Enum NormalizationMethod 

#[non_exhaustive]
pub enum NormalizationMethod {
    Center,
    Autoscale,
    Pareto,
    Range,
    CurveCenter,
    CurveStandardize,
    CurveRange,
    CurveLp(f64),
}

Normalization method for functional data.

Variants (Non-exhaustive)

Non-exhaustive enums could have additional variants added in future. Therefore, when matching against variants of non-exhaustive enums, an extra wildcard arm must be added to account for any future variants.

Center

Center columns (subtract per-time-point mean across curves).

Autoscale

Autoscale columns (center + divide by per-time-point std dev). UV scaling.

Pareto

Pareto scaling (center + divide by sqrt of per-time-point std dev).

Range

Range scaling (center + divide by per-time-point range).

CurveCenter

Per-curve centering (subtract each curve’s own mean).

CurveStandardize

Per-curve standardization (subtract mean, divide by std dev per curve).

CurveRange

Per-curve range normalization to [0, 1].

CurveLp(f64)

Per-curve Lp normalization: divide each curve by its Lp norm.

Common choices: p = 1.0 (L1), p = 2.0 (L2 / unit sphere), p = f64::INFINITY (L-inf / max-norm). Requires argvals for integration — use normalize_with_argvals instead of normalize.

Trait Implementations

impl Clone for NormalizationMethod

fn clone(&self) -> NormalizationMethod

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for NormalizationMethod

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

Formats the value using the given formatter.

impl PartialEq for NormalizationMethod

fn eq(&self, other: &NormalizationMethod) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for NormalizationMethod

impl StructuralPartialEq for NormalizationMethod