AsTimeSeries

class bayesflow.adapters.transforms.AsTimeSeries

Bases: ElementwiseTransform

The .as_time_series transform can be used to indicate that variables shall be treated as time series.

Currently, all this transformation does is to ensure that the variable arrays are at least 3D. The 2rd dimension is treated as the time series 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 time series data.

Examples

>>> adapter = bf.Adapter().as_time_series(["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)