Struct lfa::VectorFunction

pub struct VectorFunction {
    pub weights: Weights,
}

Weights-Features evaluator with Vec<f64> output.

Fields

weights: Weights

Approximation weights.

Methods

impl VectorFunction

pub fn new(weights: Weights) -> Self

Construct a new approximation with specified weights.

pub fn zeros(n_features: usize, n_outputs: usize) -> Self

Construct a new approximation with zeroed weights.

Trait Implementations

impl Parameterised for VectorFunction

fn weights(&self) -> Weights

Return a clone of the weights.

fn weights_dim(&self) -> [usize; 2]

Return the dimensions of the weight matrix.

fn weights_view(&self) -> WeightsView

Return a read-only view of the weights.

fn weights_view_mut(&mut self) -> WeightsViewMut

Return a mutable view of the weights.

impl Approximator for VectorFunction

type Output = Vec<f64>

The type of value being approximated.

fn n_outputs(&self) -> usize

Return the dimensionality of the output value Approximator::Output.

fn evaluate(&self, f: &Features) -> Result<Self::Output>

Evaluate the approximator and return its value.

fn update<O>(&mut self, opt: &mut O, f: &Features, es: Vec<f64>) -> Result<()> where
    O: Optimiser, 

Update the approximator using some arbitrary optimiser for a given error(s).

impl PartialEq<VectorFunction> for VectorFunction

fn eq(&self, other: &VectorFunction) -> bool

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

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

This method tests for !=.

impl Clone for VectorFunction

fn clone(&self) -> VectorFunction

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for VectorFunction

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

Formats the value using the given formatter.