Struct PhaseTrainer 

pub struct PhaseTrainer { /* private fields */ }

Trainer state for deterministic phase training

Implementations

impl PhaseTrainer

pub fn new(config: PhaseTrainingConfig) -> Result<Self, String>

Create a new phase trainer

Errors

Returns an error if:

• config.correct_every is 0
• All step counts (warmup, full, predict) are 0

pub fn current_phase(&self) -> TrainingPhase

Get the current training phase

pub fn begin_step(&mut self) -> TrainingPhase

Begin a training step, returning the current phase

pub fn should_compute_full(&self) -> bool

Check if full gradients should be computed

pub fn record_predicted_step(&mut self)

Record that a predicted gradient step was taken

pub fn record_gradients(&mut self, gradients: Vec<f64>)

Record full gradients for history

pub fn get_predicted_gradients(&self, param_count: usize) -> Vec<f64>

Get predicted gradients using closed-form least squares

This uses a weighted average of historical gradients, with more recent gradients weighted higher. This is a simplified version of the full vsa-optim-rs prediction.

pub fn end_step(&mut self, loss: f64)

End a training step

pub fn stats(&self) -> &PhaseTrainingStats

Get training statistics

pub fn finalize(&mut self) -> PhaseTrainingStats

Finalize training and compute final stats

Trait Implementations

impl Debug for PhaseTrainer

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

Formats the value using the given formatter.