Scheduling class - aiplatform library

Constructors

Scheduling({Duration? timeout, bool restartJobOnWorkerRestart = false, Scheduling_Strategy strategy = Scheduling_Strategy.$default, bool disableRetries = false, Duration? maxWaitDuration})
Scheduling.fromJson(Map<String, dynamic> json): factory

disableRetries → bool: Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides Scheduling.restart_job_on_worker_restart to false.
final
hashCode → int: The hash code for this object.
no setterinherited
maxWaitDuration → Duration?: Optional. This is the maximum duration that a job will wait for the requested resources to be provisioned if the scheduling strategy is set to Strategy.DWS_FLEX_START. If set to 0, the job will wait indefinitely. The default is 24 hours.
final
qualifiedName → String: The fully qualified name of this message, i.e., google.protobuf.Duration or google.rpc.ErrorInfo.
finalinherited
restartJobOnWorkerRestart → bool: Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
final
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited
strategy → Scheduling_Strategy: Optional. This determines which type of scheduling strategy to use.
final
timeout → Duration?: The maximum job running time. The default is 7 days.
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