Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJob

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

A job that uses a Model to produce predictions on multiple input instances. If predictions for significant portion of the instances fail, the job may finish without attempting predictions for all remaining instances.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1BatchPredictionJob

Returns a new instance of GoogleCloudAiplatformV1beta1BatchPredictionJob.



10470
10471
10472
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10470

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#completion_stats ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CompletionStats

Success and error statistics of processing multiple entities (for example, DataItems or structured data rows) in batch. Corresponds to the JSON property completionStats

Returns:



10247
10248
10249
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10247

def completion_stats
  @completion_stats
end

#create_time ⇒ String

Output only. Time when the BatchPredictionJob was created. Corresponds to the JSON property createTime

Returns:

  • (String) 


10252
10253
10254
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10252

def create_time
  @create_time
end

#dedicated_resources ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchDedicatedResources

A description of resources that are used for performing batch operations, are dedicated to a Model, and need manual configuration. Corresponds to the JSON property dedicatedResources

Returns:



10258
10259
10260
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10258

def dedicated_resources
  @dedicated_resources
end

#disable_container_logging ⇒ Boolean Also known as: disable_container_logging?

For custom-trained Models and AutoML Tabular Models, the container of the DeployedModel instances will send stderr and stdout streams to Cloud Logging by default. Please note that the logs incur cost, which are subject to Cloud Logging pricing. User can disable container logging by setting this flag to true. Corresponds to the JSON property disableContainerLogging

Returns:

  • (Boolean) 


10267
10268
10269
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10267

def disable_container_logging
  @disable_container_logging
end

#display_name ⇒ String

Required. The user-defined name of this BatchPredictionJob. Corresponds to the JSON property displayName

Returns:

  • (String) 


10273
10274
10275
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10273

def display_name
  @display_name
end

#encryption_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EncryptionSpec

Represents a customer-managed encryption key specification that can be applied to a Vertex AI resource. Corresponds to the JSON property encryptionSpec

Returns:



10279
10280
10281
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10279

def encryption_spec
  @encryption_spec
end

#end_time ⇒ String

Output only. Time when the BatchPredictionJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED. Corresponds to the JSON property endTime

Returns:

  • (String) 


10285
10286
10287
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10285

def end_time
  @end_time
end

#endpoint ⇒ String

For Bring-Your-Own-Endpoint (BYOE), the name of the Endpoint resource that produces the predictions via this job, must share the same ancestor Location. Exactly one of model, unmanaged_container_model, or endpoint must be set. Example: projects/193595526740/locations/us-central1/endpoints/ 4203439000301600768 Corresponds to the JSON property endpoint

Returns:

  • (String) 


10294
10295
10296
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10294

def endpoint
  @endpoint
end

#error ⇒ Google::Apis::AiplatformV1beta1::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

Returns:



10304
10305
10306
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10304

def error
  @error
end

#explanation_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExplanationSpec

Specification of Model explanation. Corresponds to the JSON property explanationSpec

Returns:



10309
10310
10311
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10309

def explanation_spec
  @explanation_spec
end

#generate_explanation ⇒ Boolean Also known as: generate_explanation?

Generate explanation with the batch prediction results. When set to true, the batch prediction output changes based on the predictions_format field of the BatchPredictionJob.output_config object: * bigquery: output includes a column named explanation. The value is a struct that conforms to the Explanation object. * jsonl: The JSON objects on each line include an additional entry keyed explanation. The value of the entry is a JSON object that conforms to the Explanation object. * csv: Generating explanations for CSV format is not supported. If this field is set to true, either the Model. explanation_spec or explanation_spec must be populated. Corresponds to the JSON property generateExplanation

Returns:

  • (Boolean) 


10322
10323
10324
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10322

def generate_explanation
  @generate_explanation
end

#input_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJobInputConfig

Configures the input to BatchPredictionJob. See Model. supported_input_storage_formats for Model's supported input formats, and how instances should be expressed via any of them. Corresponds to the JSON property inputConfig

Returns:



10330
10331
10332
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10330

def input_config
  @input_config
end

#instance_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJobInstanceConfig

Configuration defining how to transform batch prediction input instances to the instances that the Model accepts. Corresponds to the JSON property instanceConfig

