Struct GoogleCloudAiplatformV1Endpoint 

pub struct GoogleCloudAiplatformV1Endpoint {

    pub traffic_split: Option<HashMap<String, i32>>,
    pub display_name: Option<String>,
    pub dedicated_endpoint_enabled: Option<bool>,
    pub model_deployment_monitoring_job: Option<String>,
    pub enable_private_service_connect: Option<bool>,
    pub create_time: Option<DateTime<Utc>>,
    pub labels: Option<HashMap<String, String>>,
    pub dedicated_endpoint_dns: Option<String>,
    pub encryption_spec: Option<GoogleCloudAiplatformV1EncryptionSpec>,
    pub private_service_connect_config: Option<GoogleCloudAiplatformV1PrivateServiceConnectConfig>,
    pub description: Option<String>,
    pub name: Option<String>,
    pub predict_request_response_logging_config: Option<GoogleCloudAiplatformV1PredictRequestResponseLoggingConfig>,
    pub update_time: Option<DateTime<Utc>>,
    pub network: Option<String>,
    pub deployed_models: Option<Vec<GoogleCloudAiplatformV1DeployedModel>>,
    pub etag: Option<String>,
}

Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.

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 endpoints get projects (response)
• locations endpoints patch projects (request|response)
• locations endpoints create projects (request)

Fields

traffic_split: Option<HashMap<String, i32>>

A map from a DeployedModel’s ID to the percentage of this Endpoint’s traffic that should be forwarded to that DeployedModel. If a DeployedModel’s ID is not listed in this map, then it receives no traffic. The traffic percentage values must add up to 100, or map must be empty if the Endpoint is to not accept any traffic at a moment.

display_name: Option<String>

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

dedicated_endpoint_enabled: Option<bool>

If true, the endpoint will be exposed through a dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your request to the dedicated DNS will be isolated from other users’ traffic and will have better performance and reliability. Note: Once you enabled dedicated endpoint, you won’t be able to send request to the shared DNS {region}-aiplatform.googleapis.com. The limitation will be removed soon.

model_deployment_monitoring_job: Option<String>

Output only. Resource name of the Model Monitoring job associated with this Endpoint if monitoring is enabled by JobService.CreateModelDeploymentMonitoringJob. Format: projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}

enable_private_service_connect: Option<bool>

Deprecated: If true, expose the Endpoint via private service connect. Only one of the fields, network or enable_private_service_connect, can be set.

create_time: Option<DateTime<Utc>>

Output only. Timestamp when this Endpoint was created.

labels: Option<HashMap<String, String>>

The labels with user-defined metadata to organize your Endpoints. 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.

dedicated_endpoint_dns: Option<String>

Output only. DNS of the dedicated endpoint. Will only be populated if dedicated_endpoint_enabled is true. Format: https://{endpoint_id}.{region}-{project_number}.prediction.vertexai.goog.

encryption_spec: Option<GoogleCloudAiplatformV1EncryptionSpec>

Customer-managed encryption key spec for an Endpoint. If set, this Endpoint and all sub-resources of this Endpoint will be secured by this key.

private_service_connect_config: Option<GoogleCloudAiplatformV1PrivateServiceConnectConfig>

Optional. Configuration for private service connect. network and private_service_connect_config are mutually exclusive.

description: Option<String>

The description of the Endpoint.

name: Option<String>

Output only. The resource name of the Endpoint.

predict_request_response_logging_config: Option<GoogleCloudAiplatformV1PredictRequestResponseLoggingConfig>

Configures the request-response logging for online prediction.

update_time: Option<DateTime<Utc>>

Output only. Timestamp when this Endpoint was last updated.

network: Option<String>

Optional. The full name of the Google Compute Engine network to which the Endpoint should be peered. Private services access must already be configured for the network. If left unspecified, the Endpoint is not peered with any network. Only one of the fields, network or enable_private_service_connect, can be set. Format: projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is network name.

deployed_models: Option<Vec<GoogleCloudAiplatformV1DeployedModel>>

Output only. The models deployed in this Endpoint. To add or remove DeployedModels use EndpointService.DeployModel and EndpointService.UndeployModel respectively.

etag: Option<String>

Used to perform consistent read-modify-write updates. If not set, a blind “overwrite” update happens.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1Endpoint

fn clone(&self) -> GoogleCloudAiplatformV1Endpoint

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1Endpoint

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1Endpoint

fn default() -> GoogleCloudAiplatformV1Endpoint

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1Endpoint

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1Endpoint

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 GoogleCloudAiplatformV1Endpoint

impl ResponseResult for GoogleCloudAiplatformV1Endpoint