Struct UncertaintyResult 

pub struct UncertaintyResult {
    pub predictions: Array1<Float>,
    pub total_uncertainty: Array1<Float>,
    pub epistemic_uncertainty: Option<Array1<Float>>,
    pub aleatoric_uncertainty: Option<Array1<Float>>,
    pub lower_bound: Array1<Float>,
    pub upper_bound: Array1<Float>,
    pub confidence_level: Float,
    pub method: String,
}

Results of uncertainty quantification

Fields

predictions: Array1<Float>

Predicted mean values

total_uncertainty: Array1<Float>

Total predictive uncertainty (standard deviation)

epistemic_uncertainty: Option<Array1<Float>>

Epistemic uncertainty (model uncertainty)

aleatoric_uncertainty: Option<Array1<Float>>

Aleatoric uncertainty (data uncertainty)

lower_bound: Array1<Float>

Lower bound of prediction interval

upper_bound: Array1<Float>

Upper bound of prediction interval

confidence_level: Float

Confidence level used

method: String

Method used for uncertainty quantification

Implementations

impl UncertaintyResult

pub fn interval_width(&self) -> Array1<Float>

Compute prediction interval width

pub fn coverage(&self, y_true: &Array1<Float>) -> Result<Float>

Check if true values fall within prediction intervals

pub fn mean_interval_width(&self) -> Float

Compute mean interval width

Trait Implementations

impl Clone for UncertaintyResult

fn clone(&self) -> UncertaintyResult

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for UncertaintyResult

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

Formats the value using the given formatter.