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MseAttackLoss

tensorlogic_train::adversarial

Struct MseAttackLoss

pub struct MseAttackLoss;

Expand description

Mean-squared-error loss for regression attacks.

loss = mean((predictions − labels)²)
grad = 2 · (predictions − labels) / n

Trait Implementations§

impl AttackLoss for MseAttackLoss

fn loss(&self, predictions: &[f64], labels: &[f64]) -> f64

Compute the scalar loss value.

fn grad(&self, predictions: &[f64], labels: &[f64]) -> Vec<f64>

Compute the gradient of the loss with respect to predictions.

Auto Trait Implementations§

impl Freeze for MseAttackLoss

impl RefUnwindSafe for MseAttackLoss

impl Send for MseAttackLoss

impl Sync for MseAttackLoss

impl Unpin for MseAttackLoss

impl UnsafeUnpin for MseAttackLoss

impl UnwindSafe for MseAttackLoss

Blanket Implementations§

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