Struct TrainingState 

pub struct TrainingState {
    pub epoch: usize,
    pub iteration: usize,
    pub loss: f32,
    pub optimizer: OptimizerKind,
    pub gradients: HashMap<String, Vec<f32>>,
    pub optimizer_state: HashMap<String, Vec<f32>>,
}

Training state for a model

Fields

epoch: usize

Current epoch

iteration: usize

Current iteration

loss: f32

Current loss value

optimizer: OptimizerKind

Optimizer state

gradients: HashMap<String, Vec<f32>>

Parameter gradients

optimizer_state: HashMap<String, Vec<f32>>

Optimizer momentum/state variables

Implementations

impl TrainingState

pub fn new_sgd(learning_rate: f32) -> Self

Create new training state with SGD optimizer

pub fn new_adam(learning_rate: f32) -> Self

Create new training state with Adam optimizer

Trait Implementations

impl Clone for TrainingState

fn clone(&self) -> TrainingState

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TrainingState

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for TrainingState

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for TrainingState

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.