GoogleCloudAiplatformV1PipelineJob
import type { GoogleCloudAiplatformV1PipelineJob } from "https://googleapis.deno.dev/v1/aiplatform:v1.ts";
An instance of a machine learning PipelineJob.
§Properties
The display name of the Pipeline. The name can be up to 128 characters long and can consist of any UTF-8 characters.
Customer-managed encryption key spec for a pipelineJob. If set, this PipelineJob and all of its sub-resources will be secured by this key.
Output only. The error that occurred during pipeline execution. Only populated when the pipeline's state is FAILED or CANCELLED.
Output only. The details of pipeline run. Not available in the list view.
The labels with user-defined metadata to organize PipelineJob. 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. Note there is some reserved label key
for Vertex AI Pipelines. - vertex-ai-pipelines-run-billing-id
, user set
value will get overrided.
The full name of the Compute Engine
network to which the
Pipeline Job's workload should be peered. For example,
projects/12345/global/networks/myVPC
.
Format is of the form
projects/{project}/global/networks/{network}
. Where {project} is a
project number, as in 12345
, and {network} is a network name. Private
services access must already be configured for the network. Pipeline job
will apply the network configuration to the Google Cloud resources being
launched, if applied, such as Vertex AI Training or Dataflow job. If left
unspecified, the workload is not peered with any network.
A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
Runtime config of the pipeline.
Output only. The schedule resource name. Only returned if the Pipeline is created by Schedule API.
The service account that the pipeline workload runs as. If not specified,
the Compute Engine default service account in the project will be used. See
https://cloud.google.com/compute/docs/access/service-accounts#default_service_account
Users starting the pipeline must have the iam.serviceAccounts.actAs
permission on this service account.
Output only. The detailed state of the job.
Output only. Pipeline template metadata. Will fill up fields if PipelineJob.template_uri is from supported template registry.
A template uri from where the PipelineJob.pipeline_spec, if empty, will be downloaded. Currently, only uri from Vertex Template Registry & Gallery is supported. Reference to https://cloud.google.com/vertex-ai/docs/pipelines/create-pipeline-template.