Enum google_api_proto::google::ai::generativelanguage::v1beta::hyperparameters::LearningRateOption

pub enum LearningRateOption {
    LearningRate(f32),
    LearningRateMultiplier(f32),
}

Options for specifying learning rate during tuning.

Variants

LearningRate(f32)

Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.

LearningRateMultiplier(f32)

Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used.

Implementations

impl LearningRateOption

pub fn encode(&self, buf: &mut impl BufMut)

Encodes the message to a buffer.

pub fn merge( field: &mut Option<LearningRateOption>, tag: u32, wire_type: WireType, buf: &mut impl Buf, ctx: DecodeContext, ) -> Result<(), DecodeError>

Decodes an instance of the message from a buffer, and merges it into self.

pub fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

Trait Implementations

impl Clone for LearningRateOption

fn clone(&self) -> LearningRateOption

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for LearningRateOption

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

Formats the value using the given formatter.

impl PartialEq for LearningRateOption

fn eq(&self, other: &LearningRateOption) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for LearningRateOption

impl StructuralPartialEq for LearningRateOption