RoundsDataset#

class bayesflow.datasets.RoundsDataset(simulator: Simulator, batch_size: int, num_batches: int, epochs_per_round: int, adapter: Adapter | None, **kwargs)[source]#

Bases: PyDataset

A dataset that is generated on-the-fly at the beginning of every n-th epoch.

property num_batches: int#

Number of batches in the PyDataset.

Returns:: The number of batches in the PyDataset or None to indicate that the dataset is infinite.

on_epoch_end() → None[source]#: Method called at the end of every epoch.

regenerate() → None[source]#: Sample new batches of data from the joint distribution unconditionally

property max_queue_size#

on_epoch_begin()#: Method called at the beginning of every epoch.

property use_multiprocessing#

property workers#