tfp.experimental.mcmc.SNAPERHamiltonianMonteCarloResults

Internal state of SNAPERHamiltonianMonteCarlo.

tfp.experimental.mcmc.SNAPERHamiltonianMonteCarloResults(
    inner_results,
    ema_mean,
    ema_variance,
    state_ema_points,
    ema_principal_component,
    principal_component_ema_points,
    seed
)

Attributes
inner_results	Results of the inner kernel. This is PreconditionedHamiltonianMonteCarloResults wrapped in GradientBasedTrajectoryLengthAdaptationResults.
ema_mean	Exponential moving average cross-chain state mean.
ema_variance	Exponential moving average cross-chain state variance.
state_ema_points	Approximate number of points used to compute the exponential moving averages.
ema_principal_component	Exponential moving average cross-chain state covariance matrix principal component.
principal_component_ema_points	A namedtuple alias for field number 5
seed	PRNG seed; see tfp.random.sanitize_seed for details. The random seed used by the kernel in the previous step.
principal_component__ema_points	Approximate number of points used to compute the exponential moving average of the principal component.