Trait rsrl::fa::Approximator

pub trait Approximator<I>where
    I: ?Sized,{
    type Value;

    fn evaluate(&self, input: &I) -> Result<Self::Value, EvaluationError>;
    fn update(
        &mut self,
        input: &I,
        update: Self::Value
    ) -> Result<(), UpdateError>;

    fn adapt(
        &mut self,
        new_features: &HashMap<usize, BTreeSet<usize, Global>, RandomState>
    ) -> Result<usize, AdaptError> { ... }
}

An interface for function approximators.

Required Associated Types

type Value

Required Methods

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

Evaluate the function and return its value.

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

Update the approximator’s estimate for the given input.

Provided Methods

fn adapt(
    &mut self,
    new_features: &HashMap<usize, BTreeSet<usize, Global>, RandomState>
) -> Result<usize, AdaptError>

Adapt the approximator in light of newly discovered features.

Implementations on Foreign Types

impl<I, T> Approximator<I> for Box<T, Global>where
    T: Approximator<I>,
    I: ?Sized,

type Value = <T as Approximator<I>>::Value

fn evaluate(
    &self,
    input: &I
) -> Result<<Box<T, Global> as Approximator<I>>::Value, EvaluationError>

fn update(
    &mut self,
    input: &I,
    update: <Box<T, Global> as Approximator<I>>::Value
) -> Result<(), UpdateError>

fn adapt(
    &mut self,
    new_features: &HashMap<usize, BTreeSet<usize, Global>, RandomState>
) -> Result<usize, AdaptError>

Implementors

impl Approximator<Projection> for ScalarFunction

type Value = f64

impl Approximator<Projection> for VectorFunction

type Value = ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>

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

type Value = <A as Approximator<Projection>>::Value

impl<I, V> Approximator<I> for Table<I, V>where
    I: Hash + Eq + Copy,
    V: Copy + Default + AddAssign,

type Value = V