Struct RegressionInput 

pub struct RegressionInput {
    pub x: DataMatrix,
    pub y: Vec<f64>,
    pub fit_intercept: bool,
    pub alpha: Option<f64>,
}

Regression input for batch execution.

Fields

x: DataMatrix

Feature matrix X (n_samples x n_features).

y: Vec<f64>

Target vector y (n_samples).

fit_intercept: bool

Whether to fit intercept.

alpha: Option<f64>

Regularization parameter (for Ridge regression).

Implementations

impl RegressionInput

pub fn new(x: DataMatrix, y: Vec<f64>) -> Self

Create a new regression input.

pub fn with_ridge(self, alpha: f64) -> Self

Enable Ridge regularization with given alpha.

Trait Implementations

impl Clone for RegressionInput

fn clone(&self) -> RegressionInput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for RegressionInput

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for RegressionInput

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for RegressionInput

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

where __S: Serializer,

Serialize this value into the given Serde serializer.