Drop

class bayesflow.adapters.transforms.Drop(keys: Sequence[str])

Bases: Transform

Transform to drop variables from further calculation.

Parameters:

keyssequence of str

Names of data variables that should be dropped

Examples

>>> import bayesflow as bf
>>> a = [1, 2, 3, 4]
>>> b = [[1, 2], [3, 4]]
>>> c = [[5, 6, 7, 8]]
>>> dat = dict(a=a, b=b, c=c)
>>> dat
    {'a': [1, 2, 3, 4], 'b': [[1, 2], [3, 4]], 'c': [[5, 6, 7, 8]]}
>>> drop = bf.adapters.transforms.Drop(("b", "c"))
>>> drop.forward(dat)
    {'a': [1, 2, 3, 4]}

get_config() → dict

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

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

extra_repr() → str

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

Call self as a function.

classmethod from_config(config: dict, custom_objects=None)