gcva_create_endpoint: Creates a Vertex AI Endpoint

In justinjm/googleCloudVertexAIR: Google Cloud Vertex AI API Into R

Creates a Vertex AI Endpoint

Description

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

Usage

gcva_create_endpoint(
  projectId = gcva_project_get(),
  locationId = gcva_region_get(),
  name = NULL,
  displayName = NULL,
  description = NULL,
  deployedModels = NULL,
  trafficSplit = NULL,
  etag = NULL,
  labels = NULL,
  createTime = NULL,
  updateTime = NULL,
  encryptionSpec = NULL,
  network = NULL,
  enablePrivateServiceConnect = NULL,
  modelDeploymentMonitoringJob = NULL,
  predictRequestResponseLoggingConfig = NULL
)

Arguments

displayName

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

Value

Endpoint object https://cloud.google.com/vertex-ai/docs/reference/rest/Shared.Types/ListOperationsResponse#Operation

See Also

Other Endpoints: gcva_delete_endpoint(), gcva_deploy(), gcva_endpoint(), gcva_list_endpoints(), gcva_predict(), gcva_undeploy(), gcva_wait_for_model_deploy()

justinjm/googleCloudVertexAIR documentation built on April 17, 2025, 5:04 p.m.