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Belle II Software
release-06-01-15
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Class to hold parameters needed to perform pre-processing of input variables (e.g., gaussianisation, decorrelation) to build a multi-dimensional likelihood model. More...
#include <ECLChargedPidPDFs.h>
Public Member Functions | |
VarTransfoSettings () | |
Constructor. | |
~VarTransfoSettings () | |
Destructor. | |
Public Attributes | |
int | nVars |
std::string | classPath |
Number of variables. | |
std::vector< int > | nDivisions |
Path of the class used to get the variables transfo. More... | |
int | nDivisionsMax |
Number of steps in which each variable range is sub-divided. | |
std::vector< double > | cumulDist |
Maximal number of steps, across all variables. | |
std::vector< double > | x |
Cumulative density function at each step. | |
std::vector< double > | covMatrix |
Variable value at each step. | |
unsigned int | ip |
Variables covariance matrix. | |
unsigned int | jth |
p bin index | |
unsigned int | gbin |
theta bin index | |
Class to hold parameters needed to perform pre-processing of input variables (e.g., gaussianisation, decorrelation) to build a multi-dimensional likelihood model.
All matrices are stored in a linearised form, as vectors.
Definition at line 85 of file ECLChargedPidPDFs.h.
std::vector<int> nDivisions |
Path of the class used to get the variables transfo.
Useful for debugging.
Definition at line 95 of file ECLChargedPidPDFs.h.