/***********************************************************************
This file is part of KEEL-software, the Data Mining tool for regression,
classification, clustering, pattern mining and so on.
Copyright (C) 2004-2010
F. Herrera (herrera@decsai.ugr.es)
L. S�nchez (luciano@uniovi.es)
J. Alcal�-Fdez (jalcala@decsai.ugr.es)
S. Garc�a (sglopez@ujaen.es)
A. Fern�ndez (alberto.fernandez@ujaen.es)
J. Luengo (julianlm@decsai.ugr.es)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
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.
You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/
**********************************************************************/
/**
* <p>
* @author Written by Albert Orriols (La Salle University Ram�n Lull, Barcelona) 28/03/2004
* @author Modified by Xavi Sol� (La Salle University Ram�n Lull, Barcelona) 03/12/2008
* @version 1.1
* @since JDK1.2
* </p>
*/
package keel.Algorithms.Genetic_Rule_Learning.UCS;
import java.util.*;
import java.lang.*;
import java.io.*;
public class TimeControl {
/**
* <p>
* This class makes the UCS time control
* </p>
*/
/* Time control of general execution: Training, Test, Wilson, Strong Dixon and Weak Dixon reduction*/
private long t_totalTime=0, t_Train=0, t_Test=0, t_Wilson=0, t_StrongDixon=0, t_WeakDixon=0;
private long t_CVTrain=0, t_CVTest=0, t_CVTrainTest=0;
public TimeControl(){
}
/**
* <p>
* It initilizes the time averages to zero.
* </p>
*/
public void initTimeAverages(){
t_Train = 0;
t_Test = 0;
t_Wilson = 0;
t_StrongDixon = 0;
t_WeakDixon = 0;
t_totalTime = 0;
t_CVTrain = 0;
t_CVTest = 0;
t_CVTrainTest = 0;
}
/**
* Updates the training time
* @param iTrainTime is the time at the beginning of training
*/
public void updateTrainTime (long iTrainTime){
t_Train += System.currentTimeMillis() - iTrainTime;
}
/**
* Update the test time
* @param iTestTime is the time at the beginning of the test
*/
public void updateTestTime(long iTestTime){
t_Test += System.currentTimeMillis() - iTestTime;
}
public void updateTotalTime(long iTime){
t_totalTime += iTime;
}
/**
* <p>
* It prints the average time wasted in every kind of run
* </p>
* <p>
* @param pW is the PrintWriter associated to the file where the time
* averages have to be printed.
* </p>
*/
public void printTimes(PrintWriter pW){
System.out.println ("The time statistics are made");
pW.println (" ============================= RUN TIME INFORMATION ============================= ");
pW.println ("TIMES IN SECONDS ");
pW.println ("Total time: "+ ((double)t_totalTime/1000.0));
pW.println ("\t Time of TRAIN: "+ ((double)t_Train/1000.0));
pW.println ("\t Time of TEST: "+ ((double)t_Test/1000.0));
pW.println ("\t Time of WILSON REDUCTION: "+ ((double)t_Wilson/1000.0));
pW.println ("\t Time of WEAK DIXON REDUCTION: "+ ((double)t_WeakDixon/1000.0));
pW.println ("\t Time of STRONG DIXON REDUCTION: "+ ((double)t_StrongDixon/1000.0));
//pW.println ("Temps Total del FOLD: "+ ((double)(t_CVTest+t_CVTrain+t_CVTrainTest)/1000.0));
//pW.println ("\t Time of TRAIN: "+ ((double)t_CVTrain/1000.0));
//pW.println ("\t Time of TEST AMB Training set: "+ ((double)t_CVTrainTest/1000.0));
//pW.println ("\t Time of TEST AMB Test set: "+ ((double)t_CVTest/1000.0));
pW.println ("\n\n TIMES IN MINUTES ");
pW.println ("Total time: "+ ((double)t_totalTime/60000));
pW.println ("\t Time of TRAIN: "+ ((double)t_Train/60000));
pW.println ("\t Time of TEST: "+ ((double)t_Test/60000));
pW.println ("\t Time of WILSON REDUCTION: "+ ((double)t_Wilson/60000));
pW.println ("\t Time of WEAK DIXON REDUCTION: "+ ((double)t_WeakDixon/60000));
pW.println ("\t Time of STRONG DIXON REDUCTION: "+ ((double)t_StrongDixon/60000));
//pW.println ("Temps Total del FOLD: "+ ((double)(t_CVTest+t_CVTrain+t_CVTrainTest)/60000.0));
//pW.println ("\t Time of TRAIN: "+ ((double)t_CVTrain/60000.0));
//pW.println ("\t Time of TEST AMB Training set: "+ ((double)t_CVTrainTest/60000.0));
//pW.println ("\t Time of TEST AMB Test set: "+ ((double)t_CVTest/60000.0));
pW.println ("================================================================================ ");
}
/**
* <p>
* It prints the average time wasted in every kind of run
* </p>
*/
public void printTimes(){
System.out.println ("============================= RUN TIME INFORMATION ============================= ");
System.out.println ("TIMES IN SECONDS ");
System.out.println ("Total time: "+ ((double)t_totalTime/1000.0));
System.out.println ("\t Time of TRAIN: "+ ((double)t_Train/1000.0));
System.out.println ("\t Time of TEST: "+ ((double)t_Test/1000.0));
System.out.println ("\t Time of WILSON REDUCTION: "+ ((double)t_Wilson/1000.0));
System.out.println ("\t Time of WEAK DIXON REDUCTION: "+ ((double)t_WeakDixon/1000.0));
System.out.println ("\t Time of STRONG DIXON REDUCTION: "+ ((double)t_StrongDixon/1000.0));
//System.out.println ("\n\n TIMES IN MINUTES ");
//System.out.println ("Total time: "+ ((double)t_totalTime/60000.0));
//System.out.println ("\t Time of TRAIN: "+ ((double)t_Train/60000.0));
//System.out.println ("\t Time of TEST: "+ ((double)t_Test/60000.0));
//System.out.println ("\t Time of WILSON REDUCTION: "+ ((double)t_Wilson/60000.0));
//System.out.println ("\t Time of WEAK DIXON REDUCTION: "+ ((double)t_WeakDixon/60000.0));
//System.out.println ("\t Time of STRONG DIXON REDUCTION: "+ ((double)t_StrongDixon/60000.0));
System.out.println ("================================================================================ ");
}
} // end TimeControl