source: src/main/java/agents/anac/y2013/MetaAgent/parser/cart/tree/MeanNode.java

package agents.anac.y2013.MetaAgent.parser.cart.tree;

import java.util.Vector;

public class MeanNode extends Node {
                public double _mean;
                public double _MSE;
                private MeanNode(int id, int observations, int leftId, int rightId,
                                int leftobs, int rightObs, double complexityParam, double mean,
                                double MSE, Vector<PrimarySplit> primary_splits,
                                Vector<SurrogateSplit> Surrogate_splits) {
                        super(id, observations, leftId, rightId, leftobs, rightObs, complexityParam,primary_splits,Surrogate_splits);
                        this._mean=mean;
                        this._MSE=MSE;
                }               
                
                public static MeanNode factory(String text){
                        String [] texts=text.trim().split(" ");
                        
                        int id=Integer.parseInt(texts[0].substring(0,texts[0].indexOf(":")));
                        int observations=Integer.parseInt(texts[1]);;
                        double complex=-1;
                        if(text.contains("complexity"))
                                complex=Double.parseDouble(substring(text,"complexity param="," "));    
                        double mean=Double.parseDouble(substring(text,"mean=",","));
                        String m=substring(text,"MSE=","\n");
                        double mse=Double.parseDouble(m);
                        int leftid=-1;
                        if(text.contains("left son"))
                                leftid=Integer.parseInt(substring(text,"left son="," "));
                        
                        
                        int rightId=-1;
                        if(text.contains("right son"))
                                rightId=Integer.parseInt(substring(text,"right son="," "));
                                
                        int leftObs=-1;
                        if(text.contains("left"))
                                leftObs=parseObs(text,"left");
                        int rightObs=-1;
                        if(text.contains("right"))
                                rightObs=parseObs(text,"right");
                        
                        if(text.contains("Surrogate")){
                                String []prims=substring(text,"Primary splits:\n","Surrogate splits:\n").trim().split("\n");
                                Vector<PrimarySplit> primary_splits=parsePrimarySplits(prims);
                                String []Surrogate=substring(text,"Surrogate splits:\n",text.length()).trim().split("\n");
                                Vector<SurrogateSplit> Surrogate_splits=parseSurrogateSplits(Surrogate);
                                MeanNode node=new MeanNode(id, observations, leftid, rightId, leftObs, rightObs, complex, mean, mse, primary_splits,Surrogate_splits);
                                return node;
                        }
                        else if(text.contains("Primary")){
                                String []prims=substring(text,"Primary splits:\n",text.length()).trim().split("\n");
                                Vector<PrimarySplit> primary_splits=parsePrimarySplits(prims);
                                MeanNode node=new MeanNode(id, observations, leftid, rightId, leftObs, rightObs, complex, mean, mse, primary_splits,null);
                                return node;
                        }
                        return new MeanNode(id, observations, leftid, rightId, leftObs, rightObs, complex, mean, mse, null,null);
                }

                @Override
                public double get_mean() {
                        return this._mean;
                }

                @Override
                public double get_estimated_rate() {
                        // TODO Auto-generated method stub
                        return -1;
                }
                
                
        }