figaro.utils

Functions

get_priors(bounds[, samples, mean, std, df, ...])	This method takes the prior parameters for the Normal-Inverse-Wishart distribution in the natural space and returns them as parameters in the probit space, ordered as required by FIGARO.
gradient_median(x, draws)	Computes the gradient of the median distribution (slow but numerically stable)
load_options(opts, parser)	Loads options for the run (reproducibility)
make_gaussian_mixture(mu, cov, bounds[, ...])	Builds mixtures composed of equally-weighted Gaussian distribution.
recursive_grid(bounds, n_pts[, get_1d])	Recursively generates the n-dimensional grid points (extremes are excluded).
rejection_sampler(n_draws, f, bounds[, selfunc])	Rejection sampler, allows for a selection function
rvs_median(draws[, size])	Generates samples from median distribution of a set of draws.
save_options(options, out_folder[, name])	Saves options for the run (reproducibility)