Struct ClassifierTrainingParameters 

pub struct ClassifierTrainingParameters {
    pub training_steps: Option<Option<i32>>,
    pub learning_rate: Option<f64>,
    pub weight_decay: Option<Option<f64>>,
    pub warmup_fraction: Option<Option<f64>>,
    pub epochs: Option<Option<f64>>,
    pub seq_len: Option<Option<i32>>,
}

Fields

training_steps: Option<Option<i32>>

learning_rate: Option<f64>

weight_decay: Option<Option<f64>>

warmup_fraction: Option<Option<f64>>

epochs: Option<Option<f64>>

seq_len: Option<Option<i32>>

Implementations

impl ClassifierTrainingParameters

pub fn new() -> ClassifierTrainingParameters

Trait Implementations

impl Clone for ClassifierTrainingParameters

fn clone(&self) -> ClassifierTrainingParameters

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ClassifierTrainingParameters

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

Formats the value using the given formatter.

impl Default for ClassifierTrainingParameters

fn default() -> ClassifierTrainingParameters

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ClassifierTrainingParameters

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for ClassifierTrainingParameters

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

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 ClassifierTrainingParameters