Returns:



10336
10337
10338
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10336

def instance_config
  @instance_config
end

#labels ⇒ Hash<String,String>

The labels with user-defined metadata to organize BatchPredictionJobs. 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. Corresponds to the JSON property labels

Returns:

  • (Hash<String,String>) 


10345
10346
10347
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10345

def labels
  @labels
end

#manual_batch_tuning_parameters ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ManualBatchTuningParameters

Manual batch tuning parameters. Corresponds to the JSON property manualBatchTuningParameters

Returns:



10350
10351
10352
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10350

def manual_batch_tuning_parameters
  @manual_batch_tuning_parameters
end

#model ⇒ String

The name of the Model resource that produces the predictions via this job, must share the same ancestor Location. Starting this job has no impact on any existing deployments of the Model and their resources. Exactly one of model, unmanaged_container_model, or endpoint must be set. The model resource name may contain version id or version alias to specify the version. Example: projects/project/locations/location/models/model@2 or projects/ project/locations/location/models/model@golden if no version is specified, the default version will be deployed. The model resource could also be a publisher model. Example: publishers/publisher/models/modelor ` projects/`project`/locations/`location`/publishers/`publisher`/models/`model Corresponds to the JSON property model

Returns:

  • (String) 


10364
10365
10366
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10364

def model
  @model
end

#model_monitoring_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringConfig

The model monitoring configuration used for Batch Prediction Job. Corresponds to the JSON property modelMonitoringConfig

Returns:



10369
10370
10371
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10369

def model_monitoring_config
  @model_monitoring_config
end

#model_monitoring_stats_anomalies ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringStatsAnomalies>

Get batch prediction job monitoring statistics. Corresponds to the JSON property modelMonitoringStatsAnomalies

Returns:



10374
10375
10376
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10374

def model_monitoring_stats_anomalies
  @model_monitoring_stats_anomalies
end

#model_monitoring_status ⇒ Google::Apis::AiplatformV1beta1::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 modelMonitoringStatus

Returns:



10384
10385
10386
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10384

def model_monitoring_status
  @model_monitoring_status
end

#model_parameters ⇒ Object

The parameters that govern the predictions. The schema of the parameters may be specified via the Model's PredictSchemata's parameters_schema_uri. Corresponds to the JSON property modelParameters

Returns:

  • (Object) 


10390
10391
10392
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10390

def model_parameters
  @model_parameters
end

#model_version_id ⇒ String

Output only. The version ID of the Model that produces the predictions via this job. Corresponds to the JSON property modelVersionId

Returns:

  • (String) 


10396
10397
10398
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10396

def model_version_id
  @model_version_id
end

#name ⇒ String

Output only. Resource name of the BatchPredictionJob. Corresponds to the JSON property name

Returns:

  • (String) 


10401
10402
10403
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10401

def name
  @name
end

#output_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJobOutputConfig

Configures the output of BatchPredictionJob. See Model. supported_output_storage_formats for supported output formats, and how predictions are expressed via any of them. Corresponds to the JSON property outputConfig

Returns:



10408
10409
10410
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10408

def output_config
  @output_config
end

#output_info ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJobOutputInfo

Further describes this job's output. Supplements output_config. Corresponds to the JSON property outputInfo

Returns:



10413
10414
10415
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10413

def output_info
  @output_info
end

#partial_failures ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleRpcStatus>

Output only. Partial failures encountered. For example, single files that can' t be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details. Corresponds to the JSON property partialFailures

Returns:



10420
10421
10422
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10420

def partial_failures
  @partial_failures
end

#resources_consumed ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ResourcesConsumed

Statistics information about resource consumption. Corresponds to the JSON property resourcesConsumed

Returns:



10425
10426
10427
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10425

def resources_consumed
  @resources_consumed
end

#satisfies_pzi ⇒ Boolean Also known as: satisfies_pzi?

Output only. Reserved for future use. Corresponds to the JSON property satisfiesPzi

Returns:

  • (Boolean) 


10430
10431
10432
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10430

def satisfies_pzi
  @satisfies_pzi
end

#satisfies_pzs ⇒ Boolean Also known as: satisfies_pzs?

