Enum LearningRate 

pub enum LearningRate {
    Constant,
    Optimal,
    InvScaling,
}

Learning rate schedule.

Variants

Constant

Fixed learning rate: eta = eta0.

Optimal

Optimal: eta = 1 / (alpha * (t + t0)).

InvScaling

Inverse scaling: eta = eta0 / t^power_t.

Trait Implementations

impl Clone for LearningRate

fn clone(&self) -> LearningRate

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for LearningRate

impl Debug for LearningRate

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

Formats the value using the given formatter.

impl Default for LearningRate

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for LearningRate

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for LearningRate

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

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 LearningRate