MachineLearningOnlineDeploymentProperties Class
Definition
Important
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The MachineLearningOnlineDeploymentProperties. Please note this is the base class. The derived classes available for instantiation are: MachineLearningKubernetesOnlineDeployment and MachineLearningManagedOnlineDeployment.
public class MachineLearningOnlineDeploymentProperties : Azure.ResourceManager.MachineLearning.Models.MachineLearningEndpointDeploymentProperties, System.ClientModel.Primitives.IJsonModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningOnlineDeploymentProperties>, System.ClientModel.Primitives.IPersistableModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningOnlineDeploymentProperties>public class MachineLearningOnlineDeploymentProperties : Azure.ResourceManager.MachineLearning.Models.MachineLearningEndpointDeploymentPropertiestype MachineLearningOnlineDeploymentProperties = class
inherit MachineLearningEndpointDeploymentProperties
interface IJsonModel<MachineLearningOnlineDeploymentProperties>
interface IPersistableModel<MachineLearningOnlineDeploymentProperties>type MachineLearningOnlineDeploymentProperties = class
inherit MachineLearningEndpointDeploymentPropertiesPublic Class MachineLearningOnlineDeploymentProperties
Inherits MachineLearningEndpointDeploymentProperties
Implements IJsonModel(Of MachineLearningOnlineDeploymentProperties), IPersistableModel(Of MachineLearningOnlineDeploymentProperties)Public Class MachineLearningOnlineDeploymentProperties
Inherits MachineLearningEndpointDeploymentProperties- Inheritance
- Derived
- Implements
Constructors
| Name | Description |
|---|---|
| MachineLearningOnlineDeploymentProperties() |
Initializes a new instance of MachineLearningOnlineDeploymentProperties. |
| MachineLearningOnlineDeploymentProperties(MachineLearningEndpointComputeType) |
Initializes a new instance of MachineLearningOnlineDeploymentProperties. |
Properties
| Name | Description |
|---|---|
| AppInsightsEnabled |
If true, enables Application Insights logging. |
| CodeConfiguration |
Code configuration for the endpoint deployment. (Inherited from MachineLearningEndpointDeploymentProperties) |
| DataCollector |
The mdc configuration, we disable mdc when it's null. |
| Description |
Description of the endpoint deployment. (Inherited from MachineLearningEndpointDeploymentProperties) |
| EgressPublicNetworkAccess |
Enum to determine whether PublicNetworkAccess is Enabled or Disabled for egress of a deployment. |
| EnvironmentId |
ARM resource ID or AssetId 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. Default: Standard_F4s_v2. |
| 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. |
| StartupProbe |
Startup probe verify whether an application within a container has started successfully. |
