question: @ Override public Enumeration < Option > listOptions ( ) { Vector < Option > newVector = new Vector < Option > ( ) ; newVector . add ( new Option ( "\tThe leaf prediction strategy to use. 0 = " + "majority class, 1 = naive Bayes, 2 = naive Bayes adaptive.\n\t" + "(default = 2)" , "L" , 1 , "-L" ) ) ; newVector . add ( new Option ( "\tThe splitting criterion to use. 0 = " + "Gini, 1 = Info gain\n\t" + "(default = 1)" , "S" , 1 , "-S" ) ) ; newVector . add ( new Option ( "\tThe allowable error in a split decision " + "- values closer to zero will take longer to decide\n\t" + "(default = 1e-7)" , "E" , 1 , "-E" ) ) ; newVector . add ( new Option ( "\tThreshold below which a split will be forced to " + "break ties\n\t(default = 0.05)" , "H" , 1 , "-H" ) ) ; newVector . add ( new Option ( "\tMinimum fraction of weight required down at least two " + "branches for info gain splitting\n\t(default = 0.01)" , "M" , 1 , "-M" ) ) ; newVector . add ( new Option ( "\tGrace period - the number of instances " + "a leaf should observe between split attempts\n\t" + "(default = 200)" , "G" , 1 , "-G" ) ) ; newVector . add ( new Option ( "\tThe number of instances (weight) a leaf " + "should observe before allowing naive Bayes to make " + "predictions (NB or NB adaptive only)\n\t(default = 0)" , "N" , 1 , "-N" ) ) ; newVector . add ( new Option ( "\tPrint leaf models when using naive Bayes " + "at the leaves." , "P" , 0 , "-P" ) ) ; return newVector . elements ( ) ; }
target:  Returns an enumeration describing the available options.