MachineLearningOnlineDeploymentProperties Class

Definition

Namespace:

Azure.ResourceManager.MachineLearning.Models

Assembly:

Azure.ResourceManager.MachineLearning.dll

Package:

Azure.ResourceManager.MachineLearning v1.1.1

Source:

MachineLearningOnlineDeploymentProperties.cs

The MachineLearningOnlineDeploymentProperties. Please note MachineLearningOnlineDeploymentProperties 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 MachineLearningKubernetesOnlineDeployment and MachineLearningManagedOnlineDeployment.

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

type MachineLearningOnlineDeploymentProperties = class
    inherit MachineLearningEndpointDeploymentProperties

Public Class MachineLearningOnlineDeploymentProperties
Inherits MachineLearningEndpointDeploymentProperties

Inheritance

Object

MachineLearningEndpointDeploymentProperties

MachineLearningOnlineDeploymentProperties

Derived

Azure.ResourceManager.MachineLearning.Models.MachineLearningKubernetesOnlineDeployment

Azure.ResourceManager.MachineLearning.Models.MachineLearningManagedOnlineDeployment

Constructors

MachineLearningOnlineDeploymentProperties()

Initializes a new instance of MachineLearningOnlineDeploymentProperties.

Properties

AppInsightsEnabled	If true, enables Application Insights logging.
CodeConfiguration	Code configuration for the endpoint deployment. (Inherited from MachineLearningEndpointDeploymentProperties)
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.
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.
LivenessProbe	Liveness probe monitors the health of the container regularly.
Model	The URI path to the model.
ModelMountPath	The path to mount the model in custom container.
Properties	Property dictionary. Properties can be added, but not removed or altered. (Inherited from MachineLearningEndpointDeploymentProperties)
ProvisioningState	Provisioning state for the endpoint deployment.
ReadinessProbe	Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
RequestSettings	Request settings for the deployment.
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.