Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchPredictionJob

Inherits:
Object
  • Object
show all
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

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) ⇒ GoogleCloudAiplatformV1BatchPredictionJob

Returns a new instance of GoogleCloudAiplatformV1BatchPredictionJob.



2000
2001
2002
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 2000

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

Instance Attribute Details

#completion_stats ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CompletionStats

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

Returns:



1806
1807
1808
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1806

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) 


1811
1812
1813
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1811

def create_time
  @create_time
end

#dedicated_resources ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchDedicatedResources

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:



1817
1818
1819
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1817

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) 


1826
1827
1828
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1826

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) 


1832
1833
1834
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1832

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

Returns:



1838
1839
1840
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1838

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) 


1844
1845
1846
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1844

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

Returns:



1854
1855
1856
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1854

def error
  @error
end

#explanation_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExplanationSpec

Specification of Model explanation. Corresponds to the JSON property explanationSpec

Returns:



1859
1860
1861
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1859

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) 


1872
1873
1874
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1872

def generate_explanation
  @generate_explanation
end

#input_config ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchPredictionJobInputConfig

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:



1880
1881
1882
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1880

def input_config
  @input_config
end

#instance_config ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchPredictionJobInstanceConfig

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

Returns:



1886
1887
1888
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1886

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>) 


1895
1896
1897
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1895

def labels
  @labels
end

#manual_batch_tuning_parameters ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ManualBatchTuningParameters

Manual batch tuning parameters. Corresponds to the JSON property manualBatchTuningParameters

Returns:



1900
1901
1902
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1900

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 and unmanaged_container_model 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) 


1914
1915
1916
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1914

def model
  @model
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) 


1920
1921
1922
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1920

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) 


1926
1927
1928
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1926

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) 


1931
1932
1933
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1931

def name
  @name
end

#output_config ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchPredictionJobOutputConfig

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:



1938
1939
1940
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1938

def output_config
  @output_config
end

#output_info ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchPredictionJobOutputInfo

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

Returns:



1943
1944
1945
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1943

def output_info
  @output_info
end

#partial_failures ⇒ Array<Google::Apis::AiplatformV1::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:



1950
1951
1952
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1950

def partial_failures
  @partial_failures
end

#resources_consumed ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ResourcesConsumed

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

Returns:



1955
1956
1957
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1955

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) 


1960
1961
1962
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1960

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) 


1966
1967
1968
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1966

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) 


1976
1977
1978
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1976

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) 


1982
1983
1984
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1982

def start_time
  @start_time
end

#state ⇒ String

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

Returns:

  • (String) 


1987
1988
1989
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1987

def state
  @state
end

#unmanaged_container_model ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1UnmanagedContainerModel

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

Returns:



1993
1994
1995
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1993

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) 


1998
1999
2000
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 1998

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 2005

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)
  @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_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