Uses of Class
com.google.cloud.aiplatform.v1beta1.DeployedModel.Builder
Packages that use DeployedModel.Builder
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Uses of DeployedModel.Builder in com.google.cloud.aiplatform.v1beta1
Methods in com.google.cloud.aiplatform.v1beta1 that return DeployedModel.BuilderModifier and TypeMethodDescriptionEndpoint.Builder.addDeployedModelsBuilder()Output only.Endpoint.Builder.addDeployedModelsBuilder(int index) Output only.QueryDeployedModelsResponse.Builder.addDeployedModelsBuilder()Deprecated.QueryDeployedModelsResponse.Builder.addDeployedModelsBuilder(int index) Deprecated.DeployedModel.Builder.clear()DeployedModel.Builder.clearAutomaticResources()A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.DeployedModel.Builder.clearCheckpointId()The checkpoint id of the model.DeployedModel.Builder.clearCreateTime()Output only.DeployedModel.Builder.clearDedicatedResources()A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.DeployedModel.Builder.clearDisableContainerLogging()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.DeployedModel.Builder.clearDisableExplanations()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].DeployedModel.Builder.clearDisplayName()The display name of the DeployedModel.DeployedModel.Builder.clearEnableAccessLogging()If true, online prediction access logs are sent to Cloud Logging.DeployedModel.Builder.clearEnableContainerLogging()If true, the container of the DeployedModel instances will send `stderr` and `stdout` streams to Cloud Logging.DeployedModel.Builder.clearExplanationSpec()Explanation configuration for this DeployedModel.DeployedModel.Builder.clearFasterDeploymentConfig()Configuration for faster model deployment.DeployedModel.Builder.clearFullFineTunedResources()Optional.DeployedModel.Builder.clearId()Immutable.DeployedModel.Builder.clearModel()The resource name of the Model that this is the deployment of.DeployedModel.Builder.clearModelVersionId()Output only.DeployedModel.Builder.clearPredictionResources()DeployedModel.Builder.clearPrivateEndpoints()Output only.DeployedModel.Builder.clearRolloutOptions()Options for configuring rolling deployments.DeployedModel.Builder.clearServiceAccount()The service account that the DeployedModel's container runs as.DeployedModel.Builder.clearSharedResources()The resource name of the shared DeploymentResourcePool to deploy on.DeployedModel.Builder.clearSpeculativeDecodingSpec()Optional.DeployedModel.Builder.clearStatus()Output only.DeployedModel.Builder.clearSystemLabels()DeployModelRequest.Builder.getDeployedModelBuilder()Required.DeployModelResponse.Builder.getDeployedModelBuilder()The DeployedModel that had been deployed in the Endpoint.MutateDeployedModelRequest.Builder.getDeployedModelBuilder()Required.MutateDeployedModelResponse.Builder.getDeployedModelBuilder()The DeployedModel that's being mutated.Endpoint.Builder.getDeployedModelsBuilder(int index) Output only.QueryDeployedModelsResponse.Builder.getDeployedModelsBuilder(int index) Deprecated.DeployedModel.Builder.mergeAutomaticResources(AutomaticResources value) A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.DeployedModel.Builder.mergeCreateTime(com.google.protobuf.Timestamp value) Output only.DeployedModel.Builder.mergeDedicatedResources(DedicatedResources value) A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.DeployedModel.Builder.mergeExplanationSpec(ExplanationSpec value) Explanation configuration for this DeployedModel.DeployedModel.Builder.mergeFasterDeploymentConfig(FasterDeploymentConfig value) Configuration for faster model deployment.DeployedModel.Builder.mergeFrom(DeployedModel other) DeployedModel.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) DeployedModel.Builder.mergeFrom(com.google.protobuf.Message other) DeployedModel.Builder.mergeFullFineTunedResources(FullFineTunedResources value) Optional.DeployedModel.Builder.mergePrivateEndpoints(PrivateEndpoints value) Output only.DeployedModel.Builder.mergeRolloutOptions(RolloutOptions value) Options for configuring rolling deployments.DeployedModel.Builder.mergeSpeculativeDecodingSpec(SpeculativeDecodingSpec value) Optional.DeployedModel.Builder.mergeStatus(DeployedModel.Status value) Output only.static DeployedModel.BuilderDeployedModel.newBuilder()static DeployedModel.BuilderDeployedModel.newBuilder(DeployedModel prototype) DeployedModel.newBuilderForType()protected DeployedModel.BuilderDeployedModel.