Module « scipy.stats.qmc »

Classe « MultinomialQMC »

Informations générales

Héritage

builtins.object
    ABC
        QMCEngine
            MultinomialQMC

Définition

class MultinomialQMC(QMCEngine):

Description _{[extrait de MultinomialQMC.__doc__]}

QMC sampling from a multinomial distribution.

    Parameters
    ----------
    pvals : array_like (k,)
        Vector of probabilities of size ``k``, where ``k`` is the number
        of categories. Elements must be non-negative and sum to 1.
    engine : QMCEngine, optional
        Quasi-Monte Carlo engine sampler. If None, `Sobol` is used.
    seed : {None, int, `numpy.random.Generator`}, optional
        If `seed` is None the `numpy.random.Generator` singleton is used.
        If `seed` is an int, a new ``Generator`` instance is used,
        seeded with `seed`.
        If `seed` is already a ``Generator`` instance then that instance is
        used.

    Examples
    --------
    >>> from scipy.stats import qmc
    >>> engine = qmc.MultinomialQMC(pvals=[0.2, 0.4, 0.4])
    >>> sample = engine.random(10)

    

Constructeur(s)

Signature du constructeur	Description
__init__(self, pvals: 'npt.ArrayLike', *, engine: 'Optional[QMCEngine]' = None, seed: 'SeedType' = None) -> 'None'

Liste des opérateurs

Opérateurs hérités de la classe object

__eq__, __ge__, __gt__, __le__, __lt__, __ne__

Méthodes héritées de la classe QMCEngine

__init_subclass__, __subclasshook__, fast_forward

Méthodes héritées de la classe object

__delattr__, __dir__, __format__, __getattribute__, __hash__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__