Struct TrainingConfig 

pub struct TrainingConfig {
    pub batch_size: usize,
    pub shuffle: bool,
    pub num_workers: usize,
    pub learning_rate: f64,
    pub epochs: usize,
    pub verbose: usize,
    pub validation: Option<ValidationSettings>,
    pub gradient_accumulation: Option<GradientAccumulationConfig>,
    pub mixed_precision: Option<MixedPrecisionConfig>,
}

Configuration structure for training neural networks

Fields

batch_size: usize

Number of samples in each training batch

shuffle: bool

Whether to shuffle the training data between epochs

num_workers: usize

Number of parallel workers for data loading

learning_rate: f64

Base learning rate for the optimizer

epochs: usize

Number of complete passes through the training dataset

verbose: usize

Verbosity level for training output

validation: Option<ValidationSettings>

Validation configuration

gradient_accumulation: Option<GradientAccumulationConfig>

Gradient accumulation configuration

mixed_precision: Option<MixedPrecisionConfig>

Mixed precision training configuration

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.