Struct Sample 

pub struct Sample {
    pub features: Vec<f64>,
    pub target: f64,
    pub weight: f64,
}

A single observation with feature vector and target value.

For regression, target is the continuous value to predict. For binary classification, target is 0.0 or 1.0. For multi-class, target is the class index as f64 (0.0, 1.0, 2.0, …).

Fields

features: Vec<f64>

Feature values for this observation.

target: f64

Target value (regression) or class label (classification).

weight: f64

Optional sample weight (default 1.0).

Implementations

impl Sample

pub fn new(features: Vec<f64>, target: f64) -> Self

Create a new sample with unit weight.

pub fn weighted(features: Vec<f64>, target: f64, weight: f64) -> Self

Create a new sample with explicit weight.

pub fn n_features(&self) -> usize

Number of features in this sample.

Trait Implementations

impl Clone for Sample

fn clone(&self) -> Sample

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Sample

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Sample

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Display for Sample

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

Formats the value using the given formatter.

impl From<(Vec<f64>, f64)> for Sample

fn from((features, target): (Vec<f64>, f64)) -> Self

Converts to this type from the input type.

impl Observation for &Sample

fn features(&self) -> &[f64]

The feature values for this observation.

fn target(&self) -> f64

The target value (regression) or class label (classification).

fn weight(&self) -> f64

Optional sample weight. Defaults to 1.0 (uniform).

impl Observation for Sample

fn features(&self) -> &[f64]

The feature values for this observation.

fn target(&self) -> f64

The target value (regression) or class label (classification).

fn weight(&self) -> f64

Optional sample weight. Defaults to 1.0 (uniform).

impl Serialize for Sample

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

where __S: Serializer,

Serialize this value into the given Serde serializer.