MapTransform#

class bayesflow.adapters.transforms.MapTransform(transform_map: dict[str, ElementwiseTransform])[source]#

Bases: Transform

Implements a transform that applies a set of elementwise transforms to a subset of the data as given by a mapping.

Parameters:

transform_mapdict[str, ElementwiseTransform]: Dictionary with variable names as keys and corresponding transforms as values.

get_config() → dict[source]#

forward(data: dict[str, ndarray], *, strict: bool = True, **kwargs) → dict[str, ndarray][source]#

inverse(data: dict[str, ndarray], *, strict: bool = False, **kwargs) → dict[str, ndarray][source]#

log_det_jac(data: dict[str, ndarray], log_det_jac: dict[str, ndarray], *, strict: bool = True, **kwargs) → dict[str, ndarray][source]#

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

extra_repr() → str#

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