Scale#

class bayesflow.adapters.transforms.Scale(scale: _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes])[source]#

Bases: ElementwiseTransform

get_config() → dict[source]#

forward(data: ndarray, **kwargs) → ndarray[source]#

inverse(data: ndarray, **kwargs) → ndarray[source]#

__call__(data: ndarray, inverse: bool = False, **kwargs) → ndarray#: Call self as a function.

classmethod from_config(config: dict, custom_objects=None)#