Trait TableAccess

Source

pub trait TableAccess: Sync {
Show 14 methods    // Required methods
    fn n_rows(&self) -> usize;
    fn n_features(&self) -> usize;
    fn canaries(&self) -> usize;
    fn numeric_bin_cap(&self) -> usize;
    fn binned_feature_count(&self) -> usize;
    fn feature_value(&self, feature_index: usize, row_index: usize) -> f64;
    fn is_missing(&self, feature_index: usize, row_index: usize) -> bool;
    fn is_binary_feature(&self, index: usize) -> bool;
    fn binned_value(&self, feature_index: usize, row_index: usize) -> u16;
    fn binned_boolean_value(
        &self,
        feature_index: usize,
        row_index: usize,
    ) -> Option<bool>;
    fn binned_column_kind(&self, index: usize) -> BinnedColumnKind;
    fn is_binary_binned_feature(&self, index: usize) -> bool;
    fn target_value(&self, row_index: usize) -> f64;

    // Provided method
    fn is_canary_binned_feature(&self, index: usize) -> bool { ... }
}

Expand description

Common interface consumed by tree trainers and predictors.

The trait exposes both raw floating-point values and pre-binned values. Training mostly works on the binned representation for speed and predictable threshold semantics; the raw values are still available for export and some user-facing reconstruction tasks.