Struct lfa::LFA

pub struct LFA<I: ?Sized, P: Projector<I>, A: Approximator<Projection>> {
    pub projector: P,
    pub approximator: A,
    // some fields omitted
}

Fields

projector: P

approximator: A

Methods

impl<I: ?Sized, P: Projector<I>, A: Approximator<Projection>> LFA<I, P, A>

pub fn new(projector: P, approximator: A) -> Self

impl<I: ?Sized, P: Projector<I>> LFA<I, P, Simple>

pub fn simple(projector: P) -> Self

impl<I: ?Sized, P: Projector<I>> LFA<I, P, Multi>

pub fn multi(projector: P, n_outputs: usize) -> Self

Trait Implementations

impl<I: Clone + ?Sized, P: Clone + Projector<I>, A: Clone + Approximator<Projection>> Clone for LFA<I, P, A>

fn clone(&self) -> LFA<I, P, A>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<I: ?Sized, P: Projector<I>, A: Approximator<Projection>> Approximator<I> for LFA<I, P, A>

type Value = A::Value

fn evaluate(&self, input: &I) -> EvaluationResult<Self::Value>

Evaluate the function and return its value.

fn update(&mut self, input: &I, update: Self::Value) -> UpdateResult<()>

Update the approximator's estimate for the given input.

fn adapt(     &mut self,     new_features: &HashMap<IndexT, IndexSet> ) -> AdaptResult<usize>

Adapt the approximator in light of newly discovered features.

impl<I, P, A> Parameterised for LFA<I, P, A> where     I: ?Sized,     P: Projector<I>,     A: Approximator<Projection> + Parameterised,

fn weights(&self) -> Matrix<f64>

Return a copy of the approximator weights.