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use ndarray::*;
use errors::Result;
use errors::ErrorKind::{InvalidLearnRate, InvalidLearnMomentum};
#[derive(Debug, Copy, Clone, PartialEq)]
pub struct LearnRate(pub f32);
impl LearnRate {
pub fn from_f64(rate: f64) -> Result<LearnRate> {
if rate > 0.0 && rate < 1.0 {
Ok(LearnRate(rate as f32))
}
else {
Err(InvalidLearnRate)
}
}
}
impl Default for LearnRate {
fn default() -> Self {
LearnRate(0.3)
}
}
#[derive(Debug, Copy, Clone, PartialEq)]
pub struct LearnMomentum(pub f32);
impl LearnMomentum {
pub fn from_f64(momentum: f64) -> Result<LearnMomentum> {
if momentum > 0.0 && momentum < 1.0 {
Ok(LearnMomentum(momentum as f32))
}
else {
Err(InvalidLearnMomentum)
}
}
}
impl Default for LearnMomentum {
fn default() -> Self {
LearnMomentum(0.5)
}
}
pub trait Predict<I> {
fn predict(&mut self, input: I) -> ArrayView1<f32>;
}
pub trait UpdateGradients<T> {
fn update_gradients(&mut self, target: T);
}
pub trait UpdateWeights<I> {
fn update_weights(&mut self, input: I, rate: LearnRate, momentum: LearnMomentum);
}