sakura.utils.distributions

Batch sample generation functions of various distributions

Functions

gaussian_mixture	Generates samples from a Gaussian mixture distribution arranged in 2D subspace(s).
rand	Creates a function that generates uniform random samples in [0, 1).
rand_cirlce2d	Generates 2D samples from a uniform filled-circle distribution in a 2-dimensional space.
rand_ring2d	Generates 2D samples from a hollowed-circle (ring) distribution using sklearn.make_circles.
rand_uniform	Generates samples from a uniform distribution with optional label-based offsets.
randn	Creates a function that generates standard normal random samples.
swiss_roll	Generates samples from a Swiss roll manifold with optional label conditioning.