Enum FineTuneSupervisedMethodHyperparametersLearningRateMultiplier

pub enum FineTuneSupervisedMethodHyperparametersLearningRateMultiplier {
    Auto,
    Float(f64),
}

Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.

Variants

Auto

auto

Float(f64)

Trait Implementations

impl Clone for FineTuneSupervisedMethodHyperparametersLearningRateMultiplier

fn clone(&self) -> FineTuneSupervisedMethodHyperparametersLearningRateMultiplier

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for FineTuneSupervisedMethodHyperparametersLearningRateMultiplier

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for FineTuneSupervisedMethodHyperparametersLearningRateMultiplier

fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for FineTuneSupervisedMethodHyperparametersLearningRateMultiplier

fn eq( &self, other: &FineTuneSupervisedMethodHyperparametersLearningRateMultiplier, ) -> 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 FineTuneSupervisedMethodHyperparametersLearningRateMultiplier

fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>

where S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for FineTuneSupervisedMethodHyperparametersLearningRateMultiplier

impl StructuralPartialEq for FineTuneSupervisedMethodHyperparametersLearningRateMultiplier