AutoMLJob Class
Definition
Important
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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
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) |
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) |
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. |
Applies to
Azure SDK for .NET