Struct ScoreEstimate 

#[non_exhaustive]
pub struct ScoreEstimate {
    pub score: LinearScore,
    pub predictions: Vec<(&'static str, Array1<f64>)>,
    pub sensitivity: Option<SensitivityParts>,
}

Score elements plus the cross-fitted nuisance predictions behind them.

Build it with ScoreEstimate::new (the struct is #[non_exhaustive], so fields can be added without breaking custom models).

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

score: LinearScore

predictions: Vec<(&'static str, Array1<f64>)>

(name, out-of-fold predictions) — e.g. ("ml_l", ℓ̂).

sensitivity: Option<SensitivityParts>

Ingredients for sensitivity analysis, if the model supports it.

Implementations

impl ScoreEstimate

pub fn new( score: LinearScore, predictions: Vec<(&'static str, Array1<f64>)>, ) -> Self

pub fn with_sensitivity(self, parts: SensitivityParts) -> Self

Attach the model’s sensitivity ingredients.

Trait Implementations

impl Clone for ScoreEstimate

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ScoreEstimate

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

Formats the value using the given formatter.