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ArmMachineLearningModelFactory.MachineLearningCommandJob 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 MachineLearningCommandJob 的新实例。

public static Azure.ResourceManager.MachineLearning.Models.MachineLearningCommandJob MachineLearningCommandJob (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, Azure.ResourceManager.MachineLearning.Models.MachineLearningFlowAutoLoggerState? mlflowAutologger = default, Azure.Core.ResourceIdentifier codeId = default, string command = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningDistributionConfiguration distribution = default, Azure.Core.ResourceIdentifier environmentId = default, System.Collections.Generic.IDictionary<string,string> environmentVariables = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.MachineLearningJobInput> inputs = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningCommandJobLimits limits = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.MachineLearningJobOutput> outputs = default, BinaryData parameters = default, Azure.ResourceManager.MachineLearning.Models.JobQueueSettings queueSettings = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobResourceConfiguration resources = default);

static member MachineLearningCommandJob : 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<Azure.ResourceManager.MachineLearning.Models.MachineLearningFlowAutoLoggerState> * Azure.Core.ResourceIdentifier * string * Azure.ResourceManager.MachineLearning.Models.MachineLearningDistributionConfiguration * Azure.Core.ResourceIdentifier * System.Collections.Generic.IDictionary<string, string> * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobInput> * Azure.ResourceManager.MachineLearning.Models.MachineLearningCommandJobLimits * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobOutput> * BinaryData * Azure.ResourceManager.MachineLearning.Models.JobQueueSettings * Azure.ResourceManager.MachineLearning.Models.MachineLearningJobResourceConfiguration -> Azure.ResourceManager.MachineLearning.Models.MachineLearningCommandJob

Public Shared Function MachineLearningCommandJob (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 mlflowAutologger As Nullable(Of MachineLearningFlowAutoLoggerState) = Nothing, Optional codeId As ResourceIdentifier = Nothing, Optional command As String = Nothing, Optional distribution As MachineLearningDistributionConfiguration = Nothing, Optional environmentId As ResourceIdentifier = Nothing, Optional environmentVariables As IDictionary(Of String, String) = Nothing, Optional inputs As IDictionary(Of String, MachineLearningJobInput) = Nothing, Optional limits As MachineLearningCommandJobLimits = Nothing, Optional outputs As IDictionary(Of String, MachineLearningJobOutput) = Nothing, Optional parameters As BinaryData = Nothing, Optional queueSettings As JobQueueSettings = Nothing, Optional resources As MachineLearningJobResourceConfiguration = Nothing) As MachineLearningCommandJob

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。

mlflowAutologger: Nullable<MachineLearningFlowAutoLoggerState>

作业的分发配置。如果已设置，则应为 Mpi、Tensorflow、PyTorch 或 null 之一。

codeId: ResourceIdentifier

代码资产的 ARM 资源 ID。

command: String

[必需]启动作业时要执行的命令。例如 “python train.py”。

distribution: MachineLearningDistributionConfiguration

作业的分发配置。如果已设置，则此值应为 Mpi、Tensorflow、PyTorch、Ray 或 null 之一。请注意 MachineLearningDistributionConfiguration ，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 MpiDistributionConfiguration、 PyTorchDistributionConfiguration RayDistributionConfiguration 和 TensorFlowDistributionConfiguration。