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📄 classifier.h

📁 - XCS for Dynamic Environments + Continuous versions of XCS + Test problem: real multiplexer +
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/*	XCSR_DE1.0
*	--------------------------------------------------------
*	Learning classifier system based on accuracy in dynamic environments
*
*	by  Huong Hai (Helen) Dam
*	z3140959@itee.adfa.edu.au
*	UNSW @ ADFA, Canberra Australia
*	Artificial Life and Adaptive Robotics Laboratory
*	http://www.itee.adfa.edu.au/~alar
*
*	Last modified: 24-11-2005
*
*/
#ifndef CLASSIFIER_H
#define CLASSIFIER_H

#include "declare.h"
#include "random.h"
#include <fstream.h>
#include <string.h>
class Classifier {
	
	
public:
	Classifier(int type);
	~Classifier();
	double getFitness() {return m_fitness; }
	void resetParam();
	double getPrediction(){return m_prediction;}
	void setPrediction(double prediction){m_prediction = prediction;}
	double getPredictionError(){return m_prediction_error;}
	void setPredictionError(double prediction_error){m_prediction_error = prediction_error;}
	double getAccuracy(){return m_accuracy;}
	void setAccuracy(double accuracy){ m_accuracy = accuracy;}
	int getNum(){return m_num;}
	void setNum(int num){m_num = num;}
	void increaseNum(){m_num++;}
	void decreaseNum(){m_num--;}
	double getAS(){return m_as;}
	void setAS(double as){m_as = as;}
	int getExp(){return m_exp;}
	void setExp(int exp){m_exp = exp;}
	void increaseExp(){m_exp = m_exp + 1;}
	int getRepresentationType(){return rep_type;}
	int getTimeStamp(){return m_timestamp;}
	void setTimeStamp(int timestamp){m_timestamp = timestamp;}
	//void setFitness(double fitness){m_fitness = fitness;}
	void updateFitness(double fitness){ m_fitness = fitness;}
	int getAction() { return m_interval->action;}
	//void setAction(Action *action){m_action = action;}
	d_interval_t* getInterval(){ return m_interval;}
	void classifiercpy(Classifier *c);
	void savePopulation(ofstream &of);
	int matchInput(input_t *input);
	int matchClassifier(Classifier *c);
	double getIntervalMin(int i);
	double getIntervalMax(int i);
	void validateClassifier();
	int belongTo(); //Return to the correct rule, which the classifier is belong to in MP
	int getSchemaOrder();
	int getSchemaLength();
	int getSchema(){return schema;}
	void setSchema(int s){schema = s;}
	void print();
#ifdef MP
	int isASchema(double threshold, int id);
	int belongToSchema(double threshold, int id);
#endif 

private:
	int rep_type;
	d_interval_t *m_interval;
	double m_fitness;
	double m_prediction;
	double m_prediction_error;
	double m_accuracy;
	int m_num;
	int m_exp;
	int m_timestamp; //time stamp of GA occurs
	double m_as; //action size
	int schema;
};
#endif

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