Struct Response 

pub struct Response {

    pub id: Uuid,
    pub auto_start: bool,
    pub model: String,
    pub status: Status,
    pub created_at: i32,
    pub modified_at: i32,
    pub training_files: Vec<Uuid>,
    pub validation_files: Option<Vec<Uuid>>,
    pub object: Option<Object>,
    pub fine_tuned_model: Option<String>,
    pub suffix: Option<String>,
    pub integrations: Option<Vec<WandbIntegrationOut>>,
    pub trained_tokens: Option<i32>,
    pub metadata: Option<Box<JobMetadataOut>>,
    pub job_type: Option<JobType>,
    pub hyperparameters: Box<ClassifierTrainingParameters>,
    pub repositories: Option<Vec<GithubRepositoryOut>>,
    pub expected_duration_seconds: Option<i32>,
    pub cost: Option<f64>,
    pub cost_currency: Option<String>,
    pub train_tokens_per_step: Option<i32>,
    pub train_tokens: Option<i32>,
    pub data_tokens: Option<i32>,
    pub estimated_start_time: Option<i32>,
    pub deprecated: Option<bool>,
    pub details: String,
    pub epochs: Option<f64>,
    pub training_steps: Option<i32>,
}

Fields

id: Uuid

The ID of the job.

auto_start: bool

model: String

status: Status

The current status of the fine-tuning job.

created_at: i32

The UNIX timestamp (in seconds) for when the fine-tuning job was created.

modified_at: i32

The UNIX timestamp (in seconds) for when the fine-tuning job was last modified.

training_files: Vec<Uuid>

A list containing the IDs of uploaded files that contain training data.

validation_files: Option<Vec<Uuid>>

object: Option<Object>

fine_tuned_model: Option<String>

suffix: Option<String>

integrations: Option<Vec<WandbIntegrationOut>>

trained_tokens: Option<i32>

metadata: Option<Box<JobMetadataOut>>

job_type: Option<JobType>

The type of job (FT for fine-tuning).

hyperparameters: Box<ClassifierTrainingParameters>

repositories: Option<Vec<GithubRepositoryOut>>

expected_duration_seconds: Option<i32>

cost: Option<f64>

cost_currency: Option<String>

train_tokens_per_step: Option<i32>

train_tokens: Option<i32>

data_tokens: Option<i32>

estimated_start_time: Option<i32>

deprecated: Option<bool>

details: String

epochs: Option<f64>

training_steps: Option<i32>

Implementations

impl Response

pub fn new( id: Uuid, auto_start: bool, model: String, status: Status, created_at: i32, modified_at: i32, training_files: Vec<Uuid>, hyperparameters: ClassifierTrainingParameters, details: String, ) -> Response

Trait Implementations

impl Clone for Response

fn clone(&self) -> Response

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Response

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

Formats the value using the given formatter.

impl Default for Response

fn default() -> Response

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for Response

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for Response

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

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 Response