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1 | void trainseparation()
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2 | {
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3 | MDataSet settrn;
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4 | MDataSet settst;
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5 | settrn.SetNumAnalysis(1);
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6 | settst.SetNumAnalysis(2);
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7 |
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8 | MJTrainSeparation opt;
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9 | //opt.SetDebug();
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10 |
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11 | // ------- Parameters to train Random Forest --------
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12 | opt.AddParameter("MHillas.fSize");
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13 | opt.AddParameter("MHillas.fWidth");
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14 | opt.AddParameter("MHillas.fLength");
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15 | opt.AddParameter("TMath::Abs(MHillasExt.fM3Long)");
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16 | opt.AddParameter("MNewImagePar.fConc");
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17 | opt.AddParameter("MNewImagePar.fConc1");
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18 |
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19 | // -------------------- Run ----------------------------
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20 | MStatusDisplay *d = new MStatusDisplay;
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21 | opt.SetDisplay(d);
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22 |
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23 | /*
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24 | -------------------- Energy Slope --------------------
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25 | MFEnergySlope slope(-2.8);
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26 | opt.AddPreCut(&slope);
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27 |
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28 | -------------------- Other cuts ----------------------
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29 | opt.AddPreCut("MHillas.fSize>200");
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30 | opt.AddPreCut("MHillasSrc.fDCA*MGeomCam.fConvMm2Deg<0.3");
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31 | */
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32 |
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33 | opt.SetDataSetTrain(settrn, 10000, 10000);
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34 | //opt.SetDataSetTest(settst);
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35 |
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36 | opt.Train("rf-separation.root");
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37 | }
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38 |
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39 | /*
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40 | // SequencesOn: Monte Carlo sequences (gammas)
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41 | // SequencesOff: Data sequences (background)
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42 |
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43 | // Use:
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44 | // opt.AddPreCut to use cut for test and training
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45 | // opt.AddTestCut to use cut for test only
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46 | // opt.AddTrainCut to use cut for train only
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47 | */
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