MarginalConfig.SplitGaussianMarginalConfig Class Reference

Public Member Functions
Any	to_cpp (self)
"SplitGaussianMarginalConfig"	from_cpp (cls, Any cpp)

Public Attributes
	mu
	sigma_p
	sigma_m

Static Public Attributes
float	mu = 0.0
float	sigma_p = 1.0
float	sigma_m = 1.0

Detailed Description

Configuration for an asymmetric split-Gaussian marginal.

Args:
    mu: Central value or mode of the distribution.
    sigma_p: Right-side standard deviation, used for values above ``mu``.
    sigma_m: Left-side standard deviation, used for values below ``mu``.

Definition at line 87 of file MarginalConfig.py.

Member Function Documentation

from_cpp()

"SplitGaussianMarginalConfig" MarginalConfig.SplitGaussianMarginalConfig.from_cpp	(		cls,
		Any	cpp
	)

Create a Python config from a bound C++ split-Gaussian config.

Definition at line 105 of file MarginalConfig.py.

to_cpp()

Any MarginalConfig.SplitGaussianMarginalConfig.to_cpp

(

self

)

Build a bound C++ ``SplitGaussianMarginalCfg`` instance.

Definition at line 100 of file MarginalConfig.py.

Member Data Documentation

mu [1/2]

float MarginalConfig.SplitGaussianMarginalConfig.mu = 0.0

static

Definition at line 96 of file MarginalConfig.py.

mu [2/2]

MarginalConfig.SplitGaussianMarginalConfig.mu

Definition at line 102 of file MarginalConfig.py.

sigma_m [1/2]

float MarginalConfig.SplitGaussianMarginalConfig.sigma_m = 1.0

static

Definition at line 98 of file MarginalConfig.py.

sigma_m [2/2]

MarginalConfig.SplitGaussianMarginalConfig.sigma_m

Definition at line 102 of file MarginalConfig.py.

sigma_p [1/2]

float MarginalConfig.SplitGaussianMarginalConfig.sigma_p = 1.0

static

Definition at line 97 of file MarginalConfig.py.

sigma_p [2/2]

MarginalConfig.SplitGaussianMarginalConfig.sigma_p

Definition at line 102 of file MarginalConfig.py.

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

• /home/runner/work/Hyperiso/Hyperiso/Hyperiso/Hyperiso/pyhyperiso/core/Statistic/MarginalConfig.py