DeployedModel class final

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

Inheritance
  • Object
  • ProtoMessage
  • DeployedModel

Constructors

DeployedModel({DedicatedResources? dedicatedResources, AutomaticResources? automaticResources, String? sharedResources, String id = '', String model = '', String modelVersionId = '', String displayName = '', Timestamp? createTime, ExplanationSpec? explanationSpec, bool disableExplanations = false, String serviceAccount = '', bool enableContainerLogging = false, bool disableContainerLogging = false, bool enableAccessLogging = false, PrivateEndpoints? privateEndpoints, FasterDeploymentConfig? fasterDeploymentConfig, RolloutOptions? rolloutOptions, DeployedModel_Status? status, Map<String, String> systemLabels = const {}, String checkpointId = '', SpeculativeDecodingSpec? speculativeDecodingSpec})
DeployedModel.fromJson(Map<String, dynamic> json)
factory

Properties

automaticResources → AutomaticResources?
A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
final
checkpointId → String
The checkpoint id of the model.
final
createTime → Timestamp?
Output only. Timestamp when the DeployedModel was created.
final
dedicatedResources → DedicatedResources?
A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
final
disableContainerLogging → bool
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.
final
disableExplanations → bool
If true, deploy the model without explainable feature, regardless the existence of Model.explanation_spec or explanation_spec.
final
displayName → String
The display name of the DeployedModel. If not provided upon creation, the Model's display_name is used.
final
enableAccessLogging → bool
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.
final
enableContainerLogging → bool
If true, the container of the DeployedModel instances will send stderr and stdout streams to Cloud Logging.
final
explanationSpec → ExplanationSpec?
Explanation configuration for this DeployedModel.
final
fasterDeploymentConfig → FasterDeploymentConfig?
Configuration for faster model deployment.
final
hashCode → int
The hash code for this object.
no setterinherited
id → String
Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI will generate a value for this ID.
final
model → String
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.
final
modelVersionId → String
Output only. The version ID of the model that is deployed.
final
privateEndpoints → 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.
final
qualifiedName → String
The fully qualified name of this message, i.e., google.protobuf.Duration or google.rpc.ErrorInfo.
finalinherited
rolloutOptions → RolloutOptions?
Options for configuring rolling deployments.
final
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
serviceAccount → String
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.
final
sharedResources → String?
The resource name of the shared DeploymentResourcePool to deploy on. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}
final
speculativeDecodingSpec → SpeculativeDecodingSpec?
Optional. Spec for configuring speculative decoding.
final
status → DeployedModel_Status?
Output only. Runtime status of the deployed model.
final
systemLabels → Map<String, String>
System labels to apply to Model Garden deployments. System labels are managed by Google for internal use only.
final

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toJson() → Object
override
toString() → String
A string representation of this object.
override

Operators

operator ==(Object other) → bool
The equality operator.
inherited

Constants

fullyQualifiedName → const String