Struct rusty_ai::regression::linear::LinearRegression

pub struct LinearRegression<T: RealNumber> { /* private fields */ }

Implementations

impl<T: RealNumber> LinearRegression<T>

pub fn new() -> Self

pub fn with_params( dimension: Option<usize>, weights: Option<DVector<T>> ) -> Result<Self, Box<dyn Error>>

pub fn weights(&self) -> &DVector<T>

pub fn predict(&self, x_pred: &DMatrix<T>) -> Result<DVector<T>, Box<dyn Error>>

pub fn fit( &mut self, dataset: &Dataset<T, T>, lr: T, max_steps: usize, epsilon: Option<T>, progress: Option<usize> ) -> Result<String, Box<dyn Error>>

Trait Implementations

impl<T: Clone + RealNumber> Clone for LinearRegression<T>

fn clone(&self) -> LinearRegression<T>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<T: Debug + RealNumber> Debug for LinearRegression<T>

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

Formats the value using the given formatter.

impl<T: RealNumber> Default for LinearRegression<T>

fn default() -> Self

Returns the “default value” for a type.

impl<T: RealNumber> RegressionMetrics<T> for LinearRegression<T>

fn mse( &self, y_true: &DVector<T>, y_pred: &DVector<T> ) -> Result<T, Box<dyn Error>>

fn mae( &self, y_true: &DVector<T>, y_pred: &DVector<T> ) -> Result<T, Box<dyn Error>>

fn r2( &self, y_true: &DVector<T>, y_pred: &DVector<T> ) -> Result<T, Box<dyn Error>>