Output only. Reserved for future use. Corresponds to the JSON property satisfiesPzs

Returns:

  • (Boolean) 


10436
10437
10438
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10436

def satisfies_pzs
  @satisfies_pzs
end

#service_account ⇒ String

The service account that the DeployedModel's container runs as. If not specified, a system generated one will be used, which has minimal permissions and the custom container, if used, may not have enough permission to access other Google Cloud resources. Users deploying the Model must have the iam. serviceAccounts.actAs permission on this service account. Corresponds to the JSON property serviceAccount

Returns:

  • (String) 


10446
10447
10448
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10446

def 
  @service_account
end

#start_time ⇒ String

Output only. Time when the BatchPredictionJob for the first time entered the JOB_STATE_RUNNING state. Corresponds to the JSON property startTime

Returns:

  • (String) 


10452
10453
10454
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10452

def start_time
  @start_time
end

#state ⇒ String

Output only. The detailed state of the job. Corresponds to the JSON property state

Returns:

  • (String) 


10457
10458
10459
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10457

def state
  @state
end

#unmanaged_container_model ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1UnmanagedContainerModel

Contains model information necessary to perform batch prediction without requiring a full model import. Corresponds to the JSON property unmanagedContainerModel

Returns:



10463
10464
10465
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10463

def unmanaged_container_model
  @unmanaged_container_model
end

#update_time ⇒ String

Output only. Time when the BatchPredictionJob was most recently updated. Corresponds to the JSON property updateTime

Returns:

  • (String) 


10468
10469
10470
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10468

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



10475
10476
10477
10478
10479
10480
10481
10482
10483
10484
10485
10486
10487
10488
10489
10490
10491
10492
10493
10494
10495
10496
10497
10498
10499
10500
10501
10502
10503
10504
10505
10506
10507
10508
10509
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10475

def update!(**args)
  @completion_stats = args[:completion_stats] if args.key?(:completion_stats)
  @create_time = args[:create_time] if args.key?(:create_time)
  @dedicated_resources = args[:dedicated_resources] if args.key?(:dedicated_resources)
  @disable_container_logging = args[:disable_container_logging] if args.key?(:disable_container_logging)
  @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)
  @endpoint = args[:endpoint] if args.key?(:endpoint)
  @error = args[:error] if args.key?(:error)
  @explanation_spec = args[:explanation_spec] if args.key?(:explanation_spec)
  @generate_explanation = args[:generate_explanation] if args.key?(:generate_explanation)
  @input_config = args[:input_config] if args.key?(:input_config)
  @instance_config = args[:instance_config] if args.key?(:instance_config)
  @labels = args[:labels] if args.key?(:labels)
  @manual_batch_tuning_parameters = args[:manual_batch_tuning_parameters] if args.key?(:manual_batch_tuning_parameters)
  @model = args[:model] if args.key?(:model)
  @model_monitoring_config = args[:model_monitoring_config] if args.key?(:model_monitoring_config)
  @model_monitoring_stats_anomalies = args[:model_monitoring_stats_anomalies] if args.key?(:model_monitoring_stats_anomalies)
  @model_monitoring_status = args[:model_monitoring_status] if args.key?(:model_monitoring_status)
  @model_parameters = args[:model_parameters] if args.key?(:model_parameters)
  @model_version_id = args[:model_version_id] if args.key?(:model_version_id)
  @name = args[:name] if args.key?(:name)
  @output_config = args[:output_config] if args.key?(:output_config)
  @output_info = args[:output_info] if args.key?(:output_info)
  @partial_failures = args[:partial_failures] if args.key?(:partial_failures)
  @resources_consumed = args[:resources_consumed] if args.key?(:resources_consumed)
  @satisfies_pzi = args[:satisfies_pzi] if args.key?(:satisfies_pzi)
  @satisfies_pzs = args[:satisfies_pzs] if args.key?(:satisfies_pzs)
  @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)
  @unmanaged_container_model = args[:unmanaged_container_model] if args.key?(:unmanaged_container_model)
  @update_time = args[:update_time] if args.key?(:update_time)
end