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
Status
type 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 11735 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 11642 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 11648 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 11654 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 11661 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 11671 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 11680 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 11687 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 11692 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 11697 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 11702 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 11708 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 11713 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 11718 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 11723 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 11728 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 11733 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 11740 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 |