source: trunk/MagicSoft/Mars/manalysis/MRanForestCalc.cc@ 1859

/* ======================================================================== *\
!
! *
! * This file is part of MARS, the MAGIC Analysis and Reconstruction
! * Software. It is distributed to you in the hope that it can be a useful
! * and timesaving tool in analysing Data of imaging Cerenkov telescopes.
! * It is distributed WITHOUT ANY WARRANTY.
! *
! * Permission to use, copy, modify and distribute this software and its
! * documentation for any purpose is hereby granted without fee,
! * provided that the above copyright notice appear in all copies and
! * that both that copyright notice and this permission notice appear
! * in supporting documentation. It is provided "as is" without express
! * or implied warranty.
! *
!
!
!   Author(s): Thomas Hengstebeck 3/2003 <mailto:hengsteb@alwa02.physik.uni-siegen.de>
!
!   Copyright: MAGIC Software Development, 2000-2003
!
!
\* ======================================================================== */

/////////////////////////////////////////////////////////////////////////////
//
//  MRanForestCalc
//
//  Calculates the hadroness of an event. It calculates a mean value of all
//  classifications by the trees in a previously grown random forest.
//
//  To use only n trees for your calculation use:
//  MRanForestCalc::SetUseNumTrees(n);
//
////////////////////////////////////////////////////////////////////////////
#include "MRanForestCalc.h"

#include <fstream.h>

#include "MHMatrix.h" // must be before MLogManip.h

#include "MLog.h"
#include "MLogManip.h"

#include "MParList.h"
#include "MDataChain.h"
#include "MDataArray.h"

#include "MHadronness.h"

ClassImp(MRanForestCalc);

static const TString gsDefName  = "MRanForestCalc";
static const TString gsDefTitle = "Tree Classification Loop 1/2";
// --------------------------------------------------------------------------
//
// Setup histograms and the number of distances which are used for
// avaraging in CalcDist
//
MRanForestCalc::MRanForestCalc(const char *name, const char *title)
    : fNum(100), fData(NULL)
{
    //
    //   set the name and title of this object
    //
    fName  = name  ? name  : gsDefName.Data();
    fTitle = title ? title : gsDefTitle.Data();
}

// --------------------------------------------------------------------------
//
// Delete the data chains
//
MRanForestCalc::~MRanForestCalc()
{
    //    delete fData;
}

// --------------------------------------------------------------------------
//
// Needs:
//  - MatrixGammas  [MHMatrix]
//  - MatrixHadrons {MHMatrix]
//  - MHadronness
//  - all data containers used to build the matrixes
//
// The matrix object can be filles using MFillH. And must be of the same
// number of columns (with the same meaning).
//
Bool_t MRanForestCalc::PreProcess(MParList *plist)
{
    fRanForest = (MRanForest*)plist->FindObject("MRanForest");
    if (!fRanForest)
    {
        *fLog << err << dbginf << "MRanForest not found... aborting." << endl;
        return kFALSE;
    }

    fRanTree = (MRanTree*)plist->FindObject("MRanTree");
    if (!fRanTree)
    {
        *fLog << err << dbginf << "MRanTree not found... aborting." << endl;
        return kFALSE;
    }

    fData = fRanTree->GetData();

    if (!fData)
    {
        *fLog << err << dbginf << "Error matrix doesn't contain columns... aborting." << endl;
        return kFALSE;
    }

    if (!fData->PreProcess(plist))
    {
        *fLog << err << dbginf << "PreProcessing of the MDataArray failed for the columns failed... aborting." << endl;
        return kFALSE;
    }

    fHadroness = (MHadronness*)plist->FindCreateObj("MHadronness");
    if (!fHadroness)
        return kFALSE;

    return kTRUE;
}

// --------------------------------------------------------------------------
//
//
Bool_t MRanForestCalc::Process()
{
    const Double_t ncols = fData->GetNumEntries();
    TVector event(ncols);

    for (int i=0; i<fData->GetNumEntries(); i++)
        event(i) = (*fData)(i);

    Double_t hadroness=fRanForest->CalcHadroness(event);
    fHadroness->SetHadronness(hadroness);

    return kTRUE;
}