Trait vikos::Teacher [−] [src]

pub trait Teacher<M: Model> {
    type Training;
    fn new_training(&self, model: &M) -> Self::Training;
    fn teach_event<Y, C>(&self, training: &mut Self::Training, model: &mut M, cost: &C, features: &M::Input, truth: Y) where C: Cost<Y>, Y: Copy;
}

Algorithms used to adapt Model coefficents

Associated Types

`type Training`

Contains state which changes during the training, but is not part of the expertise

Examples are the velocity of the coefficents (in stochastic gradient descent) or the number of events already learned. This may also be empty

Required Methods

`fn new_training(&self, model: &M) -> Self::Training`

Creates an instance holding all mutable state of the algorithm

`fn teach_event<Y, C>(&self, training: &mut Self::Training, model: &mut M, cost: &C, features: &M::Input, truth: Y) where C: Cost<Y>, Y: Copy`

Changes models coefficents so they minimize the cost function (hopefully)

Implementors

impl<M> Teacher<M> for GradientDescent where M: Model
impl<M> Teacher<M> for GradientDescentAl where M: Model
impl<M> Teacher<M> for Momentum where M: Model
impl<M> Teacher<M> for Nesterov where M: Model