MachineLearningCommandJob Class
Definition
Important
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Command job definition.
public class MachineLearningCommandJob : Azure.ResourceManager.MachineLearning.Models.MachineLearningJobProperties, System.ClientModel.Primitives.IJsonModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningCommandJob>, System.ClientModel.Primitives.IPersistableModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningCommandJob>public class MachineLearningCommandJob : Azure.ResourceManager.MachineLearning.Models.MachineLearningJobPropertiestype MachineLearningCommandJob = class
inherit MachineLearningJobProperties
interface IJsonModel<MachineLearningCommandJob>
interface IPersistableModel<MachineLearningCommandJob>type MachineLearningCommandJob = class
inherit MachineLearningJobPropertiesPublic Class MachineLearningCommandJob
Inherits MachineLearningJobProperties
Implements IJsonModel(Of MachineLearningCommandJob), IPersistableModel(Of MachineLearningCommandJob)Public Class MachineLearningCommandJob
Inherits MachineLearningJobProperties- Inheritance
- Implements
Constructors
| Name | Description |
|---|---|
| MachineLearningCommandJob(String, ResourceIdentifier) |
Initializes a new instance of MachineLearningCommandJob. |
Properties
| Name | Description |
|---|---|
| CodeId |
ARM resource ID of the code asset. |
| Command |
[Required] The command to execute on startup of the job. eg. "python train.py". |
| 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) |
| Distribution |
Distribution configuration of the job. If set, this should be one of Mpi, Tensorflow, PyTorch, or null. |
| EnvironmentId |
[Required] The ARM resource ID of the Environment specification for the job. |
| EnvironmentVariables |
Environment variables included in the job. |
| 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) |
| MlflowAutologger |
[Required] Indicates whether mlflow autologger is enabled. |
| NotificationSetting |
Notification setting for the job. (Inherited from MachineLearningJobProperties) |
| Outputs |
Mapping of output data bindings used in the job. |
| Parameters |
Input parameters. 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:
|
| Properties |
The asset property dictionary. (Inherited from MachineLearningResourceBase) |
| QueueJobTier |
Enum to determine the job tier. |
| QueueSettings |
Queue settings for the job. |
| Resources |
Compute Resource configuration for the job. |
| 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) |
