Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1HyperparameterTuningJob

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

Represents a HyperparameterTuningJob. A HyperparameterTuningJob has a Study specification and multiple CustomJobs with identical CustomJob specification.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1HyperparameterTuningJob

Returns a new instance of GoogleCloudAiplatformV1beta1HyperparameterTuningJob.



11535
11536
11537
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11535

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

Instance Attribute Details

#create_time ⇒ String

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

Returns:

  • (String) 


11442
11443
11444
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11442

def create_time
  @create_time
end

#display_name ⇒ String

Required. The display name of the HyperparameterTuningJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. Corresponds to the JSON property displayName

Returns:

  • (String) 


11448
11449
11450
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11448

def display_name
  @display_name
end

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

Represents a customer-managed encryption key spec that can be applied to a top- level resource. Corresponds to the JSON property encryptionSpec

Returns:



11454
11455
11456
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11454

def encryption_spec
  @encryption_spec
end

#end_time ⇒ String

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

Returns:

  • (String) 


11461
11462
11463
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11461

def end_time
  @end_time
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:



11471
11472
11473
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11471

def error
  @error
end

#labels ⇒ Hash<String,String>

The labels with user-defined metadata to organize HyperparameterTuningJobs. 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>) 


11480
11481
11482
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11480

def labels
  @labels
end

#max_failed_trial_count ⇒ Fixnum

The number of failed Trials that need to be seen before failing the HyperparameterTuningJob. If set to 0, Vertex AI decides how many Trials must fail before the whole job fails. Corresponds to the JSON property maxFailedTrialCount

Returns:

  • (Fixnum) 


11487
11488
11489
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11487

def max_failed_trial_count
  @max_failed_trial_count
end

#max_trial_count ⇒ Fixnum

Required. The desired total number of Trials. Corresponds to the JSON property maxTrialCount

Returns:

  • (Fixnum) 


11492
11493
11494
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11492

def max_trial_count
  @max_trial_count
end

#name ⇒ String

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

Returns:

  • (String) 


11497
11498
11499
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11497

def name
  @name
end

#parallel_trial_count ⇒ Fixnum

Required. The desired number of Trials to run in parallel. Corresponds to the JSON property parallelTrialCount

Returns:

  • (Fixnum) 


11502
11503
11504
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11502

def parallel_trial_count
  @parallel_trial_count
end

#start_time ⇒ String

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

Returns:

  • (String) 


11508
11509
11510
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11508

def start_time
  @start_time
end

#state ⇒ String

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

Returns:

  • (String) 


11513
11514
11515
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11513

def state
  @state
end

#study_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StudySpec

Represents specification of a Study. Corresponds to the JSON property studySpec

Returns:



11518
11519
11520
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11518

def study_spec
  @study_spec
end

#trial_job_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CustomJobSpec

Represents the spec of a CustomJob. Corresponds to the JSON property trialJobSpec

Returns:



11523
11524
11525
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11523

def trial_job_spec
  @trial_job_spec
end

#trials ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial>

Output only. Trials of the HyperparameterTuningJob. Corresponds to the JSON property trials

Returns:



11528
11529
11530
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11528

def trials
  @trials
end

#update_time ⇒ String

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

Returns:

  • (String) 


11533
11534
11535
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11533

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



11540
11541
11542
11543
11544
11545
11546
11547
11548
11549
11550
11551
11552
11553
11554
11555
11556
11557
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11540

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)
  @labels = args[:labels] if args.key?(:labels)
  @max_failed_trial_count = args[:max_failed_trial_count] if args.key?(:max_failed_trial_count)
  @max_trial_count = args[:max_trial_count] if args.key?(:max_trial_count)
  @name = args[:name] if args.key?(:name)
  @parallel_trial_count = args[:parallel_trial_count] if args.key?(:parallel_trial_count)
  @start_time = args[:start_time] if args.key?(:start_time)
  @state = args[:state] if args.key?(:state)
  @study_spec = args[:study_spec] if args.key?(:study_spec)
  @trial_job_spec = args[:trial_job_spec] if args.key?(:trial_job_spec)
  @trials = args[:trials] if args.key?(:trials)
  @update_time = args[:update_time] if args.key?(:update_time)
end