.addElement(new Option("\tPrint debugging output", "D", 0, "-D"));
 return newVector.elements();
}
weka.attributeSelectionGreedyStepwisenumExecutionSlotsTipText

Popular methods of GreedyStepwise

  • <init>
    Constructor
  • 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
  • getNumToSelect,
  • getSearchBackwards,
  • getStartSet,
  • getThreshold,
  • resetOptions,
  • setConservativeForwardSelection,
  • setDebuggingOutput,
  • setNumExecutionSlots,
  • setNumToSelect

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