Struct GoogleCloudAiplatformV1SuggestTrialsRequest

pub struct GoogleCloudAiplatformV1SuggestTrialsRequest {
    pub suggestion_count: Option<i32>,
    pub contexts: Option<Vec<GoogleCloudAiplatformV1TrialContext>>,
    pub client_id: Option<String>,
}

Request message for VizierService.SuggestTrials.

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 studies trials suggest projects (request)

Fields

suggestion_count: Option<i32>

Required. The number of suggestions requested. It must be positive.

contexts: Option<Vec<GoogleCloudAiplatformV1TrialContext>>

Optional. This allows you to specify the “context” for a Trial; a context is a slice (a subspace) of the search space. Typical uses for contexts: 1) You are using Vizier to tune a server for best performance, but there’s a strong weekly cycle. The context specifies the day-of-week. This allows Tuesday to generalize from Wednesday without assuming that everything is identical. 2) Imagine you’re optimizing some medical treatment for people. As they walk in the door, you know certain facts about them (e.g. sex, weight, height, blood-pressure). Put that information in the context, and Vizier will adapt its suggestions to the patient. 3) You want to do a fair A/B test efficiently. Specify the “A” and “B” conditions as contexts, and Vizier will generalize between “A” and “B” conditions. If they are similar, this will allow Vizier to converge to the optimum faster than if “A” and “B” were separate Studies. NOTE: You can also enter contexts as REQUESTED Trials, e.g. via the CreateTrial() RPC; that’s the asynchronous option where you don’t need a close association between contexts and suggestions. NOTE: All the Parameters you set in a context MUST be defined in the Study. NOTE: You must supply 0 or $suggestion_count contexts. If you don’t supply any contexts, Vizier will make suggestions from the full search space specified in the StudySpec; if you supply a full set of context, each suggestion will match the corresponding context. NOTE: A Context with no features set matches anything, and allows suggestions from the full search space. NOTE: Contexts MUST lie within the search space specified in the StudySpec. It’s an error if they don’t. NOTE: Contexts preferentially match ACTIVE then REQUESTED trials before new suggestions are generated. NOTE: Generation of suggestions involves a match between a Context and (optionally) a REQUESTED trial; if that match is not fully specified, a suggestion will be geneated in the merged subspace.

client_id: Option<String>

Required. The identifier of the client that is requesting the suggestion. If multiple SuggestTrialsRequests have the same client_id, the service will return the identical suggested Trial if the Trial is pending, and provide a new Trial if the last suggested Trial was completed.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1SuggestTrialsRequest

fn clone(&self) -> GoogleCloudAiplatformV1SuggestTrialsRequest

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1SuggestTrialsRequest

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1SuggestTrialsRequest

fn default() -> GoogleCloudAiplatformV1SuggestTrialsRequest

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1SuggestTrialsRequest

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1SuggestTrialsRequest

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 GoogleCloudAiplatformV1SuggestTrialsRequest