MachineLearningPipelineJob Class

Definition

Namespace:

Azure.ResourceManager.MachineLearning.Models

Assembly:

Azure.ResourceManager.MachineLearning.dll

Package:

Azure.ResourceManager.MachineLearning v1.1.1

Source:

MachineLearningPipelineJob.cs

Pipeline Job definition: defines generic to MFE attributes.

public class MachineLearningPipelineJob : Azure.ResourceManager.MachineLearning.Models.MachineLearningJobProperties

type MachineLearningPipelineJob = class
    inherit MachineLearningJobProperties

Public Class MachineLearningPipelineJob
Inherits MachineLearningJobProperties

Inheritance

Object

MachineLearningResourceBase

MachineLearningJobProperties

MachineLearningPipelineJob

Constructors

MachineLearningPipelineJob()

Initializes a new instance of MachineLearningPipelineJob.

Properties

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)
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. Please note MachineLearningIdentityConfiguration is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AmlToken, MachineLearningManagedIdentity and MachineLearningUserIdentity. (Inherited from MachineLearningJobProperties)
Inputs	Inputs for the pipeline job. Please note MachineLearningJobInput is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningCustomModelJobInput, MachineLearningLiteralJobInput, MachineLearningFlowModelJobInput, MachineLearningTableJobInput, MachineLearningTritonModelJobInput, MachineLearningUriFileJobInput and MachineLearningUriFolderJobInput.
IsArchived	Is the asset archived?. (Inherited from MachineLearningJobProperties)
Jobs	Jobs construct the Pipeline Job. To assign an object to the value of this property use FromObjectAsJson<T>(T, JsonSerializerOptions). To assign an already formatted json string to this property use FromString(String). Examples: BinaryData.FromObjectAsJson("foo"): Creates a payload of "foo". BinaryData.FromString("\"foo\""): Creates a payload of "foo". BinaryData.FromObjectAsJson(new { key = "value" }): Creates a payload of { "key": "value" }. BinaryData.FromString("{\"key\": \"value\"}"): Creates a payload of { "key": "value" }.
NotificationSetting	Notification setting for the job. (Inherited from MachineLearningJobProperties)
Outputs	Outputs for the pipeline job Please note MachineLearningJobOutput is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningCustomModelJobOutput, MachineLearningFlowModelJobOutput, MachineLearningTableJobOutput, MachineLearningTritonModelJobOutput, MachineLearningUriFileJobOutput and MachineLearningUriFolderJobOutput.
Properties	The asset property dictionary. (Inherited from MachineLearningResourceBase)
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)
Settings	Pipeline settings, for things like ContinueRunOnStepFailure etc. 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: BinaryData.FromObjectAsJson("foo"): Creates a payload of "foo". BinaryData.FromString("\"foo\""): Creates a payload of "foo". BinaryData.FromObjectAsJson(new { key = "value" }): Creates a payload of { "key": "value" }. BinaryData.FromString("{\"key\": \"value\"}"): Creates a payload of { "key": "value" }.
SourceJobId	ARM resource ID of source job.
Status	Status of the job. (Inherited from MachineLearningJobProperties)
Tags	Tag dictionary. Tags can be added, removed, and updated. (Inherited from MachineLearningResourceBase)