Struct RMSProp 

pub struct RMSProp { /* private fields */ }

RMSProp

The RMSProp algorithm (Hinton et al. 2012).

Implementations

impl RMSProp

pub fn new( learning_rate: f64, decay_rate: f64, epsilon: f64, iters: usize, ) -> RMSProp

Construct an RMSProp algorithm.

Requires learning rate, decay rate, epsilon, and iteration count.

#Examples

use rusty_machine::learning::optim::grad_desc::RMSProp;

let rms = RMSProp::new(0.99, 0.01, 1e-5, 20);

Trait Implementations

impl Clone for RMSProp

fn clone(&self) -> RMSProp

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for RMSProp

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

Formats the value using the given formatter.

impl Default for RMSProp

The default RMSProp configuration

The defaults are:

• learning_rate = 0.01
• decay_rate = 0.9
• epsilon = 1.0e-5
• iters = 50

fn default() -> RMSProp

Returns the “default value” for a type.

impl<M> OptimAlgorithm<M> for RMSProp

where M: Optimizable<Inputs = Matrix<f64>, Targets = Matrix<f64>>,

fn optimize( &self, model: &M, start: &[f64], inputs: &M::Inputs, targets: &M::Targets, ) -> Vec<f64>

Return the optimized parameter using gradient optimization.

impl Copy for RMSProp