Trait lfa::core::Approximator

pub trait Approximator<I: ?Sized> {
    type Value;
    fn n_outputs(&self) -> usize;
    fn evaluate(&self, input: &I) -> EvaluationResult<Self::Value>;
    fn update(&mut self, input: &I, update: Self::Value) -> UpdateResult<()>;

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

An interface for function approximators.

Associated Types

type Value

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Required methods

fn n_outputs(&self) -> usize

Return the dimensionality of the output value Approximator::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.

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Provided methods

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

Adapt the approximator in light of newly discovered features.

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Implementations on Foreign Types

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

type Value = T::Value

fn n_outputs(&self) -> usize

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

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

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

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Implementors

impl Approximator<Projection> for PairFunction

type Value = (f64, f64)

fn n_outputs(&self) -> usize

fn evaluate(&self, p: &Projection) -> EvaluationResult<(f64, f64)>

fn update(&mut self, p: &Projection, errors: (f64, f64)) -> UpdateResult<()>

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

impl Approximator<Projection> for ScalarFunction

type Value = f64

fn n_outputs(&self) -> usize

fn evaluate(&self, p: &Projection) -> EvaluationResult<f64>

fn update(&mut self, p: &Projection, error: f64) -> UpdateResult<()>

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

impl Approximator<Projection> for TripleFunction

type Value = (f64, f64, f64)

fn n_outputs(&self) -> usize

fn evaluate(&self, p: &Projection) -> EvaluationResult<(f64, f64, f64)>

fn update(
    &mut self,
    p: &Projection,
    errors: (f64, f64, f64)
) -> UpdateResult<()>

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

impl Approximator<Projection> for VectorFunction

type Value = Vector<f64>

fn n_outputs(&self) -> usize

fn evaluate(&self, p: &Projection) -> EvaluationResult<Vector<f64>>

fn update(&mut self, p: &Projection, errors: Vector<f64>) -> UpdateResult<()>

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

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

type Value = E::Value

fn n_outputs(&self) -> usize

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

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

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

impl<I: ?Sized, P, E, T> Approximator<I> for TransformedLFA<P, E, T> where
    P: Projector<I>,
    E: Approximator<Projection>,
    T: Transform<E::Value>,
    E::Value: Gradient, 

type Value = E::Value

fn n_outputs(&self) -> usize

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

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

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

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