Log

class bayesflow.adapters.transforms.Log(*, p1: bool = False)

Bases: ElementwiseTransform

Log transforms a variable.

Parameters:

p1boolean

Add 1 to the input before taking the logarithm?

Examples

>>> adapter = bf.Adapter().log(["x"])

forward(data: ndarray, **kwargs) → ndarray

inverse(data: ndarray, **kwargs) → ndarray

classmethod from_config(config: dict, custom_objects=None) → Log

get_config() → dict

__call__(data: ndarray, inverse: bool = False, **kwargs) → ndarray

Call self as a function.