Struct DistributedMLConfig 

pub struct DistributedMLConfig {
    pub num_workers: usize,
    pub training_mode: TrainingMode,
    pub aggregation_strategy: AggregationStrategy,
    pub batch_size_per_worker: usize,
    pub learning_rate: f64,
    pub max_epochs: usize,
    pub checkpoint_interval: usize,
    pub checkpoint_dir: PathBuf,
    pub enable_fault_tolerance: bool,
    pub health_check_interval: Duration,
    pub max_gradient_staleness: usize,
}

Configuration for distributed ML training

Fields

num_workers: usize

Number of worker nodes

training_mode: TrainingMode

Training mode (DataParallel or ModelParallel)

aggregation_strategy: AggregationStrategy

Gradient aggregation strategy

batch_size_per_worker: usize

Batch size per worker

learning_rate: f64

Learning rate

max_epochs: usize

Maximum number of epochs

checkpoint_interval: usize

Checkpoint interval (in epochs)

checkpoint_dir: PathBuf

Checkpoint directory

enable_fault_tolerance: bool

Enable fault tolerance

health_check_interval: Duration

Worker health check interval

max_gradient_staleness: usize

Maximum gradient staleness (for async training)

Trait Implementations

impl Clone for DistributedMLConfig

fn clone(&self) -> DistributedMLConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DistributedMLConfig

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

Formats the value using the given formatter.

impl Default for DistributedMLConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DistributedMLConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for DistributedMLConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.