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

Dyn Compatibility

This trait is dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety".

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 GroupLasso<A>

where A: Float + ScalarOperand + Debug, 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, D> Regularizer<A, D> for StructuredSparsity<A>

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

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 + 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 + Send + Sync, D: Dimension + Send + Sync> Regularizer<A, D> for DropConnect<A>

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