Struct Hyperparameters 

pub struct Hyperparameters {
    pub learning_rate: Option<f32>,
    pub batch_size: Option<usize>,
    pub epochs: Option<usize>,
    pub optimizer: Option<String>,
    pub custom: HashMap<String, String>,
}

Hyperparameters for training

Fields

learning_rate: Option<f32>

Learning rate

batch_size: Option<usize>

Batch size

epochs: Option<usize>

Number of epochs

optimizer: Option<String>

Optimizer name

custom: HashMap<String, String>

Additional parameters

Implementations

impl Hyperparameters

pub fn new() -> Self

Create new hyperparameters

pub fn with_learning_rate(self, lr: f32) -> Self

Set learning rate

pub fn with_batch_size(self, batch_size: usize) -> Self

Set batch size

pub fn with_epochs(self, epochs: usize) -> Self

Set epochs

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

Set optimizer

pub fn add_param(self, key: String, value: String) -> Self

Add custom parameter

Trait Implementations

impl Clone for Hyperparameters

fn clone(&self) -> Hyperparameters

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Hyperparameters

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

Formats the value using the given formatter.

impl Default for Hyperparameters

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for Hyperparameters

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Hyperparameters

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

where __S: Serializer,

Serialize this value into the given Serde serializer.