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ArmMachineLearningModelFactory.SparkJob 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 SparkJob 的新实例。

public static Azure.ResourceManager.MachineLearning.Models.SparkJob SparkJob (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, System.Collections.Generic.IEnumerable<string> archives = default, string args = default, string codeId = default, System.Collections.Generic.IDictionary<string,string> conf = default, Azure.ResourceManager.MachineLearning.Models.SparkJobEntry entry = default, string environmentId = default, System.Collections.Generic.IEnumerable<string> files = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.MachineLearningJobInput> inputs = default, System.Collections.Generic.IEnumerable<string> jars = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.MachineLearningJobOutput> outputs = default, System.Collections.Generic.IEnumerable<string> pyFiles = default, Azure.ResourceManager.MachineLearning.Models.JobQueueSettings queueSettings = default, Azure.ResourceManager.MachineLearning.Models.SparkResourceConfiguration resources = default);

static member SparkJob : 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> * seq<string> * string * string * System.Collections.Generic.IDictionary<string, string> * Azure.ResourceManager.MachineLearning.Models.SparkJobEntry * string * seq<string> * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobInput> * seq<string> * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobOutput> * seq<string> * Azure.ResourceManager.MachineLearning.Models.JobQueueSettings * Azure.ResourceManager.MachineLearning.Models.SparkResourceConfiguration -> Azure.ResourceManager.MachineLearning.Models.SparkJob

Public Shared Function SparkJob (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 archives As IEnumerable(Of String) = Nothing, Optional args As String = Nothing, Optional codeId As String = Nothing, Optional conf As IDictionary(Of String, String) = Nothing, Optional entry As SparkJobEntry = Nothing, Optional environmentId As String = Nothing, Optional files As IEnumerable(Of String) = Nothing, Optional inputs As IDictionary(Of String, MachineLearningJobInput) = Nothing, Optional jars As IEnumerable(Of String) = Nothing, Optional outputs As IDictionary(Of String, MachineLearningJobOutput) = Nothing, Optional pyFiles As IEnumerable(Of String) = Nothing, Optional queueSettings As JobQueueSettings = Nothing, Optional resources As SparkResourceConfiguration = Nothing) As SparkJob

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。