Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaTrainingjobDefinitionHyperparameterTuningJobSpec
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaTrainingjobDefinitionHyperparameterTuningJobSpec
- 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
Instance Attribute Summary collapse
-
#max_failed_trial_count ⇒ Fixnum
The number of failed Trials that need to be seen before failing the HyperparameterTuningJob.
-
#max_trial_count ⇒ Fixnum
The desired total number of Trials.
-
#parallel_trial_count ⇒ Fixnum
The desired number of Trials to run in parallel.
-
#study_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StudySpec
Represents specification of a Study.
-
#trial_job_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CustomJobSpec
Represents the spec of a CustomJob.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1SchemaTrainingjobDefinitionHyperparameterTuningJobSpec
constructor
A new instance of GoogleCloudAiplatformV1SchemaTrainingjobDefinitionHyperparameterTuningJobSpec.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1SchemaTrainingjobDefinitionHyperparameterTuningJobSpec
Returns a new instance of GoogleCloudAiplatformV1SchemaTrainingjobDefinitionHyperparameterTuningJobSpec.
23529 23530 23531 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 23529 def initialize(**args) update!(**args) end |
Instance Attribute Details
#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
23507 23508 23509 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 23507 def max_failed_trial_count @max_failed_trial_count end |
#max_trial_count ⇒ Fixnum
The desired total number of Trials.
Corresponds to the JSON property maxTrialCount
23512 23513 23514 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 23512 def max_trial_count @max_trial_count end |
#parallel_trial_count ⇒ Fixnum
The desired number of Trials to run in parallel.
Corresponds to the JSON property parallelTrialCount
23517 23518 23519 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 23517 def parallel_trial_count @parallel_trial_count end |
#study_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StudySpec
Represents specification of a Study.
Corresponds to the JSON property studySpec
23522 23523 23524 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 23522 def study_spec @study_spec end |
#trial_job_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CustomJobSpec
Represents the spec of a CustomJob.
Corresponds to the JSON property trialJobSpec
23527 23528 23529 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 23527 def trial_job_spec @trial_job_spec end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
23534 23535 23536 23537 23538 23539 23540 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 23534 def update!(**args) @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) @parallel_trial_count = args[:parallel_trial_count] if args.key?(:parallel_trial_count) @study_spec = args[:study_spec] if args.key?(:study_spec) @trial_job_spec = args[:trial_job_spec] if args.key?(:trial_job_spec) end |