AutoMLJob Class

Definition

Namespace:

Azure.ResourceManager.MachineLearning.Models

Assembly:

Azure.ResourceManager.MachineLearning.dll

Package:

Azure.ResourceManager.MachineLearning v1.1.1

Source:

AutoMLJob.cs

AutoMLJob class. Use this class for executing AutoML tasks like Classification/Regression etc. See TaskType enum for all the tasks supported.

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

type AutoMLJob = class
    inherit MachineLearningJobProperties

Public Class AutoMLJob
Inherits MachineLearningJobProperties

Inheritance

Object

MachineLearningResourceBase

MachineLearningJobProperties

AutoMLJob

Constructors

AutoMLJob(AutoMLVertical)

Initializes a new instance of AutoMLJob.

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)
EnvironmentId	The ARM resource ID of the Environment specification for the job. This is optional value to provide, if not provided, AutoML will default this to Production AutoML curated environment version when running 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. 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)
IsArchived	Is the asset archived?. (Inherited from MachineLearningJobProperties)
NotificationSetting	Notification setting for the job. (Inherited from MachineLearningJobProperties)
Outputs	Mapping of output data bindings used in the 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)
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)
TaskDetails	[Required] This represents scenario which can be one of Tables/NLP/Image Please note AutoMLVertical 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 ClassificationTask, MachineLearningForecasting, ImageClassification, ImageClassificationMultilabel, ImageInstanceSegmentation, ImageObjectDetection, AutoMLVerticalRegression, TextClassification, TextClassificationMultilabel and TextNer.