Struct lfa::optim::Adam

pub struct Adam { /* fields omitted */ }

Adaptive moment estimation gradient descent.

https://arxiv.org/pdf/1412.6980.pdf

Implementations

impl Adam

pub fn new(n_params: usize, learning_rate: f64, beta1: f64, beta2: f64) -> Self

Trait Implementations

impl Clone for Adam

fn clone(&self) -> Adam

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Adam

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

Formats the value using the given formatter.

impl Optimiser<Features> for Adam

fn step_scaled(
    &mut self,
    weights: &mut ArrayViewMut1<f64>,
    features: &Features,
    scale_factor: f64
) -> Result<()>

fn reset(&mut self)

fn step(&mut self, weights: &mut ArrayViewMut1<f64>, grad: &G) -> Result<()>

impl PartialEq<Adam> for Adam

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

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

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

This method tests for !=.

impl StructuralPartialEq for Adam