Struct concision_linear::prelude::Linear

pub struct Linear<T = f64, D = Ix2>
where
    D: RemoveAxis,
{ /* private fields */ }

Linear model

Implementations

impl<T, D> Linear<T, D>

where D: RemoveAxis,

pub fn with_params<D2>(self, params: LinearParams<T, D2>) -> Linear<T, D2>

where D2: RemoveAxis,

pub fn config(&self) -> &Config

pub fn bias(&self) -> Option<&Array<T, D::Smaller>>

pub fn bias_mut(&mut self) -> Option<&mut Array<T, D::Smaller>>

pub fn weights(&self) -> &Array<T, D>

pub fn weights_mut(&mut self) -> &mut Array<T, D>

pub fn params(&self) -> &LinearParams<T, D>

pub fn params_mut(&mut self) -> &mut LinearParams<T, D>

pub fn is_biased(&self) -> bool

pub fn activate<X, Y, F>(&self, args: &X, func: F) -> Result<Y>

where F: for<'a> Fn(&'a Y) -> Y, Self: Predict<X, Output = Y>,

impl<T, D> Linear<T, D>

where D: RemoveAxis, T: Float + SampleUniform, StandardNormal: Distribution<T>,

pub fn uniform(self) -> Self

impl<T> Linear<T>

pub fn std(config: Config) -> Self

where T: Clone + Default,

Trait Implementations

impl<T, D> Borrow<Config> for Linear<T, D>

where D: RemoveAxis,

fn borrow(&self) -> &Config

Immutably borrows from an owned value.

impl<T, D> Borrow<LinearParamsBase<OwnedRepr<T>, D>> for Linear<T, D>

where D: RemoveAxis,

fn borrow(&self) -> &LinearParams<T, D>

Immutably borrows from an owned value.

impl<T, D> BorrowMut<LinearParamsBase<OwnedRepr<T>, D>> for Linear<T, D>

where D: RemoveAxis,

fn borrow_mut(&mut self) -> &mut LinearParams<T, D>

Mutably borrows from an owned value.

impl<T, D> Module for Linear<T, D>

where D: RemoveAxis,

type Config = Config

type Params = LinearParamsBase<OwnedRepr<T>, D>

fn config(&self) -> &Self::Config

fn params(&self) -> &Self::Params

fn params_mut(&mut self) -> &mut Self::Params

impl<X, Y, A, D> Predict<X> for Linear<A, D>

where D: RemoveAxis, LinearParams<A, D>: Predict<X, Output = Y>,

type Output = Y

fn predict(&self, input: &X) -> Result<Self::Output, PredictError>