public sealed class DeployedModel : IMessage<DeployedModel>, IEquatable<DeployedModel>, IDeepCloneable<DeployedModel>, IBufferMessage, IMessageReference documentation and code samples for the Cloud AI Platform v1beta1 API class DeployedModel.
A deployment of a Model. Endpoints contain one or more DeployedModels.
Implements
IMessageDeployedModel, IEquatableDeployedModel, IDeepCloneableDeployedModel, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Beta1Assembly
Google.Cloud.AIPlatform.V1Beta1.dll
Constructors
DeployedModel()
public DeployedModel()DeployedModel(DeployedModel)
public DeployedModel(DeployedModel other)| Parameter | |
|---|---|
| Name | Description |
other |
DeployedModel |
Properties
AutomaticResources
public AutomaticResources AutomaticResources { get; set; }A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
| Property Value | |
|---|---|
| Type | Description |
AutomaticResources |
|
CreateTime
public Timestamp CreateTime { get; set; }Output only. Timestamp when the DeployedModel was created.
| Property Value | |
|---|---|
| Type | Description |
Timestamp |
|
DedicatedResources
public DedicatedResources DedicatedResources { get; set; }A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
| Property Value | |
|---|---|
| Type | Description |
DedicatedResources |
|
DisableExplanations
public bool DisableExplanations { get; set; }If true, deploy the model without explainable feature, regardless the existence of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] or [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec].
| Property Value | |
|---|---|
| Type | Description |
bool |
|
DisplayName
public string DisplayName { get; set; }The display name of the DeployedModel. If not provided upon creation, the Model's display_name is used.
| Property Value | |
|---|---|
| Type | Description |
string |
|
EnableAccessLogging
public bool EnableAccessLogging { get; set; }If true, online prediction access logs are sent to Cloud Logging. These logs are like standard server access logs, containing information like timestamp and latency for each prediction request.
Note that logs may incur a cost, especially if your project receives prediction requests at a high queries per second rate (QPS). Estimate your costs before enabling this option.
| Property Value | |
|---|---|
| Type | Description |
bool |
|
EnableContainerLogging
public bool EnableContainerLogging { get; set; }If true, the container of the DeployedModel instances will send stderr
and stdout streams to Cloud Logging.
Only supported for custom-trained Models and AutoML Tabular Models.
| Property Value | |
|---|---|
| Type | Description |
bool |
|
ExplanationSpec
public ExplanationSpec ExplanationSpec { get; set; }Explanation configuration for this DeployedModel.
When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
| Property Value | |
|---|---|
| Type | Description |
ExplanationSpec |
|
FasterDeploymentConfig
public FasterDeploymentConfig FasterDeploymentConfig { get; set; }Configuration for faster model deployment.
| Property Value | |
|---|---|
| Type | Description |
FasterDeploymentConfig |
|
HasSharedResources
public bool HasSharedResources { get; }Gets whether the "shared_resources" field is set
| Property Value | |
|---|---|
| Type | Description |
bool |
|
Id
public string Id { get; set; }Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI will generate a value for this ID.
This value should be 1-10 characters, and valid characters are /[0-9]/.
| Property Value | |
|---|---|
| Type | Description |
string |
|
Model
public string Model { get; set; }Required. The resource name of the Model that this is the deployment of. Note that the Model may be in a different location than the DeployedModel's Endpoint.
The resource name may contain version id or version alias to specify the
version.
Example: projects/{project}/locations/{location}/models/{model}@2
or
projects/{project}/locations/{location}/models/{model}@golden
if no version is specified, the default version will be deployed.
| Property Value | |
|---|---|
| Type | Description |
string |
|
ModelAsModelName
public ModelName ModelAsModelName { get; set; }| Property Value | |
|---|---|
| Type | Description |
ModelName |
|
ModelVersionId
public string ModelVersionId { get; set; }Output only. The version ID of the model that is deployed.
| Property Value | |
|---|---|
| Type | Description |
string |
|
PredictionResourcesCase
public DeployedModel.PredictionResourcesOneofCase PredictionResourcesCase { get; }| Property Value | |
|---|---|
| Type | Description |
DeployedModelPredictionResourcesOneofCase |
|
PrivateEndpoints
public PrivateEndpoints PrivateEndpoints { get; set; }Output only. Provide paths for users to send predict/explain/health requests directly to the deployed model services running on Cloud via private services access. This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
| Property Value | |
|---|---|
| Type | Description |
PrivateEndpoints |
|
ServiceAccount
public string ServiceAccount { get; set; }The service account that the DeployedModel's container runs as. Specify the email address of the service account. If this service account is not specified, the container runs as a service account that doesn't have access to the resource project.
Users deploying the Model must have the iam.serviceAccounts.actAs
permission on this service account.
| Property Value | |
|---|---|
| Type | Description |
string |
|
SharedResources
public string SharedResources { get; set; }The resource name of the shared DeploymentResourcePool to deploy on.
Format:
projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}
| Property Value | |
|---|---|
| Type | Description |
string |
|
SharedResourcesAsDeploymentResourcePoolName
public DeploymentResourcePoolName SharedResourcesAsDeploymentResourcePoolName { get; set; }DeploymentResourcePoolName-typed view over the SharedResources resource name property.
| Property Value | |
|---|---|
| Type | Description |
DeploymentResourcePoolName |
|
Status
public DeployedModel.Types.Status Status { get; set; }Output only. Runtime status of the deployed model.
| Property Value | |
|---|---|
| Type | Description |
DeployedModelTypesStatus |
|
SystemLabels
public MapField<string, string> SystemLabels { get; }System labels to apply to Model Garden deployments. System labels are managed by Google for internal use only.
| Property Value | |
|---|---|
| Type | Description |
MapFieldstringstring |
|