NumpyTransform

class bayesflow.adapters.transforms.NumpyTransform(forward: str, inverse: str = None)

Bases: ElementwiseTransform

A class to apply element-wise transformations using plain NumPy functions.

Attributes:

_forwardstr

The name of the NumPy function to apply in the forward transformation.

_inversestr

The name of the NumPy function to apply in the inverse transformation.

Initializes the NumpyTransform with specified forward and inverse functions.

Parameters:

forwardstr

The name of the NumPy function to use for the forward transformation.

inversestr, optional

The name of the NumPy function to use for the inverse transformation. By default, the inverse is inferred from the forward argument for supported methods.

INVERSE_METHODS = {<ufunc 'arctan'>: <ufunc 'tan'>, <ufunc 'exp'>: <ufunc 'log'>, <ufunc 'expm1'>: <ufunc 'log1p'>, <ufunc 'log'>: <ufunc 'exp'>, <ufunc 'log1p'>: <ufunc 'expm1'>, <ufunc 'reciprocal'>: <ufunc 'reciprocal'>, <ufunc 'sqrt'>: <ufunc 'square'>, <ufunc 'square'>: <ufunc 'sqrt'>, <ufunc 'tan'>: <ufunc 'arctan'>}

Dict of np.ufunc that support automatic selection of their inverse.

get_config() → dict

forward(data: dict[str, any], **kwargs) → dict[str, any]

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

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

Call self as a function.

classmethod from_config(config: dict, custom_objects=None)