Struct TrainingConfig 

pub struct TrainingConfig {
    pub learning_rate: f64,
    pub batch_size: usize,
    pub epochs: usize,
    pub validation_split: f32,
    pub loss_function: LossFunction,
    pub optimizer: OptimizerType,
    pub early_stopping_patience: usize,
    pub augmentation: AugmentationConfig,
}

Training configuration for neural models

Fields

learning_rate: f64

Learning rate

batch_size: usize

Batch size

epochs: usize

Number of training epochs

validation_split: f32

Validation split ratio

loss_function: LossFunction

Loss function type

optimizer: OptimizerType

Optimizer type

early_stopping_patience: usize

Early stopping patience

augmentation: AugmentationConfig

Data augmentation settings

Trait Implementations

impl Clone for TrainingConfig

fn clone(&self) -> TrainingConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TrainingConfig

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

Formats the value using the given formatter.

impl Default for TrainingConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for TrainingConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for TrainingConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.