MachineLearningOnlineDeploymentProperties Class
Definition
Important
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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, 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.MachineLearningEndpointDeploymentProperties
type MachineLearningOnlineDeploymentProperties = class
inherit MachineLearningEndpointDeploymentProperties
interface IJsonModel<MachineLearningOnlineDeploymentProperties>
interface IPersistableModel<MachineLearningOnlineDeploymentProperties>
type MachineLearningOnlineDeploymentProperties = class
inherit MachineLearningEndpointDeploymentProperties
Public Class MachineLearningOnlineDeploymentProperties
Inherits MachineLearningEndpointDeploymentProperties
Implements IJsonModel(Of MachineLearningOnlineDeploymentProperties), IPersistableModel(Of MachineLearningOnlineDeploymentProperties)
Public Class MachineLearningOnlineDeploymentProperties
Inherits MachineLearningEndpointDeploymentProperties
- Inheritance
- Derived
- Implements
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) |
DataCollector |
The mdc configuration, we disable mdc when it's null. |
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 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. |
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. |