ArmMachineLearningModelFactory.AutoMLJob Method
Definition
Important
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Initializes a new instance of AutoMLJob.
public static Azure.ResourceManager.MachineLearning.Models.AutoMLJob AutoMLJob (string description = default, System.Collections.Generic.IDictionary<string,string> properties = default, System.Collections.Generic.IDictionary<string,string> tags = default, Azure.Core.ResourceIdentifier componentId = default, Azure.Core.ResourceIdentifier computeId = default, string displayName = default, string experimentName = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningIdentityConfiguration identity = default, bool? isArchived = default, Azure.ResourceManager.MachineLearning.Models.NotificationSetting notificationSetting = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.SecretConfiguration> secretsConfiguration = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.MachineLearningJobService> services = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobStatus? status = default, string environmentId = default, System.Collections.Generic.IDictionary<string,string> environmentVariables = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.MachineLearningJobOutput> outputs = default, Azure.ResourceManager.MachineLearning.Models.JobQueueSettings queueSettings = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobResourceConfiguration resources = default, Azure.ResourceManager.MachineLearning.Models.AutoMLVertical taskDetails = default);
static member AutoMLJob : string * System.Collections.Generic.IDictionary<string, string> * System.Collections.Generic.IDictionary<string, string> * Azure.Core.ResourceIdentifier * Azure.Core.ResourceIdentifier * string * string * Azure.ResourceManager.MachineLearning.Models.MachineLearningIdentityConfiguration * Nullable<bool> * Azure.ResourceManager.MachineLearning.Models.NotificationSetting * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.SecretConfiguration> * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobService> * Nullable<Azure.ResourceManager.MachineLearning.Models.MachineLearningJobStatus> * string * System.Collections.Generic.IDictionary<string, string> * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobOutput> * Azure.ResourceManager.MachineLearning.Models.JobQueueSettings * Azure.ResourceManager.MachineLearning.Models.MachineLearningJobResourceConfiguration * Azure.ResourceManager.MachineLearning.Models.AutoMLVertical -> Azure.ResourceManager.MachineLearning.Models.AutoMLJob
Public Shared Function AutoMLJob (Optional description As String = Nothing, Optional properties As IDictionary(Of String, String) = Nothing, Optional tags As IDictionary(Of String, String) = Nothing, Optional componentId As ResourceIdentifier = Nothing, Optional computeId As ResourceIdentifier = Nothing, Optional displayName As String = Nothing, Optional experimentName As String = Nothing, Optional identity As MachineLearningIdentityConfiguration = Nothing, Optional isArchived As Nullable(Of Boolean) = Nothing, Optional notificationSetting As NotificationSetting = Nothing, Optional secretsConfiguration As IDictionary(Of String, SecretConfiguration) = Nothing, Optional services As IDictionary(Of String, MachineLearningJobService) = Nothing, Optional status As Nullable(Of MachineLearningJobStatus) = Nothing, Optional environmentId As String = Nothing, Optional environmentVariables As IDictionary(Of String, String) = Nothing, Optional outputs As IDictionary(Of String, MachineLearningJobOutput) = Nothing, Optional queueSettings As JobQueueSettings = Nothing, Optional resources As MachineLearningJobResourceConfiguration = Nothing, Optional taskDetails As AutoMLVertical = Nothing) As AutoMLJob
Parameters
- description
- String
The asset description text.
- properties
- IDictionary<String,String>
The asset property dictionary.
- tags
- IDictionary<String,String>
Tag dictionary. Tags can be added, removed, and updated.
- componentId
- ResourceIdentifier
ARM resource ID of the component resource.
- computeId
- ResourceIdentifier
ARM resource ID of the compute resource.
- displayName
- String
Display name of job.
- experimentName
- String
The name of the experiment the job belongs to. If not set, the job is placed in the "Default" experiment.
- identity
- MachineLearningIdentityConfiguration
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.
- notificationSetting
- NotificationSetting
Notification setting for the job.
- secretsConfiguration
- IDictionary<String,SecretConfiguration>
Configuration for secrets to be made available during runtime.
- services
- IDictionary<String,MachineLearningJobService>
List of JobEndpoints. For local jobs, a job endpoint will have an endpoint value of FileStreamObject.
- status
- Nullable<MachineLearningJobStatus>
Status of the job.
- environmentId
- String
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
- IDictionary<String,String>
Environment variables included in the job.
- outputs
- IDictionary<String,MachineLearningJobOutput>
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.
- queueSettings
- JobQueueSettings
Queue settings for the job.
- resources
- MachineLearningJobResourceConfiguration
Compute Resource configuration for the job.
- taskDetails
- AutoMLVertical
[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.
Returns
A new AutoMLJob instance for mocking.
Applies to
Azure SDK for .NET
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