Struct FormulaPredictorBlock 

pub struct FormulaPredictorBlock { /* private fields */ }

Formula predictor composed from a dense linear design, optional row offsets, and nonlinear monotone spline segments.

Implementations

impl FormulaPredictorBlock

pub fn dense(&self) -> &DenseDesign

Returns the dense linear part.

Trait Implementations

impl Clone for FormulaPredictorBlock

fn clone(&self) -> FormulaPredictorBlock

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for FormulaPredictorBlock

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

Formats the value using the given formatter.

impl PartialEq for FormulaPredictorBlock

fn eq(&self, other: &FormulaPredictorBlock) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl PredictorBlock for FormulaPredictorBlock

fn nrows(&self) -> usize

Number of observations.

fn nparams(&self) -> usize

Number of local coefficients consumed by this block.

fn eta_row(&self, row: usize, beta: &[f64]) -> f64

Predictor contribution for one row.

fn add_gradient(&self, scores: &[f64], beta: &[f64], grad: &mut [f64])

Adds the gradient contribution implied by scores into grad.

fn add_weighted_gradient( &self, scores: &[f64], multiplier: &[f64], beta: &[f64], grad: &mut [f64], )

Adds the gradient contribution implied by scores * multiplier into grad.

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

Validates internal block consistency.

impl StructuralPartialEq for FormulaPredictorBlock