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ArmMachineLearningModelFactory.LabelingJobProperties 方法

参考

定义

命名空间:: Azure.ResourceManager.MachineLearning.Models

程序集:: Azure.ResourceManager.MachineLearning.dll

包:: Azure.ResourceManager.MachineLearning v1.2.0-beta.2

重要

一些信息与预发行产品相关，相应产品在发行之前可能会进行重大修改。对于此处提供的信息，Microsoft 不作任何明示或暗示的担保。

初始化 LabelingJobProperties 的新实例。

public static Azure.ResourceManager.MachineLearning.Models.LabelingJobProperties LabelingJobProperties (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, DateTimeOffset? createdOn = default, Azure.ResourceManager.MachineLearning.Models.LabelingDataConfiguration dataConfiguration = default, Uri jobInstructionsUri = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.LabelCategory> labelCategories = default, Azure.ResourceManager.MachineLearning.Models.LabelingJobMediaProperties labelingJobMediaProperties = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningAssistConfiguration mlAssistConfiguration = default, Azure.ResourceManager.MachineLearning.Models.ProgressMetrics progressMetrics = default, Guid? projectId = default, Azure.ResourceManager.MachineLearning.Models.JobProvisioningState? provisioningState = default, System.Collections.Generic.IEnumerable<Azure.ResourceManager.MachineLearning.Models.JobStatusMessage> statusMessages = default);

static member LabelingJobProperties : 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> * Nullable<DateTimeOffset> * Azure.ResourceManager.MachineLearning.Models.LabelingDataConfiguration * Uri * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.LabelCategory> * Azure.ResourceManager.MachineLearning.Models.LabelingJobMediaProperties * Azure.ResourceManager.MachineLearning.Models.MachineLearningAssistConfiguration * Azure.ResourceManager.MachineLearning.Models.ProgressMetrics * Nullable<Guid> * Nullable<Azure.ResourceManager.MachineLearning.Models.JobProvisioningState> * seq<Azure.ResourceManager.MachineLearning.Models.JobStatusMessage> -> Azure.ResourceManager.MachineLearning.Models.LabelingJobProperties

Public Shared Function LabelingJobProperties (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 createdOn As Nullable(Of DateTimeOffset) = Nothing, Optional dataConfiguration As LabelingDataConfiguration = Nothing, Optional jobInstructionsUri As Uri = Nothing, Optional labelCategories As IDictionary(Of String, LabelCategory) = Nothing, Optional labelingJobMediaProperties As LabelingJobMediaProperties = Nothing, Optional mlAssistConfiguration As MachineLearningAssistConfiguration = Nothing, Optional progressMetrics As ProgressMetrics = Nothing, Optional projectId As Nullable(Of Guid) = Nothing, Optional provisioningState As Nullable(Of JobProvisioningState) = Nothing, Optional statusMessages As IEnumerable(Of JobStatusMessage) = Nothing) As LabelingJobProperties

参数

description: String

资产说明文本。

properties: IDictionary<String,String>

资产属性字典。

tags: IDictionary<String,String>

标记字典。可以添加、删除和更新标记。

componentId: ResourceIdentifier

组件资源的 ARM 资源 ID。

computeId: ResourceIdentifier

计算资源的 ARM 资源 ID。

displayName: String

作业的显示名称。

experimentName: String

作业所属的试验的名称。如果未设置，作业将置于“默认”试验中。

identity: MachineLearningIdentityConfiguration

标识配置。如果已设置，应为 AmlToken、ManagedIdentity、UserIdentity 或 null 之一。如果为 null，则默认为 AmlToken。请注意 MachineLearningIdentityConfiguration ，是基类。根据方案，可能需要在此处分配基类的派生类，或者此属性需要强制转换为可能的派生类之一。可用的派生类包括 AmlToken、 MachineLearningManagedIdentity 和 MachineLearningUserIdentity。

isArchived: Nullable<Boolean>

资产是否已存档？。

notificationSetting: NotificationSetting

作业的通知设置。

secretsConfiguration: IDictionary<String,SecretConfiguration>

用于在运行时提供机密的配置。

services: IDictionary<String,MachineLearningJobService>

JobEndpoints 列表。对于本地作业，作业终结点的终结点值为 FileStreamObject。

status: Nullable<MachineLearningJobStatus>

作业的状态。

createdOn: Nullable<DateTimeOffset>

作业的创建时间（UTC 时区）。

dataConfiguration: LabelingDataConfiguration

配置作业中使用的数据。

jobInstructionsUri: Uri

作业的标记说明。

labelCategories: IDictionary<String,LabelCategory>

作业的标签类别。

labelingJobMediaProperties: LabelingJobMediaProperties

作业中的媒体类型特定属性。请注意 LabelingJobMediaProperties ，是基类。根据方案，可能需要在此处分配基类的派生类，或者此属性需要强制转换为可能的派生类之一。可用的派生类包括 LabelingJobImageProperties 和 LabelingJobTextProperties。

mlAssistConfiguration: MachineLearningAssistConfiguration

在作业中配置 MLAssist 功能。请注意 MachineLearningAssistConfiguration ，是基类。根据方案，可能需要在此处分配基类的派生类，或者此属性需要强制转换为可能的派生类之一。可用的派生类包括 MLAssistConfigurationDisabled 和 MachineLearningAssistEnabledConfiguration。

progressMetrics: ProgressMetrics

作业的进度指标。

projectId: Nullable<Guid>

作业的内部 ID (以前调用的项目) 。

provisioningState: Nullable<JobProvisioningState>

指定标记作业预配状态。

statusMessages: IEnumerable<JobStatusMessage>

作业的状态消息。

LabelingJobProperties

用于模拟的新 LabelingJobProperties 实例。

适用于

通过

ArmMachineLearningModelFactory.LabelingJobProperties 方法

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