Struct AccuracyMetrics 

pub struct AccuracyMetrics {
    pub model_type: String,
    pub measurement: String,
    pub version: String,
    pub mape: f64,
    pub rmse: f64,
    pub mae: f64,
    pub mase: Option<f64>,
    pub n_points: usize,
    pub evaluated_at: i64,
}

Accuracy metrics for a forecast model.

Fields

model_type: String

Model type name.

measurement: String

Measurement name.

version: String

Model version or identifier.

mape: f64

Mean Absolute Percentage Error.

rmse: f64

Root Mean Square Error.

mae: f64

Mean Absolute Error.

mase: Option<f64>

Mean Absolute Scaled Error (MASE) — scale-independent metric recommended by Hyndman & Koehler (2006). Uses in-sample naive forecast errors as the scaling denominator. None when no training data is provided or when the naive MAE is zero.

n_points: usize

Number of data points evaluated.

evaluated_at: i64

Evaluation timestamp (nanos since epoch).

Implementations

impl AccuracyMetrics

pub fn emit_prometheus(&self)

Emit Prometheus metrics.

Trait Implementations

impl Clone for AccuracyMetrics

fn clone(&self) -> AccuracyMetrics

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AccuracyMetrics

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for AccuracyMetrics

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for AccuracyMetrics

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

where __S: Serializer,

Serialize this value into the given Serde serializer.