你当前正在访问 Microsoft Azure Global Edition 技术文档网站。 如果需要访问由世纪互联运营的 Microsoft Azure 中国技术文档网站，请访问 https://docs.azure.cn。

ArmMachineLearningModelFactory.MachineLearningKubernetesOnlineDeployment 方法

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

初始化 MachineLearningKubernetesOnlineDeployment 的新实例。

public static Azure.ResourceManager.MachineLearning.Models.MachineLearningKubernetesOnlineDeployment MachineLearningKubernetesOnlineDeployment (Azure.ResourceManager.MachineLearning.Models.MachineLearningCodeConfiguration codeConfiguration = default, string description = default, string environmentId = default, System.Collections.Generic.IDictionary<string,string> environmentVariables = default, System.Collections.Generic.IDictionary<string,string> properties = default, bool? appInsightsEnabled = default, Azure.ResourceManager.MachineLearning.Models.DataCollector dataCollector = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningEgressPublicNetworkAccessType? egressPublicNetworkAccess = default, string instanceType = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningProbeSettings livenessProbe = default, string model = default, string modelMountPath = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningDeploymentProvisioningState? provisioningState = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningProbeSettings readinessProbe = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningOnlineRequestSettings requestSettings = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningOnlineScaleSettings scaleSettings = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningContainerResourceRequirements containerResourceRequirements = default);

static member MachineLearningKubernetesOnlineDeployment : Azure.ResourceManager.MachineLearning.Models.MachineLearningCodeConfiguration * string * string * System.Collections.Generic.IDictionary<string, string> * System.Collections.Generic.IDictionary<string, string> * Nullable<bool> * Azure.ResourceManager.MachineLearning.Models.DataCollector * Nullable<Azure.ResourceManager.MachineLearning.Models.MachineLearningEgressPublicNetworkAccessType> * string * Azure.ResourceManager.MachineLearning.Models.MachineLearningProbeSettings * string * string * Nullable<Azure.ResourceManager.MachineLearning.Models.MachineLearningDeploymentProvisioningState> * Azure.ResourceManager.MachineLearning.Models.MachineLearningProbeSettings * Azure.ResourceManager.MachineLearning.Models.MachineLearningOnlineRequestSettings * Azure.ResourceManager.MachineLearning.Models.MachineLearningOnlineScaleSettings * Azure.ResourceManager.MachineLearning.Models.MachineLearningContainerResourceRequirements -> Azure.ResourceManager.MachineLearning.Models.MachineLearningKubernetesOnlineDeployment

Public Shared Function MachineLearningKubernetesOnlineDeployment (Optional codeConfiguration As MachineLearningCodeConfiguration = Nothing, Optional description As String = Nothing, Optional environmentId As String = Nothing, Optional environmentVariables As IDictionary(Of String, String) = Nothing, Optional properties As IDictionary(Of String, String) = Nothing, Optional appInsightsEnabled As Nullable(Of Boolean) = Nothing, Optional dataCollector As DataCollector = Nothing, Optional egressPublicNetworkAccess As Nullable(Of MachineLearningEgressPublicNetworkAccessType) = Nothing, Optional instanceType As String = Nothing, Optional livenessProbe As MachineLearningProbeSettings = Nothing, Optional model As String = Nothing, Optional modelMountPath As String = Nothing, Optional provisioningState As Nullable(Of MachineLearningDeploymentProvisioningState) = Nothing, Optional readinessProbe As MachineLearningProbeSettings = Nothing, Optional requestSettings As MachineLearningOnlineRequestSettings = Nothing, Optional scaleSettings As MachineLearningOnlineScaleSettings = Nothing, Optional containerResourceRequirements As MachineLearningContainerResourceRequirements = Nothing) As MachineLearningKubernetesOnlineDeployment

参数

codeConfiguration

MachineLearningCodeConfiguration

终结点部署的代码配置。

description

String

终结点部署的说明。

environmentId

String

终结点部署的环境规范的 ARM 资源 ID。

environmentVariables

IDictionary<String,String>

部署的环境变量配置。

properties

IDictionary<String,String>

属性字典。 可以添加属性，但不能删除或更改属性。

appInsightsEnabled

Nullable<Boolean>

如果为 true，则启用 Application Insights 日志记录。

dataCollector

DataCollector

mdc 配置在为 null 时禁用 mdc。

egressPublicNetworkAccess

Nullable<MachineLearningEgressPublicNetworkAccessType>

如果已启用，则允许出口公用网络访问。 如果禁用，这将创建安全出口。 默认值：已启用。

instanceType

String

计算实例类型。

livenessProbe

MachineLearningProbeSettings

运行情况探测会定期监视容器的运行状况。

model

String

模型的 URI 路径。

modelMountPath

String

在自定义容器中装载模型的路径。

provisioningState

Nullable<MachineLearningDeploymentProvisioningState>

终结点部署的预配状态。

readinessProbe

MachineLearningProbeSettings

就绪情况探测会验证容器是否已准备好为流量提供服务。 属性和默认值与运行情况探测相同。

requestSettings

MachineLearningOnlineRequestSettings

部署的请求设置。

scaleSettings

MachineLearningOnlineScaleSettings

部署的缩放设置。 如果为 null 或未提供，则默认为 KubernetesOnlineDeployment 的 TargetUtilizationScaleSettings 和 ManagedOnlineDeployment 的 DefaultScaleSettings。 请注意 MachineLearningOnlineScaleSettings ，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 MachineLearningDefaultScaleSettings 和 MachineLearningTargetUtilizationScaleSettings。

containerResourceRequirements

MachineLearningContainerResourceRequirements

容器的资源要求 (cpu 和内存) 。

返回

MachineLearningKubernetesOnlineDeployment

用于模拟的新 MachineLearningKubernetesOnlineDeployment 实例。