ToArray

class bayesflow.adapters.transforms.ToArray(original_type: type = None)

Bases: ElementwiseTransform

Checks provided data for any non-arrays and converts them to numpy arrays.

This ensures all data is in a format suitable for training.

Examples

>>> ta = bf.adapters.transforms.ToArray()
>>> a = [1, 2, 3, 4]
>>> ta.forward(a)
    array([1, 2, 3, 4])
>>> b = [[1, 2], [3, 4]]
>>> ta.forward(b)
    array([[1, 2],
        [3, 4]])

get_config() → dict

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

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

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

Call self as a function.

classmethod from_config(config: dict, custom_objects=None)