pub type DiagGradNutsSettings = DiagNutsSettings;Use DiagNutsSettings instead
Expand description
Backwards-compatible alias for DiagNutsSettings.
Aliased Typeยง
pub struct DiagGradNutsSettings {Show 16 fields
pub num_tune: u64,
pub num_draws: u64,
pub maxdepth: u64,
pub mindepth: u64,
pub store_gradient: bool,
pub store_unconstrained: bool,
pub store_transformed: bool,
pub max_energy_error: f64,
pub store_divergences: bool,
pub adapt_options: EuclideanAdaptOptions<DiagAdaptExpSettings>,
pub check_turning: bool,
pub target_integration_time: Option<f64>,
pub trajectory_kind: KineticEnergyKind,
pub num_chains: usize,
pub seed: u64,
pub extra_doublings: u64,
}Fieldsยง
ยงnum_tune: u64The number of tuning steps, where we fit the step size and geometry.
num_draws: u64The number of draws after tuning
maxdepth: u64The maximum tree depth during sampling. The number of leapfrog steps is smaller than 2 ^ maxdepth.
mindepth: u64The minimum tree depth during sampling. The number of leapfrog steps is larger than 2 ^ mindepth.
store_gradient: boolStore the gradient in the SampleStats
store_unconstrained: boolStore each unconstrained parameter vector in the sampler stats
store_transformed: boolStore the transformed gradient and value in the sampler stats
max_energy_error: f64If the energy error is larger than this threshold we treat the leapfrog step as a divergence.
store_divergences: boolStore detailed information about each divergence in the sampler stats
adapt_options: EuclideanAdaptOptions<DiagAdaptExpSettings>Settings for geometry adaptation.
check_turning: boolยงtarget_integration_time: Option<f64>ยงtrajectory_kind: KineticEnergyKindSelects the kinetic-energy form and the corresponding integrator.
KineticEnergyKind::Euclidean: standard leapfrog (default for most settings).KineticEnergyKind::ExactNormal: geodesic leapfrog exact for a standard-normal potential.KineticEnergyKind::Microcanonical: isokinetic ESH-dynamics leapfrog (microcanonical HMC); momentum is constrained to the unit sphere.
num_chains: usizeยงseed: u64ยงextra_doublings: u64Number of extra doublings to perform after reaching maxdepth. This can be used to increase the effective sample size at the cost of more expensive sampling.