Struct FunctionalRegression 

pub struct FunctionalRegression { /* private fields */ }

Scalar-on-function regression estimator.

Implementations

impl FunctionalRegression

pub fn new(config: FofConfig) -> Self

Create a new estimator with the given configuration.

pub fn fit( &mut self, data: &[Vec<f64>], response: &[f64], grid: &[f64], ) -> StatsResult<FofResult>

Fit the model.

Arguments

• data – observed functional predictors, shape (n_obs, n_time). Each row is a discretised curve X_i(t).
• response – scalar response values, length n_obs.
• grid – time points at which the curves are observed, length n_time.

Errors

Returns StatsError when dimensions are inconsistent, n_time < 2, n_obs < n_basis + 1, or the penalised system is singular.

pub fn predict( &self, new_data: &[Vec<f64>], grid: &[f64], ) -> StatsResult<Vec<f64>>

Predict scalar responses for new functional observations.

Arguments

• new_data – new functional observations, shape (n_new, n_time).
• grid – the same time grid used during fit.

Errors

Returns StatsError if the model has not been fitted yet, or if dimension mismatches exist.

Trait Implementations

impl Clone for FunctionalRegression

fn clone(&self) -> FunctionalRegression

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for FunctionalRegression

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

Formats the value using the given formatter.