| 1 | #ifndef MARS_MRFEnergyEst | 
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| 2 | #define MARS_MRFEnergyEst | 
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| 3 |  | 
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| 4 | #ifndef MARS_MTask | 
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| 5 | #include "MTask.h" | 
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| 6 | #endif | 
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| 7 |  | 
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| 8 | #ifndef ROOT_TObjArray | 
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| 9 | #include <TObjArray.h> | 
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| 10 | #endif | 
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| 11 |  | 
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| 12 | #ifndef ROOT_TArrayD | 
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| 13 | #include <TArrayD.h> | 
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| 14 | #endif | 
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| 15 |  | 
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| 16 | class MDataArray; | 
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| 17 | class MParameterD; | 
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| 18 | class MHMatrix; | 
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| 19 |  | 
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| 20 | class MRFEnergyEst : public MTask | 
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| 21 | { | 
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| 22 | public: | 
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| 23 | enum EstimationMode_t | 
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| 24 | { | 
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| 25 | kMean, | 
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| 26 | kMaximum, | 
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| 27 | kFit | 
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| 28 | }; | 
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| 29 |  | 
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| 30 | private: | 
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| 31 | static const TString gsDefName;   //! Default Name | 
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| 32 | static const TString gsDefTitle;  //! Default Title | 
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| 33 |  | 
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| 34 | Bool_t       fDebug;      // Debugging of eventloop while training on/off | 
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| 35 |  | 
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| 36 | TString      fFileName;   // File name to forest | 
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| 37 | TObjArray    fEForests;   // List of forests | 
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| 38 |  | 
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| 39 | MDataArray  *fData;       //! Used to store the MDataChains to get the event values | 
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| 40 | MParameterD *fEnergyEst;  //! Used to storeestimated energy | 
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| 41 |  | 
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| 42 | Int_t        fNumTrees;   //! Training parameters | 
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| 43 | Int_t        fNumTry;     //! Training parameters | 
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| 44 | Int_t        fNdSize;     //! Training parameters | 
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| 45 |  | 
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| 46 | MHMatrix    *fTestMatrix; //! Test Matrix used in Process (together with MMatrixLoop) | 
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| 47 |  | 
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| 48 | EstimationMode_t fEstimationMode; | 
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| 49 |  | 
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| 50 | private: | 
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| 51 | // MTask | 
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| 52 | Int_t PreProcess(MParList *plist); | 
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| 53 | Int_t Process(); | 
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| 54 |  | 
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| 55 | // MRFEnergyEst | 
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| 56 | Int_t ReadForests(MParList &plist); | 
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| 57 |  | 
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| 58 | // MParContainer | 
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| 59 | Int_t ReadEnv(const TEnv &env, TString prefix, Bool_t print); | 
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| 60 |  | 
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| 61 | // Train Interface | 
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| 62 | Int_t Train(const MHMatrix &n, const TArrayD &grid, Int_t ver=2); | 
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| 63 |  | 
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| 64 | public: | 
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| 65 | MRFEnergyEst(const char *name=NULL, const char *title=NULL); | 
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| 66 | ~MRFEnergyEst(); | 
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| 67 |  | 
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| 68 | // Setter for estimation | 
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| 69 | void SetFileName(TString filename)          { fFileName = filename; } | 
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| 70 | void SetEstimationMode(EstimationMode_t op) { fEstimationMode = op; } | 
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| 71 |  | 
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| 72 | // Setter for training | 
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| 73 | void SetNumTrees(UShort_t n=100) { fNumTrees = n; } | 
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| 74 | void SetNdSize(UShort_t n=5)     { fNdSize   = n; } | 
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| 75 | void SetNumTry(UShort_t n=0)     { fNumTry   = n; } | 
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| 76 | void SetDebug(Bool_t b=kTRUE)    { fDebug = b; } | 
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| 77 |  | 
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| 78 | // Train Interface | 
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| 79 | Int_t TrainMultiRF(const MHMatrix &n, const TArrayD &grid) | 
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| 80 | { | 
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| 81 | return Train(n, grid, 0); | 
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| 82 | } | 
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| 83 | Int_t TrainSingleRF(const MHMatrix &n, const TArrayD &grid=TArrayD()) | 
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| 84 | { | 
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| 85 | return Train(n, grid, grid.GetSize()==0 ? 2 : 1); | 
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| 86 | } | 
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| 87 |  | 
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| 88 | // Test Interface | 
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| 89 | void  SetTestMatrix(MHMatrix *m=0) { fTestMatrix=m; } | 
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| 90 | void  InitMapping(MHMatrix *m=0)   { fTestMatrix=m; } | 
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| 91 |  | 
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| 92 | ClassDef(MRFEnergyEst, 0) // Task | 
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| 93 | }; | 
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| 94 |  | 
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| 95 | #endif | 
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