Class GoogleCloudAiplatformV1DeployedModel
A deployment of a Model. Endpoints contain one or more DeployedModels.
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1.Data
Assembly: Google.Apis.Aiplatform.v1.dll
Syntax
public class GoogleCloudAiplatformV1DeployedModel : IDirectResponseSchema
Properties
AutomaticResources
A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
Declaration
[JsonProperty("automaticResources")]
public virtual GoogleCloudAiplatformV1AutomaticResources AutomaticResources { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1AutomaticResources |
CreateTime
object representation of CreateTimeRaw.
Declaration
[JsonIgnore]
[Obsolete("This property is obsolete and may behave unexpectedly; please use CreateTimeDateTimeOffset instead.")]
public virtual object CreateTime { get; set; }
Property Value
Type | Description |
---|---|
object |
CreateTimeDateTimeOffset
DateTimeOffset representation of CreateTimeRaw.
Declaration
[JsonIgnore]
public virtual DateTimeOffset? CreateTimeDateTimeOffset { get; set; }
Property Value
Type | Description |
---|---|
DateTimeOffset? |
CreateTimeRaw
Output only. Timestamp when the DeployedModel was created.
Declaration
[JsonProperty("createTime")]
public virtual string CreateTimeRaw { get; set; }
Property Value
Type | Description |
---|---|
string |
DedicatedResources
A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
Declaration
[JsonProperty("dedicatedResources")]
public virtual GoogleCloudAiplatformV1DedicatedResources DedicatedResources { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1DedicatedResources |
DisableContainerLogging
For custom-trained Models and AutoML Tabular Models, the container of the DeployedModel instances will send
stderr
and stdout
streams to Cloud Logging by default. Please note that the logs incur cost, which are
subject to Cloud Logging pricing. User can disable container
logging by setting this flag to true.
Declaration
[JsonProperty("disableContainerLogging")]
public virtual bool? DisableContainerLogging { get; set; }
Property Value
Type | Description |
---|---|
bool? |
DisableExplanations
If true, deploy the model without explainable feature, regardless the existence of Model.explanation_spec or explanation_spec.
Declaration
[JsonProperty("disableExplanations")]
public virtual bool? DisableExplanations { get; set; }
Property Value
Type | Description |
---|---|
bool? |
DisplayName
The display name of the DeployedModel. If not provided upon creation, the Model's display_name is used.
Declaration
[JsonProperty("displayName")]
public virtual string DisplayName { get; set; }
Property Value
Type | Description |
---|---|
string |
ETag
The ETag of the item.
Declaration
public virtual string ETag { get; set; }
Property Value
Type | Description |
---|---|
string |
EnableAccessLogging
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.
Declaration
[JsonProperty("enableAccessLogging")]
public virtual bool? EnableAccessLogging { get; set; }
Property Value
Type | Description |
---|---|
bool? |
ExplanationSpec
Explanation configuration for this DeployedModel. When deploying a Model using EndpointService.DeployModel, this value overrides the value of Model.explanation_spec. All fields of explanation_spec are optional in the request. If a field of explanation_spec is not populated, the value of the same field of Model.explanation_spec is inherited. If the corresponding Model.explanation_spec is not populated, all fields of the explanation_spec will be used for the explanation configuration.
Declaration
[JsonProperty("explanationSpec")]
public virtual GoogleCloudAiplatformV1ExplanationSpec ExplanationSpec { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1ExplanationSpec |
FasterDeploymentConfig
Configuration for faster model deployment.
Declaration
[JsonProperty("fasterDeploymentConfig")]
public virtual GoogleCloudAiplatformV1FasterDeploymentConfig FasterDeploymentConfig { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1FasterDeploymentConfig |
Id
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]/
.
Declaration
[JsonProperty("id")]
public virtual string Id { get; set; }
Property Value
Type | Description |
---|---|
string |
Model
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.
Declaration
[JsonProperty("model")]
public virtual string Model { get; set; }
Property Value
Type | Description |
---|---|
string |
ModelVersionId
Output only. The version ID of the model that is deployed.
Declaration
[JsonProperty("modelVersionId")]
public virtual string ModelVersionId { get; set; }
Property Value
Type | Description |
---|---|
string |
PrivateEndpoints
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 is configured.
Declaration
[JsonProperty("privateEndpoints")]
public virtual GoogleCloudAiplatformV1PrivateEndpoints PrivateEndpoints { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1PrivateEndpoints |
ServiceAccount
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.
Declaration
[JsonProperty("serviceAccount")]
public virtual string ServiceAccount { get; set; }
Property Value
Type | Description |
---|---|
string |
SharedResources
The resource name of the shared DeploymentResourcePool to deploy on. Format:
projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}
Declaration
[JsonProperty("sharedResources")]
public virtual string SharedResources { get; set; }
Property Value
Type | Description |
---|---|
string |
SystemLabels
System labels to apply to Model Garden deployments. System labels are managed by Google for internal use only.
Declaration
[JsonProperty("systemLabels")]
public virtual IDictionary<string, string> SystemLabels { get; set; }
Property Value
Type | Description |
---|---|
IDictionary<string, string> |