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) DeployedModel.Builder.putAllSystemLabels(Map<String, String> values) System labels to apply to Model Garden deployments.DeployedModel.Builder.putSystemLabels(String key, String value) System labels to apply to Model Garden deployments.DeployedModel.Builder.removeSystemLabels(String key) System labels to apply to Model Garden deployments.DeployedModel.Builder.setAutomaticResources(AutomaticResources value) A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.DeployedModel.Builder.setAutomaticResources(AutomaticResources.Builder builderForValue) A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.DeployedModel.Builder.setCheckpointId(String value) The checkpoint id of the model.DeployedModel.Builder.setCheckpointIdBytes(com.google.protobuf.ByteString value) The checkpoint id of the model.DeployedModel.Builder.setCreateTime(com.google.protobuf.Timestamp value) Output only.DeployedModel.Builder.setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.DeployedModel.Builder.setDedicatedResources(DedicatedResources value) A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.DeployedModel.Builder.setDedicatedResources(DedicatedResources.Builder builderForValue) A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.DeployedModel.Builder.setDisableContainerLogging(boolean value) 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.DeployedModel.Builder.setDisableExplanations(boolean value) 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].DeployedModel.Builder.setDisplayName(String value) The display name of the DeployedModel.DeployedModel.Builder.setDisplayNameBytes(com.google.protobuf.ByteString value) The display name of the DeployedModel.DeployedModel.Builder.setEnableAccessLogging(boolean value) If true, online prediction access logs are sent to Cloud Logging.DeployedModel.Builder.setEnableContainerLogging(boolean value) If true, the container of the DeployedModel instances will send `stderr` and `stdout` streams to Cloud Logging.DeployedModel.Builder.setExplanationSpec(ExplanationSpec value) Explanation configuration for this DeployedModel.DeployedModel.Builder.setExplanationSpec(ExplanationSpec.Builder builderForValue) Explanation configuration for this DeployedModel.DeployedModel.Builder.setFasterDeploymentConfig(FasterDeploymentConfig value) Configuration for faster model deployment.DeployedModel.Builder.setFasterDeploymentConfig(FasterDeploymentConfig.Builder builderForValue) Configuration for faster model deployment.DeployedModel.Builder.setFullFineTunedResources(FullFineTunedResources value) Optional.DeployedModel.Builder.setFullFineTunedResources(FullFineTunedResources.Builder builderForValue) Optional.Immutable.DeployedModel.Builder.setIdBytes(com.google.protobuf.ByteString value) Immutable.The resource name of the Model that this is the deployment of.DeployedModel.Builder.setModelBytes(com.google.protobuf.ByteString value) The resource name of the Model that this is the deployment of.DeployedModel.Builder.setModelVersionId(String value) Output only.DeployedModel.Builder.setModelVersionIdBytes(com.google.protobuf.ByteString value) Output only.DeployedModel.Builder.setPrivateEndpoints(PrivateEndpoints value) Output only.DeployedModel.Builder.setPrivateEndpoints(PrivateEndpoints.Builder builderForValue) Output only.DeployedModel.Builder.setRolloutOptions(RolloutOptions value) Options for configuring rolling deployments.DeployedModel.Builder.setRolloutOptions(RolloutOptions.Builder builderForValue) Options for configuring rolling deployments.DeployedModel.Builder.setServiceAccount(String value) The service account that the DeployedModel's container runs as.DeployedModel.Builder.setServiceAccountBytes(com.google.protobuf.ByteString value) The service account that the DeployedModel's container runs as.DeployedModel.Builder.setSharedResources(String value) The resource name of the shared DeploymentResourcePool to deploy on.DeployedModel.Builder.setSharedResourcesBytes(com.google.protobuf.ByteString value) The resource name of the shared DeploymentResourcePool to deploy on.DeployedModel.Builder.setSpeculativeDecodingSpec(SpeculativeDecodingSpec value) Optional.DeployedModel.Builder.setSpeculativeDecodingSpec(SpeculativeDecodingSpec.Builder builderForValue) Optional.DeployedModel.Builder.setStatus(DeployedModel.Status value) Output only.DeployedModel.Builder.setStatus(DeployedModel.Status.Builder builderForValue) Output only.DeployedModel.toBuilder()Methods in com.google.cloud.aiplatform.v1beta1 that return types with arguments of type DeployedModel.BuilderModifier and TypeMethodDescriptionEndpoint.Builder.getDeployedModelsBuilderList()Output only.QueryDeployedModelsResponse.Builder.getDeployedModelsBuilderList()Deprecated.Methods in com.google.cloud.aiplatform.v1beta1 with parameters of type DeployedModel.BuilderModifier and TypeMethodDescriptionEndpoint.Builder.addDeployedModels(int index, DeployedModel.Builder builderForValue) Output only.Endpoint.Builder.addDeployedModels(DeployedModel.Builder builderForValue) Output only.QueryDeployedModelsResponse.Builder.addDeployedModels(int index, DeployedModel.Builder builderForValue) Deprecated.QueryDeployedModelsResponse.Builder.addDeployedModels(DeployedModel.Builder builderForValue) Deprecated.DeployModelRequest.Builder.setDeployedModel(DeployedModel.Builder builderForValue) Required.DeployModelResponse.Builder.setDeployedModel(DeployedModel.Builder builderForValue) The DeployedModel that had been deployed in the Endpoint.MutateDeployedModelRequest.Builder.setDeployedModel(DeployedModel.Builder builderForValue) Required.MutateDeployedModelResponse.Builder.setDeployedModel(DeployedModel.Builder builderForValue) The DeployedModel that's being mutated.Endpoint.Builder.setDeployedModels(int index, DeployedModel.Builder builderForValue) Output only.QueryDeployedModelsResponse.Builder.setDeployedModels(int index, DeployedModel.Builder builderForValue) Deprecated.