Struct LinearRegression 

pub struct LinearRegression { /* private fields */ }

Linear regression kernel.

Ordinary Least Squares regression using the normal equations: β = (X^T X)^(-1) X^T y

Implementations

impl LinearRegression

pub fn new() -> Self

Create a new linear regression kernel.

pub fn compute( x: &DataMatrix, y: &[f64], fit_intercept: bool, ) -> RegressionResult

Fit linear regression model.

Arguments

• x - Feature matrix (n_samples x n_features)
• y - Target vector (n_samples)
• fit_intercept - Whether to fit an intercept term

Trait Implementations

impl Clone for LinearRegression

fn clone(&self) -> LinearRegression

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LinearRegression

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

Formats the value using the given formatter.

impl Default for LinearRegression

fn default() -> Self

Returns the “default value” for a type.

impl GpuKernel for LinearRegression

fn metadata(&self) -> &KernelMetadata

Returns the kernel metadata.

fn validate(&self) -> Result<(), KernelError>

Validate kernel configuration.

fn id(&self) -> &str

Returns the kernel ID.

fn requires_gpu_native(&self) -> bool

Returns true if this kernel requires GPU-native execution.

fn health_check(&self) -> HealthStatus

Perform a health check on this kernel.

fn shutdown(&self) -> Result<(), KernelError>

Graceful shutdown of the kernel.

fn refresh_config(&mut self, _config: &KernelConfig) -> Result<(), KernelError>

Refresh kernel configuration at runtime.