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Loss

kizzasi_core::training_loop

Struct Loss

pub struct Loss;

Expand description

Loss functions for training

Implementations§

impl Loss

pub fn mse(predictions: &Tensor, targets: &Tensor) -> CoreResult<Tensor>

Mean Squared Error loss

pub fn mae(predictions: &Tensor, targets: &Tensor) -> CoreResult<Tensor>

Mean Absolute Error loss

pub fn huber( predictions: &Tensor, targets: &Tensor, delta: f64, ) -> CoreResult<Tensor>

Huber loss (smooth L1 loss)

pub fn cross_entropy(logits: &Tensor, targets: &Tensor) -> CoreResult<Tensor>

Cross-entropy loss for classification

Auto Trait Implementations§

impl Freeze for Loss

impl RefUnwindSafe for Loss

impl Send for Loss

impl Sync for Loss

impl Unpin for Loss

impl UnsafeUnpin for Loss

impl UnwindSafe for Loss

Blanket Implementations§

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