core.density.interpolation.interpolated_log_prob_multi

core.density.interpolation.interpolated_log_prob_multi(
    sample_points,
    values,
    evaluation_points,
    num_processes=1,
)

Given a distribution discretized on a grid, the log prob at a specific point using an interpolated distribution. Wraps the bilby.core.prior.Interped class. Works with multiprocessing.

Parameters

Name	Type	Description	Default
sample_points	(np.ndarray, shape(N))	x values for samples	required
values	(np.ndarray, shape(B, N))	y values for samples. The distributions do not have to be initially normalized, although the final log_probs will be. B = batch dimension.	required
evaluation_points	(np.ndarray, shape(B))	x values at which to evaluate log_prob.	required
num_processes	int	Number of parallel processes to use.	1

Returns

Name	Type	Description
	(np.ndarray, np.ndarray) : sample and log_prob arrays, each of length B