Standardizer.h

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/*
 * Copyright (C) 2007-2011 RobotCub Consortium, European Commission FP6 Project IST-004370
 * author:  Arjan Gijsberts
 * email:   arjan.gijsberts@iit.it
 * website: www.robotcub.org
 * Permission is granted to copy, distribute, and/or modify this program
 * under the terms of the GNU General Public License, version 2 or any
 * later version published by the Free Software Foundation.
 *
 * A copy of the license can be found at
 * http://www.robotcub.org/icub/license/gpl.txt
 *
 * This program is distributed in the hope that it will be useful, but
 * WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
 * Public License for more details
 */
 
#ifndef LM_STANDARDIZER__
#define LM_STANDARDIZER__
 
#include "iCub/learningMachine/IScaler.h"
 
namespace iCub {
namespace learningmachine {
 
 
class Standardizer : public IScaler {
protected:
    int noSamples;
 
    double mean;
 
    double std;
 
    double runningMean;
 
    double runningStd;
 
    double squaredErrors;
 
    /*
     * Inherited from IScaler
     */
    virtual void writeBottle(yarp::os::Bottle& bot);
 
    /*
     * Inherited from IScaler
     */
    virtual void readBottle(yarp::os::Bottle& bot);
 
public:
    Standardizer(double m = 0., double s = 1.);
 
    /*
     * Inherited from IScaler
     */
    virtual void update(double val);
 
    /*
     * Inherited from IScaler
     */
    virtual std::string getInfo();
 
    /*
     * Inherited from IScaler
     */
    virtual bool configure(yarp::os::Searchable& config);
 
    /*
     * Inherited from IScaler
     */
    Standardizer* clone() {
        return new Standardizer(*this);
    }
 
    virtual double getDesiredMean() { return this->mean; }
 
    virtual void setDesiredMean(double m) { this->mean = m; }
 
    virtual double getDesiredStd() { return this->std; }
 
    virtual void setDesiredStd(double s) { this->std = s; }
};
 
 
} // learningmachine
} // iCub
 
#endif