question: @ Override public Enumeration < Option > listOptions ( ) { Vector < Option > result = new Vector < Option > ( ) ; result . addElement ( new Option ( "\tFull class name of classifier to use, followed\n" + "\tby scheme options. eg:\n" + "\t\t\"weka.classifiers.bayes.NaiveBayes -D\"\n" + "\t(default: weka.classifiers.rules.ZeroR)" , "W" , 1 , "-W <classifier specification>" ) ) ; result . addElement ( new Option ( "\tInstead of training a classifier on the data, one can also provide\n" + "\ta serialized model and use that for tagging the data." , "serialized" , 1 , "-serialized <file>" ) ) ; result . addElement ( new Option ( "\tAdds an attribute with the actual classification.\n" + "\t(default: off)" , "classification" , 0 , "-classification" ) ) ; result . addElement ( new Option ( "\tRemoves the old class attribute.\n" + "\t(default: off)" , "remove-old-class" , 0 , "-remove-old-class" ) ) ; result . addElement ( new Option ( "\tAdds attributes with the distribution for all classes \n" + "\t(for numeric classes this will be identical to the attribute \n" + "\toutput with '-classification').\n" + "\t(default: off)" , "distribution" , 0 , "-distribution" ) ) ; result . addElement ( new Option ( "\tAdds an attribute indicating whether the classifier output \n" + "\ta wrong classification (for numeric classes this is the numeric \n" + "\tdifference).\n" + "\t(default: off)" , "error" , 0 , "-error" ) ) ; result . addAll ( Collections . list ( super . listOptions ( ) ) ) ; return result . elements ( ) ; }
target:  Returns an enumeration describing the available options.