Struct FoundationModelTuningOptions 

#[non_exhaustive]
pub struct FoundationModelTuningOptions {
    pub train_steps: i32,
    pub learning_rate_multiplier: f32,
    /* private fields */
}

Options to control foundation model tuning of the processor.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

train_steps: i32

Optional. The number of steps to run for model tuning. Valid values are between 1 and 400. If not provided, recommended steps will be used.

learning_rate_multiplier: f32

Optional. The multiplier to apply to the recommended learning rate. Valid values are between 0.1 and 10. If not provided, recommended learning rate will be used.

Implementations

impl FoundationModelTuningOptions

pub fn new() -> Self

pub fn set_train_steps<T: Into<i32>>(self, v: T) -> Self

Sets the value of train_steps.

pub fn set_learning_rate_multiplier<T: Into<f32>>(self, v: T) -> Self

Sets the value of learning_rate_multiplier.

Trait Implementations

impl Clone for FoundationModelTuningOptions

fn clone(&self) -> FoundationModelTuningOptions

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for FoundationModelTuningOptions

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

Formats the value using the given formatter.

impl Default for FoundationModelTuningOptions

fn default() -> FoundationModelTuningOptions

Returns the “default value” for a type.

impl Message for FoundationModelTuningOptions

fn typename() -> &'static str

The typename of this message.

impl PartialEq for FoundationModelTuningOptions

fn eq(&self, other: &FoundationModelTuningOptions) -> 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 StructuralPartialEq for FoundationModelTuningOptions