LogNormalPrior

class baybe.priors.basic.LogNormalPrior

Bases: Prior

A Log-Normal prior parameterized by location and scale.

Public methods

__init__(loc, scale)	Method generated by attrs for class LogNormalPrior.
from_dict(dictionary)	Create an object from its dictionary representation.
from_json(string)	Create an object from its JSON representation.
to_dict()	Create an object's dictionary representation.
to_gpytorch(*args, **kwargs)	Create the gpytorch representation of the prior.
to_json()	Create an object's JSON representation.

Public attributes and properties

loc	The location (mu).
scale	The scale (sigma).

__init__(loc, scale)

Method generated by attrs for class LogNormalPrior.

For details on the parameters, see Public attributes and properties.

classmethod from_dict(dictionary: dict)

Create an object from its dictionary representation.

Parameters:

dictionary (dict) – The dictionary representation.

Return type:

TypeVar(_T)

Returns:

The reconstructed object.

classmethod from_json(string: str)

Create an object from its JSON representation.

Parameters:

string (str) – The JSON representation of the object.

Return type:

TypeVar(_T)

Returns:

The reconstructed object.

to_dict()

Create an object’s dictionary representation.

Return type:

dict

to_gpytorch(*args, **kwargs)

Create the gpytorch representation of the prior.

to_json()

Create an object’s JSON representation.

Return type:

str

Returns:

The JSON representation as a string.

loc: float

The location (mu).

scale: float

The scale (sigma).