Enum lfa::Projection

pub enum Projection {
    Dense(DenseT),
    Sparse(SparseT),
}

Projected feature vector representation.

Variants

Dense(DenseT)

Dense, floating-point activation vector.

Sparse(SparseT)

Sparse, index-based activation vector.

Implementations

impl Projection

pub fn remove(&mut self, idx: usize)

Remove/set to zero one feature entry of the projection.

pub fn activity(&self) -> usize

Return the maximum number of active features in the basis space.

pub fn expanded(self, dim: usize) -> DenseT

Expand and normalise a given projection, and convert into a raw, dense vector.

Trait Implementations

impl Add<Projection> for Projection

type Output = Projection

The resulting type after applying the + operator.

fn add(self, rhs: Projection) -> Projection

Performs the + operation.

impl Approximator<Projection> for ScalarFunction

type Value = f64

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

Evaluate the function and return its value.

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

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

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

Evaluate the function and return its value.

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

fn clone(&self) -> Projection

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Projection

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Projection

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
    __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl FromIterator<f64> for Projection

fn from_iter<I: IntoIterator<Item = ActivationT>>(iter: I) -> Self

Creates a value from an iterator.

impl FromIterator<usize> for Projection

fn from_iter<I: IntoIterator<Item = IndexT>>(iter: I) -> Self

Creates a value from an iterator.

impl Index<usize> for Projection

type Output = f64

The returned type after indexing.

fn index(&self, idx: usize) -> &f64

Performs the indexing (container[index]) operation.

impl Into<Projection> for DenseT

fn into(self) -> Projection

Converts this type into the (usually inferred) input type.

impl Into<Projection> for SparseT

fn into(self) -> Projection

Converts this type into the (usually inferred) input type.

impl Into<Projection> for Vec<ActivationT>

fn into(self) -> Projection

Converts this type into the (usually inferred) input type.

impl Into<Projection> for Vec<IndexT>

fn into(self) -> Projection

Converts this type into the (usually inferred) input type.

impl PartialEq<Projection> for Projection

fn eq(&self, rhs: &Projection) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for Projection

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>where
    __S: Serializer,

Serialize this value into the given Serde serializer.