AsSet

class bayesflow.adapters.transforms.AsSet

Bases: ElementwiseTransform

The .as_set([“x”, “y”]) transform indicates that both x and y are treated as sets.

That is, their values will be treated as exchangable such that they will imply the same inference regardless of the values’ order. This is useful, for example, in a linear regression context where we can index the observations in arbitrary order and always get the same regression line.

Currently, all this transform does is to ensure that the variable arrays are at least 3D. The 2rd dimension is treated as the set dimension and the 3rd dimension as the data dimension. In the future, the transform will have more advanced behavior to better ensure the correct treatment of sets.

Examples

>>> adapter = bf.Adapter().as_set(["x", "y"])

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

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

get_config() → dict

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

Call self as a function.

classmethod from_config(config: dict, custom_objects=None)