Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1HyperparameterTuningJob
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1HyperparameterTuningJob
- 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
-
#create_time ⇒ String
Output only.
-
#display_name ⇒ String
Required.
-
#encryption_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EncryptionSpec
Represents a customer-managed encryption key spec that can be applied to a top- level resource.
-
#end_time ⇒ String
Output only.
-
#error ⇒ Google::Apis::AiplatformV1beta1::GoogleRpcStatus
The
Statustype defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. -
#labels ⇒ Hash<String,String>
The labels with user-defined metadata to organize HyperparameterTuningJobs.
-
#max_failed_trial_count ⇒ Fixnum
The number of failed Trials that need to be seen before failing the HyperparameterTuningJob.
-
#max_trial_count ⇒ Fixnum
Required.
-
#name ⇒ String
Output only.
-
#parallel_trial_count ⇒ Fixnum
Required.
-
#start_time ⇒ String
Output only.
-
#state ⇒ String
Output only.
-
#study_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StudySpec
Represents specification of a Study.
-
#trial_job_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CustomJobSpec
Represents the spec of a CustomJob.
-
#trials ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial>
Output only.
-
#update_time ⇒ String
Output only.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1HyperparameterTuningJob
constructor
A new instance of GoogleCloudAiplatformV1beta1HyperparameterTuningJob.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1HyperparameterTuningJob
Returns a new instance of GoogleCloudAiplatformV1beta1HyperparameterTuningJob.
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12109 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
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12016 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
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12022 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
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12028 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
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12035 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
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12045 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
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12054 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
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12061 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
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12066 def max_trial_count @max_trial_count end |
#name ⇒ String
Output only. Resource name of the HyperparameterTuningJob.
Corresponds to the JSON property name
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12071 def name @name end |
#parallel_trial_count ⇒ Fixnum
Required. The desired number of Trials to run in parallel.
Corresponds to the JSON property parallelTrialCount
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12076 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
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12082 def start_time @start_time end |
#state ⇒ String
Output only. The detailed state of the job.
Corresponds to the JSON property state
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12087 def state @state end |
#study_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StudySpec
Represents specification of a Study.
Corresponds to the JSON property studySpec
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12092 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
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12097 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
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12102 def trials @trials end |
#update_time ⇒ String
Output only. Time when the HyperparameterTuningJob was most recently updated.
Corresponds to the JSON property updateTime
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12107 def update_time @update_time end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12114 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 |