MVGaussian.sample (function)
def sample(self, size=None, dimension=None, seed=None, cache_sample=True)
Sample from the distribution.
Arguments
size(int or tuple or None, optional, default=None): size/shape of the resulting array.dimension: (int or list of ints, optional, default=None): dimension(s) of the multivariate distribution to sample. If not provided or None, will return all dimensions.seed(int, optional): seed to pass to np.random.seed prior to sampling.cache_sample(bool, optional, default=True): whether to override the existing MVGaussian.cached_sample.
Returns
- float or array: float if
size=None, otherwise a numpy array with shape defined bysize.