Struct GoogleCloudAiplatformV1HyperparameterTuningJob

pub struct GoogleCloudAiplatformV1HyperparameterTuningJob {

    pub create_time: Option<DateTime<Utc>>,
    pub max_trial_count: Option<i32>,
    pub end_time: Option<DateTime<Utc>>,
    pub trial_job_spec: Option<GoogleCloudAiplatformV1CustomJobSpec>,
    pub study_spec: Option<GoogleCloudAiplatformV1StudySpec>,
    pub error: Option<GoogleRpcStatus>,
    pub encryption_spec: Option<GoogleCloudAiplatformV1EncryptionSpec>,
    pub max_failed_trial_count: Option<i32>,
    pub update_time: Option<DateTime<Utc>>,
    pub trials: Option<Vec<GoogleCloudAiplatformV1Trial>>,
    pub state: Option<String>,
    pub labels: Option<HashMap<String, String>>,
    pub parallel_trial_count: Option<i32>,
    pub name: Option<String>,
    pub start_time: Option<DateTime<Utc>>,
    pub display_name: Option<String>,
}

Represents a HyperparameterTuningJob. A HyperparameterTuningJob has a Study specification and multiple CustomJobs with identical CustomJob specification.

Activities

This type is used in activities, which are methods you may call on this type or where this type is involved in. The list links the activity name, along with information about where it is used (one of request and response).

• locations hyperparameter tuning jobs create projects (request|response)
• locations hyperparameter tuning jobs get projects (response)

Fields

create_time: Option<DateTime<Utc>>

Output only. Time when the HyperparameterTuningJob was created.

max_trial_count: Option<i32>

Required. The desired total number of Trials.

end_time: Option<DateTime<Utc>>

Output only. Time when the HyperparameterTuningJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.

trial_job_spec: Option<GoogleCloudAiplatformV1CustomJobSpec>

Required. The spec of a trial job. The same spec applies to the CustomJobs created in all the trials.

study_spec: Option<GoogleCloudAiplatformV1StudySpec>

Required. Study configuration of the HyperparameterTuningJob.

error: Option<GoogleRpcStatus>

Output only. Only populated when job’s state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

encryption_spec: Option<GoogleCloudAiplatformV1EncryptionSpec>

Customer-managed encryption key options for a HyperparameterTuningJob. If this is set, then all resources created by the HyperparameterTuningJob will be encrypted with the provided encryption key.

max_failed_trial_count: Option<i32>

The number of failed Trials that need to be seen before failing the HyperparameterTuningJob. If set to 0, Vertex AI decides how many Trials must fail before the whole job fails.

update_time: Option<DateTime<Utc>>

Output only. Time when the HyperparameterTuningJob was most recently updated.

trials: Option<Vec<GoogleCloudAiplatformV1Trial>>

Output only. Trials of the HyperparameterTuningJob.

state: Option<String>

Output only. The detailed state of the job.

labels: Option<HashMap<String, String>>

The labels with user-defined metadata to organize HyperparameterTuningJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.

parallel_trial_count: Option<i32>

Required. The desired number of Trials to run in parallel.

name: Option<String>

Output only. Resource name of the HyperparameterTuningJob.

start_time: Option<DateTime<Utc>>

Output only. Time when the HyperparameterTuningJob for the first time entered the JOB_STATE_RUNNING state.

display_name: Option<String>

Required. The display name of the HyperparameterTuningJob. The name can be up to 128 characters long and can consist of any UTF-8 characters.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1HyperparameterTuningJob

fn clone(&self) -> GoogleCloudAiplatformV1HyperparameterTuningJob

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1HyperparameterTuningJob

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1HyperparameterTuningJob

fn default() -> GoogleCloudAiplatformV1HyperparameterTuningJob

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1HyperparameterTuningJob

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1HyperparameterTuningJob

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl RequestValue for GoogleCloudAiplatformV1HyperparameterTuningJob

impl ResponseResult for GoogleCloudAiplatformV1HyperparameterTuningJob