MachineLearningSweepJob Class
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
Sweep job definition.
public class MachineLearningSweepJob : Azure.ResourceManager.MachineLearning.Models.MachineLearningJobProperties, System.ClientModel.Primitives.IJsonModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningSweepJob>, System.ClientModel.Primitives.IPersistableModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningSweepJob>public class MachineLearningSweepJob : Azure.ResourceManager.MachineLearning.Models.MachineLearningJobPropertiestype MachineLearningSweepJob = class
inherit MachineLearningJobProperties
interface IJsonModel<MachineLearningSweepJob>
interface IPersistableModel<MachineLearningSweepJob>type MachineLearningSweepJob = class
inherit MachineLearningJobPropertiesPublic Class MachineLearningSweepJob
Inherits MachineLearningJobProperties
Implements IJsonModel(Of MachineLearningSweepJob), IPersistableModel(Of MachineLearningSweepJob)Public Class MachineLearningSweepJob
Inherits MachineLearningJobProperties- Inheritance
- Implements
Constructors
| Name | Description |
|---|---|
| MachineLearningSweepJob(BinaryData, SamplingAlgorithm, MachineLearningObjective, MachineLearningTrialComponent) |
Initializes a new instance of MachineLearningSweepJob. |
| MachineLearningSweepJob(MachineLearningObjective, SamplingAlgorithm, BinaryData, MachineLearningTrialComponent) |
Initializes a new instance of MachineLearningSweepJob. |
Properties
| Name | Description |
|---|---|
| ComponentId |
ARM resource ID of the component resource. (Inherited from MachineLearningJobProperties) |
| ComputeId |
ARM resource ID of the compute resource. (Inherited from MachineLearningJobProperties) |
| Description |
The asset description text. (Inherited from MachineLearningResourceBase) |
| DisplayName |
Display name of job. (Inherited from MachineLearningJobProperties) |
| EarlyTermination |
Early termination policies enable canceling poor-performing runs before they complete. |
| ExperimentName |
The name of the experiment the job belongs to. If not set, the job is placed in the "Default" experiment. (Inherited from MachineLearningJobProperties) |
| Identity |
Identity configuration. If set, this should be one of AmlToken, ManagedIdentity, UserIdentity or null. Defaults to AmlToken if null. (Inherited from MachineLearningJobProperties) |
| Inputs |
Mapping of input data bindings used in the job. |
| IsArchived |
Is the asset archived?. (Inherited from MachineLearningJobProperties) |
| Limits |
Sweep Job limit. |
| NotificationSetting |
Notification setting for the job. (Inherited from MachineLearningJobProperties) |
| Objective |
[Required] Optimization objective. |
| Outputs |
Mapping of output data bindings used in the job. |
| Properties |
The asset property dictionary. (Inherited from MachineLearningResourceBase) |
| QueueJobTier |
Enum to determine the job tier. |
| QueueSettings |
Queue settings for the job. |
| SamplingAlgorithm |
[Required] The hyperparameter sampling algorithm. |
| SearchSpace |
[Required] A dictionary containing each parameter and its distribution. The dictionary key is the name of the parameter To assign an object to this property use FromObjectAsJson<T>(T, JsonSerializerOptions). To assign an already formatted json string to this property use FromString(String). Examples:
|
| SecretsConfiguration |
Configuration for secrets to be made available during runtime. (Inherited from MachineLearningJobProperties) |
| Services |
List of JobEndpoints. For local jobs, a job endpoint will have an endpoint value of FileStreamObject. (Inherited from MachineLearningJobProperties) |
| Status |
Status of the job. (Inherited from MachineLearningJobProperties) |
| Tags |
Tag dictionary. Tags can be added, removed, and updated. (Inherited from MachineLearningResourceBase) |
| Trial |
[Required] Trial component definition. |
