Cloud AI Platform v1 API - Class Endpoint (2.8.0)

Reference documentation and code samples for the Cloud AI Platform v1 API class Endpoint.

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

Output only. Timestamp when this Endpoint was created.

Output only. The models deployed in this Endpoint. To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.

The description of the Endpoint.

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

Deprecated: If true, expose the Endpoint via private service connect.

Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect], can be set.

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.

EndpointName-typed view over the Name resource name property.

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

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.

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

ModelDeploymentMonitoringJobName-typed view over the ModelDeploymentMonitoringJob resource name property.

Output only. The resource name of the Endpoint.

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][google.cloud.aiplatform.v1.Endpoint.network] or [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.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.

NetworkName-typed view over the Network resource name property.

Configures the request-response logging for online prediction.

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.

Output only. Timestamp when this Endpoint was last updated.