sharded_static

jaxns.nested_samplers.sharded.sharded_static

Module Contents

class ShardedStaticNestedSampler

Bases: jaxns.nested_samplers.abc.AbstractNestedSampler

A static nested sampler that uses a fixed number of live points. This uses a uniform sampler to generate the initial set of samples down to an efficiency threshold, then uses a provided sampler to generate the rest of the samples until the termination condition is met.

Parameters:

• init_efficiency_threshold – the efficiency threshold to use for the initial uniform sampling. If 0 then turns it off.

• sampler – the sampler to use after the initial uniform sampling.

• num_live_points – the number of live points to use.

• model – the model to use.

• max_samples – the maximum number of samples to take.

• devices – the devices to use, default is 1.

• verbose – whether to log as we go.

model: jaxns.framework.bases.BaseAbstractModel

max_samples: int

init_efficiency_threshold: float

sampler: jaxns.samplers.abc.AbstractSampler

num_live_points: int

shell_fraction: float | None = None

num_dynamic_refinement_iterations: int = 0

refine_threshold: float = 0.01

devices: List[jaxlib.xla_client.Device] | None = None

verbose: bool = False

__post_init__()