Struct TunedModel 

#[non_exhaustive]
pub struct TunedModel {
    pub model: String,
    pub endpoint: String,
    pub checkpoints: Vec<TunedModelCheckpoint>,
    /* private fields */
}

Available on crate feature gen-ai-tuning-service only.

The Model Registry Model and Online Prediction Endpoint associated with this TuningJob.

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.

model: String

Output only. The resource name of the TunedModel. Format:

projects/{project}/locations/{location}/models/{model}@{version_id}

When tuning from a base model, the version ID will be 1.

For continuous tuning, if the provided tuned_model_display_name is set and different from parent model’s display name, the tuned model will have a new parent model with version 1. Otherwise the version id will be incremented by 1 from the last version ID in the parent model. E.g.,

projects/{project}/locations/{location}/models/{model}@{last_version_id + 1}

endpoint: String

Output only. A resource name of an Endpoint. Format: projects/{project}/locations/{location}/endpoints/{endpoint}.

checkpoints: Vec<TunedModelCheckpoint>

Output only. The checkpoints associated with this TunedModel. This field is only populated for tuning jobs that enable intermediate checkpoints.

Implementations

impl TunedModel

pub fn new() -> Self

Creates a new default instance.

pub fn set_model<T: Into<String>>(self, v: T) -> Self

Sets the value of model.

Example

let x = TunedModel::new().set_model(format!("projects/{project_id}/locations/{location_id}/models/{model_id}"));

pub fn set_endpoint<T: Into<String>>(self, v: T) -> Self

Sets the value of endpoint.

Example

let x = TunedModel::new().set_endpoint(format!("projects/{project_id}/locations/{location_id}/endpoints/{endpoint_id}"));

pub fn set_checkpoints<T, V>(self, v: T) -> Self

where T: IntoIterator<Item = V>, V: Into<TunedModelCheckpoint>,

Sets the value of checkpoints.

Example

use google_cloud_aiplatform_v1::model::TunedModelCheckpoint;
let x = TunedModel::new()
    .set_checkpoints([
        TunedModelCheckpoint::default()/* use setters */,
        TunedModelCheckpoint::default()/* use (different) setters */,
    ]);

Trait Implementations

impl Clone for TunedModel

fn clone(&self) -> TunedModel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TunedModel

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

Formats the value using the given formatter.

impl Default for TunedModel

fn default() -> TunedModel

Returns the “default value” for a type.

impl Message for TunedModel

fn typename() -> &'static str

The typename of this message.

impl PartialEq for TunedModel

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

Equality operator ==.

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

Inequality operator !=.

impl StructuralPartialEq for TunedModel