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.
30075 30076 30077 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 30075 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
30053 30054 30055 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 30053 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
30058 30059 30060 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 30058 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
30063 30064 30065 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 30063 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
30068 30069 30070 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 30068 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
30073 30074 30075 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 30073 def trial_job_spec @trial_job_spec end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
30080 30081 30082 30083 30084 30085 30086 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 30080 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 |