NasJobSpec_MultiTrialAlgorithmSpec class final

The spec of multi-trial Neural Architecture Search (NAS).

Inheritance

Constructors

NasJobSpec_MultiTrialAlgorithmSpec({NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm multiTrialAlgorithm = NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm.$default, NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec? metric, required NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec? searchTrialSpec, NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec? trainTrialSpec})
NasJobSpec_MultiTrialAlgorithmSpec.fromJson(Object? j): factory

hashCode → int: The hash code for this object.
no setterinherited
metric → NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec?: Metric specs for the NAS job. Validation for this field is done at multi_trial_algorithm_spec field.
final
multiTrialAlgorithm → NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm: The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.
final
qualifiedName → String: The fully qualified name of this message, i.e., google.protobuf.Duration or google.rpc.ErrorInfo.
finalinherited
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited
searchTrialSpec → NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec?: Required. Spec for search trials.
final
trainTrialSpec → NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec?: Spec for train trials. Top N TrainTrialSpec.max_parallel_trial_count search trials will be trained for every M TrainTrialSpec.frequency trials searched.
final

noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
toJson() → Object: override
toString() → String: A string representation of this object.
override