VineDensity.sample

VineDensity.sample(n_samples=1, random_state=None)

Draws samples from the fitted joint density.

Samples \(U \sim C\) via simulate() and pushes each component back through the inverse marginal CDF \(F_j^{-1}\) to obtain a sample in the original feature space.

Parameters:

n_samplesint, default=1

Number of samples to generate.

random_stateint, RandomState instance or None, default=None

Resolved fresh via sklearn.utils.check_random_state for this call. None reuses the RNG resolved at fit time.

Returns:

ndarray, shape (n_samples, n_features), dtype float

Generated samples in the original feature scale.