00001 /*************************************************************************** 00002 * Copyright (C) 2005 by Robot Group Leipzig * 00003 * martius@informatik.uni-leipzig.de * 00004 * fhesse@informatik.uni-leipzig.de * 00005 * der@informatik.uni-leipzig.de * 00006 * frankguettler@gmx.de * 00007 * * 00008 * This program is free software; you can redistribute it and/or modify * 00009 * it under the terms of the GNU General Public License as published by * 00010 * the Free Software Foundation; either version 2 of the License, or * 00011 * (at your option) any later version. * 00012 * * 00013 * This program is distributed in the hope that it will be useful, * 00014 * but WITHOUT ANY WARRANTY; without even the implied warranty of * 00015 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * 00016 * GNU General Public License for more details. * 00017 * * 00018 * You should have received a copy of the GNU General Public License * 00019 * along with this program; if not, write to the * 00020 * Free Software Foundation, Inc., * 00021 * 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. * 00022 *************************************************************************** 00023 * * 00024 * DESCRIPTION * 00025 * * 00026 * $Log: abstractmeasure.h,v $ 00027 * Revision 1.3 2008/04/29 08:51:54 guettler 00028 * -cosmetic changes of StatisticTools 00029 * -StatisticTools now uses new function addInspectableValue of the 00030 * interface Inspectable, not overloading getInternalParams and 00031 * getInternalParamNames anymore 00032 * 00033 * Revision 1.2 2008/01/14 09:09:23 der 00034 * added stepSize. An abstractmeasure can now be calculated every stepSize 00035 * steps. 00036 * 00037 * Revision 1.1 2007/12/06 10:18:10 der 00038 * AbstractMeasure is now a abstract type for Measures, 00039 * StatisticTools now supports AbstractMeasures, 00040 * StatisticalMeasure, ComplexMeasure now derived from 00041 * AbstractMeasure, 00042 * ComplexMeasure provides support for calculation e.g. entropy, 00043 * uses Discretisizer, 00044 * Discretisizer is a stand-alone class for support of discretisizing values 00045 * TrackableMeasure derived from ComplexMeasure and provides support for calculating complex measures for Trackable objects 00046 * 00047 * Revision 1.3 2007/09/28 08:48:21 robot3 00048 * corrected some minor bugs, files are still in develop status 00049 * 00050 * Revision 1.2 2007/09/27 10:49:39 robot3 00051 * removed some minor bugs, 00052 * added CONVergence test 00053 * changed little things for support of the new WSM 00054 * 00055 * Revision 1.1 2007/05/07 21:01:31 robot3 00056 * statistictools is a class for easy visualization of measurements of observed values 00057 * it is possible to add the observed value itself with mode ID 00058 * 00059 * * 00060 ***************************************************************************/ 00061 #ifndef _ABSTRACT_MEASURE_H 00062 #define _ABSTRACT_MEASURE_H 00063 00064 #import <iostream> 00065 class AbstractMeasure 00066 { 00067 00068 public: 00069 AbstractMeasure(const char* measureName) : name(measureName), value(0.0), actualStep(0), stepSize(1) {} 00070 00071 virtual ~AbstractMeasure() {} 00072 00073 virtual void step()=0; 00074 00075 virtual std::string getName() const { return name; } 00076 00077 virtual double getValue() const { return value; } 00078 00079 virtual double& getValueAddress() { return value; } 00080 00081 virtual void setStepSize(int newStepSize) { stepSize=newStepSize; } 00082 00083 virtual int getStepSize() const { return stepSize; } 00084 00085 virtual long getActualStep() const { return actualStep; } 00086 00087 00088 protected: 00089 std::string name; 00090 double value; // this is the value which is determined, e.g. in AVG MeasureMode, it's the average! 00091 00092 long actualStep; // actual step 00093 int stepSize; 00094 }; 00095 00096 #endif