Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineJob
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineJob
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb
Overview
An instance of a machine learning PipelineJob.
Instance Attribute Summary collapse
-
#create_time ⇒ String
Output only.
-
#display_name ⇒ String
The display name of the Pipeline.
-
#encryption_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EncryptionSpec
Represents a customer-managed encryption key spec that can be applied to a top- level resource.
-
#end_time ⇒ String
Output only.
-
#error ⇒ Google::Apis::AiplatformV1::GoogleRpcStatus
The
Statustype defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. -
#job_detail ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineJobDetail
The runtime detail of PipelineJob.
-
#labels ⇒ Hash<String,String>
The labels with user-defined metadata to organize PipelineJob.
-
#name ⇒ String
Output only.
-
#network ⇒ String
The full name of the Compute Engine network to which the Pipeline Job's workload should be peered.
-
#pipeline_spec ⇒ Hash<String,Object>
The spec of the pipeline.
-
#preflight_validations ⇒ Boolean
(also: #preflight_validations?)
Optional.
-
#reserved_ip_ranges ⇒ Array<String>
A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload.
-
#runtime_config ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineJobRuntimeConfig
The runtime config of a PipelineJob.
-
#schedule_name ⇒ String
Output only.
-
#service_account ⇒ String
The service account that the pipeline workload runs as.
-
#start_time ⇒ String
Output only.
-
#state ⇒ String
Output only.
-
#template_metadata ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineTemplateMetadata
Pipeline template metadata if PipelineJob.template_uri is from supported template registry.
-
#template_uri ⇒ String
A template uri from where the PipelineJob.pipeline_spec, if empty, will be downloaded.
-
#update_time ⇒ String
Output only.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1PipelineJob
constructor
A new instance of GoogleCloudAiplatformV1PipelineJob.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1PipelineJob
Returns a new instance of GoogleCloudAiplatformV1PipelineJob.
20034 20035 20036 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 20034 def initialize(**args) update!(**args) end |
Instance Attribute Details
#create_time ⇒ String
Output only. Pipeline creation time.
Corresponds to the JSON property createTime
19901 19902 19903 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19901 def create_time @create_time end |
#display_name ⇒ String
The display name of the Pipeline. The name can be up to 128 characters long
and can consist of any UTF-8 characters.
Corresponds to the JSON property displayName
19907 19908 19909 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19907 def display_name @display_name end |
#encryption_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EncryptionSpec
Represents a customer-managed encryption key spec that can be applied to a top-
level resource.
Corresponds to the JSON property encryptionSpec
19913 19914 19915 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19913 def encryption_spec @encryption_spec end |
#end_time ⇒ String
Output only. Pipeline end time.
Corresponds to the JSON property endTime
19918 19919 19920 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19918 def end_time @end_time end |
#error ⇒ Google::Apis::AiplatformV1::GoogleRpcStatus
The Status type defines a logical error model that is suitable for different
programming environments, including REST APIs and RPC APIs. It is used by
gRPC. Each Status message contains three pieces of
data: error code, error message, and error details. You can find out more
about this error model and how to work with it in the API Design Guide.
Corresponds to the JSON property error
19928 19929 19930 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19928 def error @error end |
#job_detail ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineJobDetail
The runtime detail of PipelineJob.
Corresponds to the JSON property jobDetail
19933 19934 19935 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19933 def job_detail @job_detail end |
#labels ⇒ Hash<String,String>
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.
Corresponds to the JSON property labels
19944 19945 19946 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19944 def labels @labels end |
#name ⇒ String
Output only. The resource name of the PipelineJob.
Corresponds to the JSON property name
19949 19950 19951 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19949 def name @name end |
#network ⇒ String
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`. Whereprojectis a project number, as in12345, and
networkis 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.
Corresponds to the JSON propertynetwork`
19963 19964 19965 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19963 def network @network end |
#pipeline_spec ⇒ Hash<String,Object>
The spec of the pipeline.
Corresponds to the JSON property pipelineSpec
19968 19969 19970 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19968 def pipeline_spec @pipeline_spec end |
#preflight_validations ⇒ Boolean Also known as: preflight_validations?
Optional. Whether to do component level validations before job creation.
Corresponds to the JSON property preflightValidations
19973 19974 19975 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19973 def preflight_validations @preflight_validations end |
#reserved_ip_ranges ⇒ Array<String>
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'
].
Corresponds to the JSON property reservedIpRanges
19983 19984 19985 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19983 def reserved_ip_ranges @reserved_ip_ranges end |
#runtime_config ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineJobRuntimeConfig
The runtime config of a PipelineJob.
Corresponds to the JSON property runtimeConfig
19988 19989 19990 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19988 def runtime_config @runtime_config end |
#schedule_name ⇒ String
Output only. The schedule resource name. Only returned if the Pipeline is
created by Schedule API.
Corresponds to the JSON property scheduleName
19994 19995 19996 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19994 def schedule_name @schedule_name end |
#service_account ⇒ String
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.
Corresponds to the JSON property serviceAccount
20003 20004 20005 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 20003 def service_account @service_account end |
#start_time ⇒ String
Output only. Pipeline start time.
Corresponds to the JSON property startTime
20008 20009 20010 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 20008 def start_time @start_time end |
#state ⇒ String
Output only. The detailed state of the job.
Corresponds to the JSON property state
20013 20014 20015 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 20013 def state @state end |
#template_metadata ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineTemplateMetadata
Pipeline template metadata if PipelineJob.template_uri is from supported
template registry. Currently, the only supported registry is Artifact Registry.
Corresponds to the JSON property templateMetadata
20019 20020 20021 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 20019 def @template_metadata end |
#template_uri ⇒ String
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.
Corresponds to the JSON property templateUri
20027 20028 20029 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 20027 def template_uri @template_uri end |
#update_time ⇒ String
Output only. Timestamp when this PipelineJob was most recently updated.
Corresponds to the JSON property updateTime
20032 20033 20034 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 20032 def update_time @update_time end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
20039 20040 20041 20042 20043 20044 20045 20046 20047 20048 20049 20050 20051 20052 20053 20054 20055 20056 20057 20058 20059 20060 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 20039 def update!(**args) @create_time = args[:create_time] if args.key?(:create_time) @display_name = args[:display_name] if args.key?(:display_name) @encryption_spec = args[:encryption_spec] if args.key?(:encryption_spec) @end_time = args[:end_time] if args.key?(:end_time) @error = args[:error] if args.key?(:error) @job_detail = args[:job_detail] if args.key?(:job_detail) @labels = args[:labels] if args.key?(:labels) @name = args[:name] if args.key?(:name) @network = args[:network] if args.key?(:network) @pipeline_spec = args[:pipeline_spec] if args.key?(:pipeline_spec) @preflight_validations = args[:preflight_validations] if args.key?(:preflight_validations) @reserved_ip_ranges = args[:reserved_ip_ranges] if args.key?(:reserved_ip_ranges) @runtime_config = args[:runtime_config] if args.key?(:runtime_config) @schedule_name = args[:schedule_name] if args.key?(:schedule_name) @service_account = args[:service_account] if args.key?(:service_account) @start_time = args[:start_time] if args.key?(:start_time) @state = args[:state] if args.key?(:state) @template_metadata = args[:template_metadata] if args.key?(:template_metadata) @template_uri = args[:template_uri] if args.key?(:template_uri) @update_time = args[:update_time] if args.key?(:update_time) end |