Class GoogleCloudAiplatformV1beta1DeployedModel

A deployment of a Model. Endpoints contain one or more DeployedModels.

Inheritance
object
GoogleCloudAiplatformV1beta1DeployedModel
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1beta1.Data
Assembly: Google.Apis.Aiplatform.v1beta1.dll
Syntax
public class GoogleCloudAiplatformV1beta1DeployedModel : 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 GoogleCloudAiplatformV1beta1AutomaticResources AutomaticResources { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1AutomaticResources

CheckpointId

The checkpoint id of the model.

Declaration
[JsonProperty("checkpointId")]
public virtual string CheckpointId { get; set; }
Property Value
Type Description
string

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[Obsolete("This property is obsolete and may behave unexpectedly; please use CreateTimeDateTimeOffset instead.")]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 GoogleCloudAiplatformV1beta1DedicatedResources DedicatedResources { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1DedicatedResources

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?

EnableContainerLogging

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.

Declaration
[JsonProperty("enableContainerLogging")]
public virtual bool? EnableContainerLogging { 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 GoogleCloudAiplatformV1beta1ExplanationSpec ExplanationSpec { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1ExplanationSpec

FasterDeploymentConfig

Configuration for faster model deployment.

Declaration
[JsonProperty("fasterDeploymentConfig")]
public virtual GoogleCloudAiplatformV1beta1FasterDeploymentConfig FasterDeploymentConfig { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1FasterDeploymentConfig

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 GoogleCloudAiplatformV1beta1PrivateEndpoints PrivateEndpoints { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1PrivateEndpoints

RolloutOptions

Options for configuring rolling deployments.

Declaration
[JsonProperty("rolloutOptions")]
public virtual GoogleCloudAiplatformV1beta1RolloutOptions RolloutOptions { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1RolloutOptions

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

SpeculativeDecodingSpec

Optional. Spec for configuring speculative decoding.

Declaration
[JsonProperty("speculativeDecodingSpec")]
public virtual GoogleCloudAiplatformV1beta1SpeculativeDecodingSpec SpeculativeDecodingSpec { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1SpeculativeDecodingSpec

Status

Output only. Runtime status of the deployed model.

Declaration
[JsonProperty("status")]
public virtual GoogleCloudAiplatformV1beta1DeployedModelStatus Status { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1DeployedModelStatus

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>

Implements