Definition at line 88 of file SeparationBase.h.
#include <TMVA/SeparationBase.h>
◆ SeparationBase() [1/2]
TMVA::SeparationBase::SeparationBase |
( |
| ) |
|
◆ SeparationBase() [2/2]
◆ ~SeparationBase()
virtual TMVA::SeparationBase::~SeparationBase |
( |
| ) |
|
|
inlinevirtual |
◆ GetName()
const TString& TMVA::SeparationBase::GetName |
( |
| ) |
|
|
inline |
◆ 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 crition which is optimized for when trying to increase the information in the system (making the best selection
Reimplemented in TMVA::SdivSqrtSplusB.
Definition at line 76 of file SeparationBase.cxx.
◆ GetSeparationIndex()
◆ fName
TString TMVA::SeparationBase::fName |
|
protected |
◆ fPrecisionCut
Double_t TMVA::SeparationBase::fPrecisionCut |
|
protected |
The documentation for this class was generated from the following files: