Struct TransferLearningManager 

pub struct TransferLearningManager<T: FloatBounds> { /* private fields */ }

Transfer learning manager for handling model adaptation

Implementations

impl<T: FloatBounds + ScalarOperand> TransferLearningManager<T>

pub fn new(config: TransferConfig<T>) -> Self

Create a new transfer learning manager

pub fn freeze_layers(&mut self, layer_names: &[String]) -> NeuralResult<()>

Freeze specific layers in a model

pub fn unfreeze_layers(&mut self, layer_names: &[String]) -> NeuralResult<()>

Unfreeze specific layers in a model

pub fn is_layer_frozen(&self, layer_name: &str) -> bool

Check if a layer is frozen

pub fn get_layer_lr_multiplier(&self, layer_name: &str) -> T

Get learning rate multiplier for a layer

pub fn update_epoch(&mut self, epoch: usize) -> NeuralResult<()>

Update epoch and apply scheduling

pub fn apply_discriminative_learning_rates( &mut self, layer_names: &[String], ) -> NeuralResult<()>

Apply discriminative learning rates

pub fn record_metrics(&mut self, metrics: TransferMetrics<T>)

Record training metrics

pub fn get_training_history(&self) -> &[TransferMetrics<T>]

Get training history

pub fn calculate_transfer_effectiveness(&self) -> Option<T>

Calculate transfer learning effectiveness

Trait Implementations

impl<T: Clone + FloatBounds> Clone for TransferLearningManager<T>

fn clone(&self) -> TransferLearningManager<T>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<T: Debug + FloatBounds> Debug for TransferLearningManager<T>

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

Formats the value using the given formatter.