Struct MeasureJetBasisSpec 

pub struct MeasureJetBasisSpec {
    pub center_strategy: CenterStrategy,
    pub order_s: f64,
    pub alpha: f64,
    pub tau0: f64,
    pub num_scales: usize,
    pub length_scale: f64,
    pub double_penalty: bool,
    pub learn_length_scale: bool,
    pub multiscale: bool,
    pub identifiability: MeasureJetIdentifiability,
    pub frozen_quadrature: Option<MeasureJetFrozenQuadrature>,
}

Measure-jet smooth configuration (mjs(x0, …, xd)).

The feature columns are ambient coordinates of data concentrated near an unknown low-dimensional (possibly stratified) set; the term learns the geometry from the empirical measure itself — centers as quadrature nodes, masses as μ-weights, local jet residuals as the roughness carrier — with no graph, mesh, or neighbor-set inside the statistical object.

Fields

center_strategy: CenterStrategy

Center/knot selection strategy (deterministic; quadrature of μ).

order_s: f64

Continuous smoothness order s ∈ (0, 2); 0.0 sentinel = auto ([MEASURE_JET_DEFAULT_ORDER_S]).

alpha: f64

Density-normalization exponent α (outer weight q^{1−2α}).

tau0: f64

Historical τ coordinate retained for frozen specs and ψ layout. The measure-jet energy itself uses the exact weighted affine projection and is independent of τ; the τ ψ derivatives are therefore zero.

num_scales: usize

Number of scale nodes; 0 sentinel = auto dyadic band.

length_scale: f64

Representer (Gaussian RBF) range ℓ; 0.0 sentinel = auto (median nearest-center spacing × [MEASURE_JET_AUTO_LENGTH_SCALE_FACTOR]).

double_penalty: bool

Add an affine-preserving shrinkage penalty alongside the jet-energy penalty.

learn_length_scale: bool

REML-learn the representer range ℓ as a design-moving outer dial (opt-in), mirroring Matérn’s log_kappa. The Gaussian kernel is strictly PD for every ℓ > 0, so ℓ does NOT change the basis rank (always m centers) — but it changes WHICH m-dim subspace the representers span, i.e. the span alignment with the true surface. The stable default freezes ℓ at the auto/user value; true enrolls the outer coordinate for experiments that need REML-selected representer range.

multiscale: bool

Explicit opt-in for multiscale mode: the per-scale spectral penalty split plus the (α, ln τ) outer ψ dials and the affine-preserving ridge. false (default) keeps the term in single-scale mode at ANY center count — one fused jet-energy penalty, the one-λ Duchon/Matérn footprint. There is no center-count auto-gate; the user opts in via mjs(…, multiscale=true). Persisted on the spec so freeze→replay re-enters the same mode.

identifiability: MeasureJetIdentifiability

Realized-design identifiability policy (see type docs).

frozen_quadrature: Option<MeasureJetFrozenQuadrature>

Fit-time quadrature replay (see type docs). None at fit time; Some on the frozen predict/ψ-trial path.

Trait Implementations

impl Clone for MeasureJetBasisSpec

fn clone(&self) -> MeasureJetBasisSpec

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for MeasureJetBasisSpec

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for MeasureJetBasisSpec

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for MeasureJetBasisSpec

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for MeasureJetBasisSpec

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.