Struct MLOptimizerConfig 

pub struct MLOptimizerConfig {
    pub training_buffer_size: usize,
    pub min_training_samples: usize,
    pub learning_rate: f64,
    pub enable_adaptive_joins: bool,
    pub batch_size: usize,
}

Configuration for ML optimizer

Fields

training_buffer_size: usize

Training buffer size

min_training_samples: usize

Minimum samples before training

learning_rate: f64

Learning rate for gradient descent

enable_adaptive_joins: bool

Enable adaptive join ordering

batch_size: usize

Training batch size

Trait Implementations

impl Clone for MLOptimizerConfig

fn clone(&self) -> MLOptimizerConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MLOptimizerConfig

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

Formats the value using the given formatter.

impl Default for MLOptimizerConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for MLOptimizerConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for MLOptimizerConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.