[][src]Trait lfa::basis::Combinators

pub trait Combinators {
    fn stack<T>(self, other: T) -> Stack<Self, T>
    where
        Self: Sized
, { ... }
fn with_bias(self) -> Stack<Self, Bias>
    where
        Self: Sized
, { ... }
fn normalise_l0(self) -> L0Normaliser<Self>
    where
        Self: Sized
, { ... }
fn normalise_l1(self) -> L1Normaliser<Self>
    where
        Self: Sized
, { ... }
fn normalise_l2(self) -> L2Normaliser<Self>
    where
        Self: Sized
, { ... }
fn normalise_linf(self) -> LinfNormaliser<Self>
    where
        Self: Sized
, { ... } }

Provided methods

fn stack<T>(self, other: T) -> Stack<Self, T> where
    Self: Sized

Return a stack of this Basis over another.

fn with_bias(self) -> Stack<Self, Bias> where
    Self: Sized

Return the a stack of this Basis with a single constant feature term.

fn normalise_l0(self) -> L0Normaliser<Self> where
    Self: Sized

Return the original Basis with all activations normalised in L₀.

fn normalise_l1(self) -> L1Normaliser<Self> where
    Self: Sized

Return the original Basis with all activations normalised in L₁.

fn normalise_l2(self) -> L2Normaliser<Self> where
    Self: Sized

Return the original Basis with all activations normalised in L₂.

fn normalise_linf(self) -> LinfNormaliser<Self> where
    Self: Sized

Return the original Basis with all activations normalised in L∞.

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Implementors

impl Combinators for Bias[src]

impl Combinators for Chebyshev[src]

impl Combinators for Fourier[src]

impl Combinators for Polynomial[src]

impl Combinators for UniformGrid[src]

impl<B> Combinators for L0Normaliser<B>[src]

impl<B> Combinators for L1Normaliser<B>[src]

impl<B> Combinators for L2Normaliser<B>[src]

impl<B> Combinators for LinfNormaliser<B>[src]

impl<B1: Combinators, B2: Combinators> Combinators for Stack<B1, B2>[src]

impl<C, K> Combinators for KernelBasis<C, K>[src]

impl<F> Combinators for Closure<F>[src]

impl<H: BuildHasher> Combinators for TileCoding<H>[src]

impl<T> Combinators for Fixed<T>[src]

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