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Tunable

irithyll_core::learner

Trait Tunable 

Source 
pub trait Tunable: StreamingLearner {
    // Required methods
    fn diagnostics_array(&self) -> [f64; 5];
    fn adjust_config(&mut self, lr_multiplier: f64, lambda_delta: f64);
}
Available on crate feature alloc only.
Expand description

Models that expose diagnostics and accept smooth hyperparameter adjustments.

Implemented by models touched by AutoML components: SGBT, DistributionalSGBT, RLS, KAN, TTT, ESN, mGRADE, and any model with tunable LR or regularization.

§Object Safety

This trait is object-safe. Box<dyn Tunable> is a legal type.

Required Methods§

Source

fn diagnostics_array(&self) -> [f64; 5]

Raw diagnostic signals for adaptive tuning.

Returns [residual_alignment, reg_sensitivity, depth_sufficiency, effective_dof, uncertainty]. These five signals drive the diagnostic adaptor in the AutoML pipeline.

Source

fn adjust_config(&mut self, lr_multiplier: f64, lambda_delta: f64)

Apply smooth learning rate and regularization adjustments.

  • lr_multiplier – scales the current learning rate (1.0 = no change, 0.99 = 1% decrease, 1.01 = 1% increase).
  • lambda_delta – additive delta applied to the L2 regularization parameter (0.0 = no change, positive = increase regularization).

Implementors§