Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
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MarginalConfig.GaussianMarginalConfig Class Reference

Public Member Functions

Any to_cpp (self)
 
"GaussianMarginalConfig" from_cpp (cls, Any cpp)
 

Public Attributes

 mu
 
 sigma
 

Static Public Attributes

float mu = 0.0
 
float sigma = 1.0
 

Detailed Description

Configuration for a Gaussian marginal distribution.

Args:
    mu: Central value of the Gaussian.
    sigma: Standard deviation. It should be strictly positive.

Definition at line 65 of file MarginalConfig.py.

Member Function Documentation

◆ from_cpp()

"GaussianMarginalConfig" MarginalConfig.GaussianMarginalConfig.from_cpp (   cls,
Any  cpp 
)
Create a Python config from a bound C++ Gaussian config.

Definition at line 81 of file MarginalConfig.py.

◆ to_cpp()

Any MarginalConfig.GaussianMarginalConfig.to_cpp (   self)
Build a bound C++ ``GaussianMarginalCfg`` instance.

Definition at line 76 of file MarginalConfig.py.

Member Data Documentation

◆ mu [1/2]

float MarginalConfig.GaussianMarginalConfig.mu = 0.0
static

Definition at line 73 of file MarginalConfig.py.

◆ mu [2/2]

MarginalConfig.GaussianMarginalConfig.mu

Definition at line 78 of file MarginalConfig.py.

◆ sigma [1/2]

float MarginalConfig.GaussianMarginalConfig.sigma = 1.0
static

Definition at line 74 of file MarginalConfig.py.

◆ sigma [2/2]

MarginalConfig.GaussianMarginalConfig.sigma

Definition at line 78 of file MarginalConfig.py.


The documentation for this class was generated from the following file: