tfp.experimental.mcmc.SNAPERHamiltonianMonteCarloResults Stay organized with collections Save and categorize content based on your preferences.
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. |
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Last updated 2023-11-21 UTC.
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