Struct Training 

pub struct Training {
    pub pretrained_model: String,
    pub optimizer: Optimizer,
    pub learning_rate: LearningRate,
}

The training configuration for the training process.

Fields

pretrained_model: String

The name or path of the pretrained model to use for the training process.

optimizer: Optimizer

The optimizer to use for the training process.

learning_rate: LearningRate

The learning rate to use for the training process.

Implementations

impl Training

pub fn new() -> Self

Create a new training configuration.

pub fn with_pretrained_model(self, pretrained_model: impl Into<String>) -> Self

Set the pretrained model for the training process.

pub fn with_optimizer(self, optimizer: Optimizer) -> Self

Set the optimizer for the training process.

pub fn with_learning_rate(self, learning_rate: LearningRate) -> Self

Set the learning rate for the training process.

Trait Implementations

impl Debug for Training

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

Formats the value using the given formatter.

impl Default for Training

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for Training

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Training

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

where __S: Serializer,

Serialize this value into the given Serde serializer.