Struct ExternalPredictions 

pub struct ExternalPredictions { /* private fields */ }

Out-of-fold nuisance predictions supplied by the user, as DoubleML’s external_predictions: per treatment and learner name (e.g. "ml_l", "ml_m"), one column per sample-splitting repetition. Learners with external predictions are not fitted, and have no out-of-sample loss.

Implementations

impl ExternalPredictions

pub fn new() -> Self

pub fn with( self, treatment: usize, name: impl Into<String>, predictions: Array2<f64>, ) -> Self

Predictions of learner name for treatment treatment (0 for a single treatment), shape (n_obs, n_rep).

pub fn with_vector( self, treatment: usize, name: impl Into<String>, predictions: Array1<f64>, ) -> Self

One repetition: predictions as a vector.

Trait Implementations

impl Clone for ExternalPredictions

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ExternalPredictions

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

Formats the value using the given formatter.

impl Default for ExternalPredictions

fn default() -> Self

Returns the “default value” for a type.