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Last change
on this file since 18579 was 9846, checked in by tbretz, 15 years ago |
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Added new class MJTrainImpact to estimate the impact parameter by use of a random forest.
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File size:
818 bytes
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| 1 | #ifndef MARS_MJTrainImpact
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| 2 | #define MARS_MJTrainImpact
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| 3 |
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| 4 | #ifndef MARS_MJTrainRanForest
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| 5 | #include "MJTrainRanForest.h"
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| 6 | #endif
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| 7 |
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| 8 | class MDataSet;
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| 9 |
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| 10 | class MJTrainImpact : public MJTrainRanForest
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| 11 | {
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| 12 | private:
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| 13 | TString fTrainParameter;
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| 14 | TString fResultFunction;
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| 15 |
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| 16 | // To be moved to a base class
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| 17 | TString fNameOutput;
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| 18 |
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| 19 | public:
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| 20 | MJTrainImpact() : fNameOutput("MImpactEst") { SetTrainSq(); }
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| 21 |
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| 22 | void SetTrainSq() { SetTrainFunc("MMcEvt.fImpact^2", "sqrt(x)"); }
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| 23 | void SetTrainLin() { SetTrainFunc("MMcEvt.fEnergy", "x"); }
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| 24 |
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| 25 | void SetTrainFunc(const char *par, const char *res)
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| 26 | {
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| 27 | fTrainParameter = par;
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| 28 | fResultFunction = res;
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| 29 | }
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| 30 |
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| 31 | Bool_t Train(const char *out, const MDataSet &set, Int_t num);
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| 32 |
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| 33 | ClassDef(MJTrainImpact, 0)//Class to train Random Forest impact estimator
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| 34 | };
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| 35 |
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| 36 |
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| 37 | #endif
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