Struct Hyperparameters

pub struct Hyperparameters {
    pub batch_size: BatchSize,
    pub learning_rate_multiplier: LearningRateMultiplier,
    pub n_epochs: NEpochs,
}

Fields

batch_size: BatchSize

Number of examples in each batch. A larger batch size means that model parameters are updated less frequently, but with lower variance.

learning_rate_multiplier: LearningRateMultiplier

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

n_epochs: NEpochs

The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.

Trait Implementations

impl Clone for Hyperparameters

fn clone(&self) -> Hyperparameters

Returns a copy 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() -> Hyperparameters

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 PartialEq for Hyperparameters

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

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 Hyperparameters