Struct HoltLinearModel 

pub struct HoltLinearModel { /* private fields */ }

Holt’s Linear Trend model with optional damping.

Implementations

impl HoltLinearModel

pub fn new(alpha: Option<f64>, beta: Option<f64>, phi: f64) -> Self

Creates a new Holt’s Linear Trend model.

phi is the damping factor (0.8–1.0). Use 1.0 for no damping.

Trait Implementations

impl<'de> Deserialize<'de> for HoltLinearModel

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl ForecastModel for HoltLinearModel

fn fit( &mut self, timestamps: &[i64], values: &[f64], ) -> Result<(), ForecastError>

Fit the model on historical data.

fn predict(&self, horizon: usize) -> Result<ForecastResult, ForecastError>

Predict horizon steps ahead.

fn update(&mut self, timestamp: i64, value: f64) -> Result<(), ForecastError>

Online update with a single new observation.

fn model_type(&self) -> ModelType

Returns the model type.

fn params(&self) -> &ModelParams

Returns the fitted parameters.

impl ModelStore for HoltLinearModel

fn to_bytes(&self) -> Result<Vec<u8>, StorageError>

Serializes this model to a byte vector.

fn from_bytes(bytes: &[u8]) -> Result<Self, StorageError>

where Self: Sized,

Deserializes a model from bytes.

impl Serialize for HoltLinearModel

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

where __S: Serializer,

Serialize this value into the given Serde serializer.