SequentialSimulator#
- class bayesflow.simulators.SequentialSimulator(simulators: Sequence[Simulator], expand_outputs: bool = True, replace_inputs: bool = True)[source]#
Bases:
SimulatorCombines multiple simulators into one, sequentially.
Initialize a SequentialSimulator.
- Parameters:
- simulatorsSequence[Simulator]
A sequence of simulator instances to be executed sequentially. Each simulator should return dictionary outputs and may depend on outputs from previous simulators.
- expand_outputsbool, optional
If True, 1D output arrays are expanded with an additional dimension at the end. Default is True.
- replace_inputsbool, optional
If True, **kwargs are auto-batched and replace simulator outputs.
- sample(batch_shape: tuple[int, ...], **kwargs) dict[str, ndarray][source]#
Sample sequentially from the internal simulator.
- Parameters:
- batch_shapeShape
The shape of the batch to sample. Typically, a tuple indicating the number of samples, but it also accepts an int.
- **kwargs
Additional keyword arguments passed to each simulator. These may include previously sampled outputs used as inputs for subsequent simulators.
- Returns:
- datadict of str to np.ndarray
A dictionary containing the combined outputs from all simulators. Keys are output names and values are sampled arrays. If expand_outputs is True, 1D arrays are expanded to have shape (…, 1).