Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionHyperparameterTuningJobSpec
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionHyperparameterTuningJobSpec
- 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
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::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StudySpec
Represents specification of a Study.
-
#trial_job_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CustomJobSpec
Represents the spec of a CustomJob.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionHyperparameterTuningJobSpec
constructor
A new instance of GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionHyperparameterTuningJobSpec.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionHyperparameterTuningJobSpec
Returns a new instance of GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionHyperparameterTuningJobSpec.
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20227 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
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20205 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
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20210 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
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20215 def parallel_trial_count @parallel_trial_count 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 20220 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 20225 def trial_job_spec @trial_job_spec 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 20232 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 |