Struct lfa::basis::fixed::Polynomial
source · Expand description
Polynomial basis projector.
Linear regression on the interval [0, 1]
use lfa::basis::{Projector, fixed::Polynomial};
let p = Polynomial::new(1, vec![(0.0, 1.0)]);
assert_eq!(p.project(&vec![0.0]), vec![0.0, 1.0].into());
assert_eq!(p.project(&vec![0.5]), vec![0.5, 1.0].into());
assert_eq!(p.project(&vec![1.0]), vec![1.0, 1.0].into());
Quadratic regression on the interval [0, 1]
use lfa::basis::{Projector, fixed::Polynomial};
let p = Polynomial::new(2, vec![(0.0, 1.0)]);
assert_eq!(p.project(&vec![0.0]), vec![0.0, 0.0, 1.0].into());
assert_eq!(p.project(&vec![0.5]), vec![0.25, 0.5, 1.0].into());
assert_eq!(p.project(&vec![1.0]), vec![1.0, 1.0, 1.0].into());
Fields§
§order: u8
§limits: Vec<(f64, f64)>
§exponents: Vec<Vec<i32>>
Implementations§
source§impl Polynomial
impl Polynomial
Trait Implementations§
source§impl Clone for Polynomial
impl Clone for Polynomial
source§fn clone(&self) -> Polynomial
fn clone(&self) -> Polynomial
Returns a copy of the value. Read more
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read moresource§impl Composable for Polynomial
impl Composable for Polynomial
source§fn lfa<A: Approximator<Projection>>(self, approximator: A) -> LFA<Self, A>
fn lfa<A: Approximator<Projection>>(self, approximator: A) -> LFA<Self, A>
Return an
LFA
using this Projector
instance and a given Approximator
.source§fn add<P: Space>(self, p: P) -> Sum<Self, P>where
Self: Space,
fn add<P: Space>(self, p: P) -> Sum<Self, P>where
Self: Space,
Return the
Sum
of this Projector
and another.source§fn subtract<P: Space>(self, p: P) -> Sum<Self, Negate<P>>where
Self: Space,
fn subtract<P: Space>(self, p: P) -> Sum<Self, Negate<P>>where
Self: Space,
Return the
Sum
of this Projector
and the Negate
d other.source§fn shift(self, offset: f64) -> Shift<Self>
fn shift(self, offset: f64) -> Shift<Self>
Return the original
Projector
with all activations Shift
ed by some offset
.source§fn multiply<P: Space>(self, p: P) -> Product<Self, P>where
Self: Space,
fn multiply<P: Space>(self, p: P) -> Product<Self, P>where
Self: Space,
Return the
Product
of this Projector
and another.source§fn divide<P: Space>(self, p: P) -> Product<Self, Reciprocal<P>>where
Self: Space,
fn divide<P: Space>(self, p: P) -> Product<Self, Reciprocal<P>>where
Self: Space,
Return the
Product
of this Projector
and the Reciprocal
of the other.source§fn scale(self, factor: f64) -> Scale<Self>
fn scale(self, factor: f64) -> Scale<Self>
Return the original
Projector
with all activations Scale
d by some factor
.source§fn normalise_l1(self) -> L1Normalise<Self>
fn normalise_l1(self) -> L1Normalise<Self>
Return the original
Projector
with all activations normalised in L₁.source§fn normalise_l2(self) -> L2Normalise<Self>
fn normalise_l2(self) -> L2Normalise<Self>
Return the original
Projector
with all activations normalised in L₂.source§fn normalise_lp(self, p: u8) -> LpNormalise<Self>
fn normalise_lp(self, p: u8) -> LpNormalise<Self>
Return the original
Projector
with all activations normalised in Lp.source§fn normalise_linf(self) -> LinfNormalise<Self>
fn normalise_linf(self) -> LinfNormalise<Self>
Return the original
Projector
with all activations normalised in L∞.source§impl Debug for Polynomial
impl Debug for Polynomial
source§impl<'de> Deserialize<'de> for Polynomial
impl<'de> Deserialize<'de> for Polynomial
source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more