Struct CheckpointCallback 

pub struct CheckpointCallback {
    pub checkpoint_dir: PathBuf,
    pub save_frequency: usize,
    pub save_best_only: bool,
    /* private fields */
}

Callback for model checkpointing.

Fields

checkpoint_dir: PathBuf

Directory to save checkpoints.

save_frequency: usize

Frequency of checkpointing (every N epochs).

save_best_only: bool

Whether to save only the best model.

Implementations

impl CheckpointCallback

pub fn new( checkpoint_dir: PathBuf, save_frequency: usize, save_best_only: bool, ) -> Self

Create a new checkpoint callback.

Trait Implementations

impl Callback for CheckpointCallback

fn on_epoch_end( &mut self, epoch: usize, state: &TrainingState, ) -> TrainResult<()>

Called at the end of an epoch.

fn on_train_begin(&mut self, _state: &TrainingState) -> TrainResult<()>

Called at the beginning of training.

fn on_train_end(&mut self, _state: &TrainingState) -> TrainResult<()>

Called at the end of training.

fn on_epoch_begin( &mut self, _epoch: usize, _state: &TrainingState, ) -> TrainResult<()>

Called at the beginning of an epoch.

fn on_batch_begin( &mut self, _batch: usize, _state: &TrainingState, ) -> TrainResult<()>

Called at the beginning of a batch.

fn on_batch_end( &mut self, _batch: usize, _state: &TrainingState, ) -> TrainResult<()>

Called at the end of a batch.

fn on_validation_end(&mut self, _state: &TrainingState) -> TrainResult<()>

Called after validation.

fn should_stop(&self) -> bool

Check if training should stop early.