bayesflow.benchmarks.two_moons module#

bayesflow.benchmarks.two_moons.prior(lower_bound=-1.0, upper_bound=1.0, rng=None)[source]#

Generates a random draw from a 2-dimensional uniform prior bounded between lower_bound and upper_bound which represents the two parameters of the two moons simulator.

Parameters:
lower_boundfloat, optional, default-1

The lower bound of the uniform prior.

upper_boundfloat, optional, default1

The upper bound of the uniform prior.

rngnp.random.Generator or None, default: None

An optional random number generator to use.

Returns:
thetanp.ndarray of shape (2,)

A single draw from the 2-dimensional uniform prior.

bayesflow.benchmarks.two_moons.simulator(theta, rng=None)[source]#

Implements data generation from the two-moons model with a bimodal posterior. See https://arxiv.org/pdf/2101.04653.pdf, Benchmark Task T.8

Parameters:
thetanp.ndarray of shape (2,)

The vector of two model parameters.

rngnp.random.Generator or None, default: None

An optional random number generator to use.

Returns:
xnp.ndarray of shape (2,)

The 2D vector generated from the two moons simulator.

bayesflow.benchmarks.two_moons.configurator(forward_dict, mode='posterior')[source]#

Configures simulator outputs for use in BayesFlow training.