TorchVinecop.simulate

TorchVinecop.simulate(n, *, qrng=False, num_threads=1, seeds=None, x=None)

Simulate n samples from the fitted copula.

Parameters:

nint

Number of samples (must equal rows(x) when x is given).

qrngbool, default=False

Draw quasi-random base uniforms instead of pseudo-random.

num_threadsint, default=1

Accepted for parity; ignored.

seedslist of int or None, optional

RNG seeds forwarded to the subclass’s base-uniform draw.

xarray, shape (n, p), or None, optional

External covariates for a conditional draw (one row per sample).

Returns:

array, shape (n, d), dtype float

Dependent uniforms in [1e-10, 1 - 1e-10].