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ArmMachineLearningModelFactory.MachineLearningOnlineDeploymentProperties 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 MachineLearningOnlineDeploymentProperties 的新实例。

public static Azure.ResourceManager.MachineLearning.Models.MachineLearningOnlineDeploymentProperties MachineLearningOnlineDeploymentProperties (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 endpointComputeType = "Unknown", 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);

static member MachineLearningOnlineDeploymentProperties : 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 * 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.MachineLearningOnlineDeploymentProperties

Public Shared Function MachineLearningOnlineDeploymentProperties (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 endpointComputeType As String = "Unknown", 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) As MachineLearningOnlineDeploymentProperties

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。

appInsightsEnabled

Nullable<Boolean>

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

dataCollector

DataCollector

在 mdc 配置中，我们在 mdc 为 null 时禁用它。

egressPublicNetworkAccess

Nullable<MachineLearningEgressPublicNetworkAccessType>

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

endpointComputeType

String

[必需]终结点的计算类型。

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

请求部署设置。

scaleSettings

MachineLearningOnlineScaleSettings

部署的缩放设置。 如果为 null 或未提供，则对于 KubernetesOnlineDeployment，默认为 TargetUtilizationScaleSettings，对于 ManagedOnlineDeployment，默认为 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，或者需要将此属性强制转换为可能的派生类之一。 可用的派生类包括 MachineLearningDefaultScaleSettings 和 MachineLearningTargetUtilizationScaleSettings。

返回

MachineLearningOnlineDeploymentProperties

用于模拟的新 MachineLearningOnlineDeploymentProperties 实例。