/** * Default constructor specifying DecisionStump as the classifier */ public AdditiveRegression() { this(new weka.classifiers.trees.DecisionStump()); }
/** * Default constructor specifying DecisionStump as the classifier */ public AdditiveRegression() { this(new weka.classifiers.trees.DecisionStump()); }
/** * Constructor. */ public LogitBoost() { m_Classifier = new weka.classifiers.trees.DecisionStump(); }
/** * Constructor. */ public LogitBoost() { m_Classifier = new weka.classifiers.trees.DecisionStump(); }
/** * Constructor. */ public LWL() { m_Classifier = new weka.classifiers.trees.DecisionStump(); }
/** * Constructor. */ public AdaBoostM1() { m_Classifier = new weka.classifiers.trees.DecisionStump(); }
/** * Constructor. */ public AdaBoostM1() { m_Classifier = new weka.classifiers.trees.DecisionStump(); }
/** * Constructor. */ public LWL() { m_Classifier = new weka.classifiers.trees.DecisionStump(); }
/** * Main method for testing this class. * * @param argv the options */ public static void main(String [] argv) { runClassifier(new DecisionStump(), argv); } }
/** Creates a default DecisionStump */ public Classifier getClassifier() { return new DecisionStump(); }
Classifier Mode; // a parent class if(alg.equals("DecisionStump")) { Mode = new DecisionStump(); } else if(alg.equals("NaiveBayes")) { Mode = new NaiveBayes(); }
Classifier mode if(alg.equals("DecisionStump")) { mode = new DecisionStump(); } else if(alg.equals("NaiveBayes")) { mode = new NaiveBayes(); }
/** * Main method for testing this class. * * @param argv the options */ public static void main(String [] argv) { runClassifier(new DecisionStump(), argv); } }
/** Creates a default DecisionStump */ public Classifier getClassifier() { return new DecisionStump(); }