Struct SGBTConfigBuilder 

pub struct SGBTConfigBuilder { /* private fields */ }

Available on crate feature alloc only.

Builder for SGBTConfig with validation on build().

Implementations

impl SGBTConfigBuilder

pub fn n_steps(self, n: usize) -> Self

Set the number of boosting steps (trees).

pub fn learning_rate(self, lr: f64) -> Self

Set the learning rate (shrinkage).

pub fn feature_subsample_rate(self, rate: f64) -> Self

Set the feature subsampling rate (0.0..=1.0).

pub fn max_depth(self, depth: usize) -> Self

Set the maximum tree depth.

pub fn n_bins(self, bins: usize) -> Self

Set the number of histogram bins per feature.

pub fn lambda(self, l: f64) -> Self

Set the L2 regularization coefficient on leaf values.

pub fn gamma(self, g: f64) -> Self

Set the minimum split gain (gamma).

pub fn grace_period(self, gp: usize) -> Self

Set the Hoeffding bound grace period (minimum samples before splits).

pub fn delta(self, d: f64) -> Self

Set the Hoeffding bound confidence parameter.

pub fn drift_detector(self, dt: DriftDetectorType) -> Self

Set the drift detector configuration.

pub fn variant(self, v: SGBTVariant) -> Self

Set the algorithm variant.

pub fn seed(self, seed: u64) -> Self

Set the random seed.

pub fn initial_target_count(self, count: usize) -> Self

Set the number of targets to buffer before fixing the base prediction.

pub fn leaf_half_life(self, n: usize) -> Self

Set the leaf value exponential half-life in samples.

pub fn max_tree_samples(self, n: u64) -> Self

Set the maximum samples per tree before replacement.

pub fn adaptive_mts(self, base_mts: u64, k: f64) -> Self

Set adaptive MTS parameters: warmup samples and percentile.

pub fn adaptive_mts_floor(self, fraction: f64) -> Self

Set the floor on the adaptive MTS threshold.

pub fn proactive_prune_interval(self, interval: u64) -> Self

Set the proactive pruning interval in samples.

pub fn split_reeval_interval(self, n: usize) -> Self

Set the split re-evaluation interval in samples.

pub fn feature_names(self, names: Vec<String>) -> Self

Set human-readable feature names (used in diagnostics).

pub fn feature_types(self, types: Vec<FeatureType>) -> Self

Set per-feature type hints (continuous vs. categorical).

pub fn gradient_clip_sigma(self, sigma: f64) -> Self

Set gradient clipping sigma multiplier.

pub fn monotone_constraints(self, constraints: Vec<i8>) -> Self

Set per-feature monotonicity constraints (1, -1, or 0).

pub fn quality_prune_alpha(self, alpha: f64) -> Self

Set quality pruning significance level (alpha).

pub fn quality_prune_threshold(self, threshold: f64) -> Self

Set minimum EWMA contribution for quality pruning survival.

pub fn quality_prune_patience(self, patience: u64) -> Self

Set consecutive low-contribution patience before quality pruning.

pub fn error_weight_alpha(self, alpha: f64) -> Self

Set error-weighted sample importance EWMA alpha.

pub fn uncertainty_modulated_lr(self, enabled: bool) -> Self

Enable or disable uncertainty-modulated learning rate.

pub fn scale_mode(self, mode: ScaleMode) -> Self

Set the scale mode for distributional SGBT.

pub fn empirical_sigma_alpha(self, alpha: f64) -> Self

Set the EWMA alpha for empirical sigma estimation.

pub fn max_leaf_output(self, max: f64) -> Self

Set the maximum absolute leaf output (clamp).

pub fn adaptive_leaf_bound(self, k: f64) -> Self

Set the adaptive leaf output bound multiplier.

pub fn adaptive_depth(self, factor: f64) -> Self

Set the adaptive depth fractional limit.

pub fn min_hessian_sum(self, min_h: f64) -> Self

Set the minimum hessian sum required to accept a split.

pub fn huber_k(self, k: f64) -> Self

Set the Huber loss delta override.

pub fn shadow_warmup(self, warmup: usize) -> Self

Set the shadow warmup samples before tree replacement.

pub fn leaf_model_type(self, lmt: LeafModelType) -> Self

Set the leaf model type (constant, linear, MLP).

pub fn packed_refresh_interval(self, interval: u64) -> Self

Set the packed-node cache refresh interval in samples.

pub fn hoeffding_r(self, r: f64) -> Self

Override the Hoeffding bound range R (default 1.0).

pub fn build(self) -> Result<SGBTConfig>

Validate and build the configuration.

Trait Implementations

impl Clone for SGBTConfigBuilder

fn clone(&self) -> SGBTConfigBuilder

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SGBTConfigBuilder

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

Formats the value using the given formatter.

impl Default for SGBTConfigBuilder

fn default() -> SGBTConfigBuilder

Returns the “default value” for a type.