Implementation of the CrossEntropy as separation criterion.
-p log (p) - (1-p)log(1-p); p=purity
Definition at line 43 of file CrossEntropy.h.
#include <TMVA/CrossEntropy.h>
◆ CrossEntropy() [1/2]
| TMVA::CrossEntropy::CrossEntropy |
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◆ CrossEntropy() [2/2]
◆ ~CrossEntropy()
| virtual TMVA::CrossEntropy::~CrossEntropy |
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◆ Class()
| static TClass * TMVA::CrossEntropy::Class |
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- Returns
- TClass describing this class
◆ Class_Name()
| static const char * TMVA::CrossEntropy::Class_Name |
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- Returns
- Name of this class
◆ Class_Version()
| static constexpr Version_t TMVA::CrossEntropy::Class_Version |
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inlinestaticconstexpr |
◆ DeclFileName()
| static const char * TMVA::CrossEntropy::DeclFileName |
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inlinestatic |
- Returns
- Name of the file containing the class declaration
Definition at line 61 of file CrossEntropy.h.
◆ GetName()
| const TString & TMVA::SeparationBase::GetName |
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◆ GetSeparationGain()
Separation Gain: the measure of how the quality of separation of the sample increases by splitting the sample e.g.
into a "left-node" and a "right-node" (N * Index_parent) - (N_left * Index_left) - (N_right * Index_right) this is then the quality criterion which is optimized for when trying to increase the information in the system (making the best selection
Reimplemented in TMVA::SdivSqrtSplusB.
Definition at line 100 of file SeparationBase.cxx.
◆ GetSeparationIndex()
◆ IsA()
| TClass * TMVA::CrossEntropy::IsA |
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◆ Streamer()
| void TMVA::CrossEntropy::Streamer |
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TBuffer & | | ) |
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◆ StreamerNVirtual()
| void TMVA::CrossEntropy::StreamerNVirtual |
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TBuffer & | ClassDef_StreamerNVirtual_b | ) |
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◆ fName
| TString TMVA::SeparationBase::fName |
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◆ fPrecisionCut
| Double_t TMVA::SeparationBase::fPrecisionCut |
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The documentation for this class was generated from the following files: