FunctionApproximator.h

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/*
 *  FunctionApproximator.h
 *  games
 *
 *  Created by Adam White on Mon Apr 04 2005.
 *  Copyright (c) 2005 __MyCompanyName__. All rights reserved.
 *
 */  
 
//#include "LearningPlayer.h"
#include <ctime>
#include <vector>
#include <stdio.h>
//#include "random.h"
 
#ifndef FUNCTIONAPPROXIMATOR_H
#define FUNCTIONAPPROXIMATOR_H
 
enum tActivation {
  kLinear,
  kStep,
  kExponential
};
 
class FunctionApproximator {  
public:
        FunctionApproximator() {};
        virtual ~FunctionApproximator() {};
 
        //virtual FunctionApproximator *clone() const = 0;
        
        virtual void save(const char *) = 0;
        virtual void save(FILE *) = 0;
        virtual void load(const char *) = 0;
        virtual void load(FILE *) = 0;
        virtual void load(const FunctionApproximator *) = 0;
 
        // these fucntions are for training with the list of all features and their (arbitrary) values
        virtual double train(std::vector<double> &input, std::vector<double> &output2) = 0;
        virtual double *test(const std::vector<double> &input) = 0;
        // these functions are for training with a list of binary features that are on
        virtual double train(std::vector<unsigned int> &input, std::vector<double> &output2) = 0;
        virtual double *test(const std::vector<unsigned int> &input) = 0;
        // Given a target output (fixed internal weights), return the intput that would
        // lead to the output. (May require more than one call to converge.)
        virtual double GetInput(std::vector<double> &input, const std::vector<double> &target) = 0;
 
        virtual void setLearnRate(double);
        virtual double getLearnRate();
        
        void setOutputActivation(tActivation t)
        { outputActivation = t; }
        tActivation getOutputActivation()
        { return outputActivation; }
 
        virtual int getNumInputs() { return 0; }
        virtual double getInputWeight(int inp, int outp=0) { return 0; }
 
        virtual void Print() = 0;
protected:
                double rate;
        tActivation outputActivation;
};
 
#endif