RandomSubsample# class bayesflow.adapters.transforms.RandomSubsample(sample_size: int | float, axis: int = -1)[source]# Bases: ElementwiseTransform A transform that takes a random subsample of the data within an axis. Examples >>> adapter = bf.Adapter().random_subsample("x", sample_size=3, axis=-1) forward(data: ndarray, **kwargs) → ndarray[source]# inverse(data: ndarray, **kwargs) → ndarray[source]# get_config() → dict[source]# __call__(data: ndarray, inverse: bool = False, **kwargs) → ndarray# Call self as a function. classmethod from_config(config: dict, custom_objects=None)# log_det_jac(data: ndarray, inverse: bool = False, **kwargs) → ndarray | None#
