Trait Regularizer 

pub trait Regularizer<A, D>
where
    A: Float + ScalarOperand + Debug,
    D: Dimension,
{
    // Required methods
    fn apply(
        &self,
        params: &Array<A, D>,
        gradients: &mut Array<A, D>,
    ) -> Result<A>;
    fn penalty(&self, params: &Array<A, D>) -> Result<A>;
}

Trait for regularizers that can be applied to parameters and gradients

Required Methods

fn apply(&self, params: &Array<A, D>, gradients: &mut Array<A, D>) -> Result<A>

Apply regularization to parameters and gradients

Arguments

• params - The parameters to regularize
• gradients - The gradients to modify

Returns

The regularization penalty value

fn penalty(&self, params: &Array<A, D>) -> Result<A>

Compute the regularization penalty value

Arguments

• params - The parameters to compute the penalty for

Returns

The regularization penalty value

Implementors

impl<A, D> Regularizer<A, D> for ActivityRegularization<A>

where A: Float + ScalarOperand + Debug + FromPrimitive + Send + Sync, D: Dimension,

impl<A, D> Regularizer<A, D> for Dropout<A>

where A: Float + ScalarOperand + Debug + Send + Sync, D: Dimension<Pattern = D>,

impl<A, D> Regularizer<A, D> for ElasticNet<A>

where A: Float + ScalarOperand + Debug, D: Dimension,

impl<A, D> Regularizer<A, D> for EntropyRegularization<A>

where A: Float + ScalarOperand + Debug + FromPrimitive + Send + Sync, D: Dimension,

impl<A, D> Regularizer<A, D> for L1<A>

where A: Float + ScalarOperand + Debug, D: Dimension,

impl<A, D> Regularizer<A, D> for L2<A>

where A: Float + ScalarOperand + Debug, D: Dimension,

impl<A: Float + Debug + ScalarOperand + Send + Sync, D: Dimension + Send + Sync> Regularizer<A, D> for DropConnect<A>

impl<A: Float + Debug + ScalarOperand + Send + Sync, D: Dimension + RemoveAxis + Send + Sync> Regularizer<A, D> for FeatureDropout<A>

impl<A: Float + Debug + ScalarOperand + Send + Sync, D: Dimension + RemoveAxis + Send + Sync> Regularizer<A, D> for SpatialDropout<A>

impl<A: Float + Debug + ScalarOperand + FromPrimitive + Send + Sync, D: Dimension + Send + Sync> Regularizer<A, D> for ManifoldRegularization<A>

impl<A: Float + Debug + ScalarOperand + FromPrimitive + Send + Sync, D: Dimension + Send + Sync> Regularizer<A, D> for OrthogonalRegularization<A>

impl<A: Float + Debug + ScalarOperand + FromPrimitive + Send + Sync, D: Dimension + Send + Sync> Regularizer<A, D> for WeightStandardization<A>

impl<A: Float + Debug + ScalarOperand + FromPrimitive, D: Dimension + Send + Sync> Regularizer<A, D> for CutMix<A>

impl<A: Float + Debug + ScalarOperand + FromPrimitive, D: Dimension + Send + Sync> Regularizer<A, D> for LabelSmoothing<A>

impl<A: Float + Debug + ScalarOperand + FromPrimitive, D: Dimension + Send + Sync> Regularizer<A, D> for MixUp<A>

impl<A: Float + Debug + ScalarOperand + FromPrimitive, D: Dimension + Send + Sync> Regularizer<A, D> for SpectralNorm<A>

impl<A: Float + Debug + ScalarOperand + FromPrimitive, D: Dimension + Send + Sync> Regularizer<A, D> for StochasticDepth<A>

impl<A: Float + FromPrimitive + Debug + ScalarOperand, D: Dimension + Send + Sync> Regularizer<A, D> for ShakeDrop<A>