torch_mist.data.multimixture

Module Contents

Classes

MultivariateCorrelatedNormalMixture

class torch_mist.data.multimixture.MultivariateCorrelatedNormalMixture(rho: float = 0.95, sigma: float = 0.1, epsilon: float = 0.15, delta: float = 1.5, n_dim: int = 5)

Bases: torch_mist.distributions.joint.wrapper.TorchJointDistribution

MC_SAMPLES = 100000

MC_ITERATIONS = 100

_marginal(variables: List[str]) → torch_mist.distributions.joint.base.JointDistribution

_approximate_estimates()

_entropy(variables: List[str]) → torch.Tensor

_mutual_information(variable_1: str, variable_2: str) → torch.Tensor