Struct TrainingConfig

#[non_exhaustive]
pub struct TrainingConfig {
    pub timeout_training_milli_hours: i64,
    /* private fields */
}

CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

timeout_training_milli_hours: i64

The timeout hours for the CMLE training job, expressed in milli hours i.e. 1,000 value in this field means 1 hour.

Implementations

impl TrainingConfig

pub fn new() -> Self

pub fn set_timeout_training_milli_hours<T: Into<i64>>(self, v: T) -> Self

Sets the value of timeout_training_milli_hours.

Trait Implementations

impl Clone for TrainingConfig

fn clone(&self) -> TrainingConfig

Returns a copy 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() -> TrainingConfig

Returns the “default value” for a type.

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

where TrainingConfig: Default,

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Message for TrainingConfig

fn typename() -> &'static str

The typename of this message.

impl PartialEq for TrainingConfig

fn eq(&self, other: &TrainingConfig) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

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.

impl StructuralPartialEq for TrainingConfig