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.



12104
12105
12106
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12104

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) 


12011
12012
12013
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12011

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) 


12017
12018
12019
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12017

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:



12023
12024
12025
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12023

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) 


12030
12031
12032
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12030

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:



12040
12041
12042
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12040

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>) 


12049
12050
12051
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12049

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) 


12056
12057
12058
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12056

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) 


12061
12062
12063
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12061

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) 


12066
12067
12068
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12066

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) 


12071
12072
12073
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12071

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) 


12077
12078
12079
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12077

def start_time
  @start_time
end

#state ⇒ String

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

Returns:

  • (String) 


12082
12083
12084
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12082

def state
  @state
end

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

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

Returns:



12087
12088
12089
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12087

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:



12092
12093
12094
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12092

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:



12097
12098
12099
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12097

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) 


12102
12103
12104
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12102

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



12109
12110
12111
12112
12113
12114
12115
12116
12117
12118
12119
12120
12121
12122
12123
12124
12125
12126
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12109

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