MachineLearningManagedOnlineDeployment Class

Definition

Namespace:

Azure.ResourceManager.MachineLearning.Models

Assembly:

Azure.ResourceManager.MachineLearning.dll

Package:

Azure.ResourceManager.MachineLearning v1.1.1

Source:

MachineLearningManagedOnlineDeployment.cs

Properties specific to a ManagedOnlineDeployment.

public class MachineLearningManagedOnlineDeployment : Azure.ResourceManager.MachineLearning.Models.MachineLearningOnlineDeploymentProperties

type MachineLearningManagedOnlineDeployment = class
    inherit MachineLearningOnlineDeploymentProperties

Public Class MachineLearningManagedOnlineDeployment
Inherits MachineLearningOnlineDeploymentProperties

Inheritance

Object

MachineLearningEndpointDeploymentProperties

MachineLearningOnlineDeploymentProperties

MachineLearningManagedOnlineDeployment

Constructors

MachineLearningManagedOnlineDeployment()

Initializes a new instance of MachineLearningManagedOnlineDeployment.

Properties

AppInsightsEnabled	If true, enables Application Insights logging. (Inherited from MachineLearningOnlineDeploymentProperties)
CodeConfiguration	Code configuration for the endpoint deployment. (Inherited from MachineLearningEndpointDeploymentProperties)
DataCollector	The mdc configuration, we disable mdc when it's null. (Inherited from MachineLearningOnlineDeploymentProperties)
Description	Description of the endpoint deployment. (Inherited from MachineLearningEndpointDeploymentProperties)
EgressPublicNetworkAccess	If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled. (Inherited from MachineLearningOnlineDeploymentProperties)
EnvironmentId	ARM resource ID of the environment specification for the endpoint deployment. (Inherited from MachineLearningEndpointDeploymentProperties)
EnvironmentVariables	Environment variables configuration for the deployment. (Inherited from MachineLearningEndpointDeploymentProperties)
InstanceType	Compute instance type. (Inherited from MachineLearningOnlineDeploymentProperties)
LivenessProbe	Liveness probe monitors the health of the container regularly. (Inherited from MachineLearningOnlineDeploymentProperties)
Model	The URI path to the model. (Inherited from MachineLearningOnlineDeploymentProperties)
ModelMountPath	The path to mount the model in custom container. (Inherited from MachineLearningOnlineDeploymentProperties)
Properties	Property dictionary. Properties can be added, but not removed or altered. (Inherited from MachineLearningEndpointDeploymentProperties)
ProvisioningState	Provisioning state for the endpoint deployment. (Inherited from MachineLearningOnlineDeploymentProperties)
ReadinessProbe	Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe. (Inherited from MachineLearningOnlineDeploymentProperties)
RequestSettings	Request settings for the deployment. (Inherited from MachineLearningOnlineDeploymentProperties)
ScaleSettings	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. (Inherited from MachineLearningOnlineDeploymentProperties)