ArmMachineLearningModelFactory.MachineLearningKubernetesOnlineDeployment Method

Reference

Definition

Namespace:: Azure.ResourceManager.MachineLearning.Models

Assembly:: Azure.ResourceManager.MachineLearning.dll

Package:: Azure.ResourceManager.MachineLearning v1.2.0-beta.3

Package:: Azure.ResourceManager.MachineLearning v1.2.1

Important

Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

Overloads

MachineLearningKubernetesOnlineDeployment(MachineLearningCodeConfiguration, String, String, IDictionary<String,String>, IDictionary<String, String>, Nullable<Boolean>, DataCollector, Nullable<MachineLearningEgressPublicNetworkAccessType>, String, MachineLearningProbeSettings, String, String, Nullable<MachineLearningDeploymentProvisioningState>, MachineLearningProbeSettings, MachineLearningOnlineRequestSettings, MachineLearningOnlineScaleSettings, MachineLearningContainerResourceRequirements)

Initializes a new instance of MachineLearningKubernetesOnlineDeployment.

MachineLearningKubernetesOnlineDeployment(String, IDictionary<String, String>, MachineLearningCodeConfiguration, String, IDictionary<String, String>, MachineLearningOnlineScaleSettings, MachineLearningOnlineRequestSettings, String, Nullable<Boolean>, MachineLearningProbeSettings, MachineLearningProbeSettings, Nullable<MachineLearningDeploymentProvisioningState>, String, String, Nullable<MachineLearningEgressPublicNetworkAccessType>, DataCollector, MachineLearningContainerResourceRequirements)

Initializes a new instance of MachineLearningKubernetesOnlineDeployment.

MachineLearningKubernetesOnlineDeployment(MachineLearningCodeConfiguration, String, String, IDictionary<String,String>, IDictionary<String, String>, Nullable<Boolean>, DataCollector, Nullable<MachineLearningEgressPublicNetworkAccessType>, String, MachineLearningProbeSettings, String, String, Nullable<MachineLearningDeploymentProvisioningState>, MachineLearningProbeSettings, MachineLearningOnlineRequestSettings, MachineLearningOnlineScaleSettings, MachineLearningContainerResourceRequirements)

Source:: ArmMachineLearningModelFactory.cs

Initializes a new instance of MachineLearningKubernetesOnlineDeployment.

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

Parameters

codeConfiguration: MachineLearningCodeConfiguration

Code configuration for the endpoint deployment.

description: String

Description of the endpoint deployment.

environmentId: String

ARM resource ID of the environment specification for the endpoint deployment.

environmentVariables: IDictionary<String,String>

Environment variables configuration for the deployment.

properties: IDictionary<String,String>

Property dictionary. Properties can be added, but not removed or altered.

appInsightsEnabled: Nullable<Boolean>

If true, enables Application Insights logging.

dataCollector: DataCollector

The mdc configuration, we disable mdc when it's null.

egressPublicNetworkAccess: Nullable<MachineLearningEgressPublicNetworkAccessType>

If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.

instanceType: String

Compute instance type.

livenessProbe: MachineLearningProbeSettings

Liveness probe monitors the health of the container regularly.

model: String

The URI path to the model.

modelMountPath: String

The path to mount the model in custom container.

provisioningState: Nullable<MachineLearningDeploymentProvisioningState>

Provisioning state for the endpoint deployment.

readinessProbe: MachineLearningProbeSettings

Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.

requestSettings: MachineLearningOnlineRequestSettings

Request settings for the deployment.

scaleSettings: MachineLearningOnlineScaleSettings

Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment. Please note MachineLearningOnlineScaleSettings is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningDefaultScaleSettings and MachineLearningTargetUtilizationScaleSettings.

containerResourceRequirements: MachineLearningContainerResourceRequirements

The resource requirements for the container (cpu and memory).

Returns

MachineLearningKubernetesOnlineDeployment

A new MachineLearningKubernetesOnlineDeployment instance for mocking.

Applies to

MachineLearningKubernetesOnlineDeployment(String, IDictionary<String, String>, MachineLearningCodeConfiguration, String, IDictionary<String, String>, MachineLearningOnlineScaleSettings, MachineLearningOnlineRequestSettings, String, Nullable<Boolean>, MachineLearningProbeSettings, MachineLearningProbeSettings, Nullable<MachineLearningDeploymentProvisioningState>, String, String, Nullable<MachineLearningEgressPublicNetworkAccessType>, DataCollector, MachineLearningContainerResourceRequirements)

Source:: ArmMachineLearningModelFactory.cs

Initializes a new instance of MachineLearningKubernetesOnlineDeployment.

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

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

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