Namespace Google.Apis.Aiplatform.v1beta1.Data
Classes
CloudAiLargeModelsVisionGenerateVideoResponse
Generate video response.
CloudAiLargeModelsVisionImage
Image.
CloudAiLargeModelsVisionImageImageSize
Image size.
CloudAiLargeModelsVisionImageRAIScores
RAI scores for generated image returned.
CloudAiLargeModelsVisionMedia
Media.
CloudAiLargeModelsVisionNamedBoundingBox
CloudAiLargeModelsVisionRaiInfo
Next ID: 6
CloudAiLargeModelsVisionRaiInfoDetectedLabels
Filters returning list of deteceted labels, scores, and bounding boxes.
CloudAiLargeModelsVisionRaiInfoDetectedLabelsBoundingBox
An integer bounding box of original pixels of the image for the detected labels.
CloudAiLargeModelsVisionRaiInfoDetectedLabelsEntity
The properties for a detected entity from the rai signal.
CloudAiLargeModelsVisionSemanticFilterResponse
CloudAiLargeModelsVisionVideo
Video
CloudAiPlatformCommonCreatePipelineJobApiErrorDetail
Create API error message for Vertex Pipeline. Next Id: 3.
GoogleApiHttpBody
Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
GoogleCloudAiplatformV1beta1ActiveLearningConfig
Parameters that configure the active learning pipeline. Active learning will label the data incrementally by several iterations. For every iteration, it will select a batch of data based on the sampling strategy.
GoogleCloudAiplatformV1beta1AddContextArtifactsAndExecutionsRequest
Request message for MetadataService.AddContextArtifactsAndExecutions.
GoogleCloudAiplatformV1beta1AddContextArtifactsAndExecutionsResponse
Response message for MetadataService.AddContextArtifactsAndExecutions.
GoogleCloudAiplatformV1beta1AddContextChildrenRequest
Request message for MetadataService.AddContextChildren.
GoogleCloudAiplatformV1beta1AddContextChildrenResponse
Response message for MetadataService.AddContextChildren.
GoogleCloudAiplatformV1beta1AddExecutionEventsRequest
Request message for MetadataService.AddExecutionEvents.
GoogleCloudAiplatformV1beta1AddExecutionEventsResponse
Response message for MetadataService.AddExecutionEvents.
GoogleCloudAiplatformV1beta1AddTrialMeasurementRequest
Request message for VizierService.AddTrialMeasurement.
GoogleCloudAiplatformV1beta1Annotation
Used to assign specific AnnotationSpec to a particular area of a DataItem or the whole part of the DataItem.
GoogleCloudAiplatformV1beta1AnnotationSpec
Identifies a concept with which DataItems may be annotated with.
GoogleCloudAiplatformV1beta1ApiAuth
The generic reusable api auth config.
GoogleCloudAiplatformV1beta1ApiAuthApiKeyConfig
The API secret.
GoogleCloudAiplatformV1beta1Artifact
Instance of a general artifact.
GoogleCloudAiplatformV1beta1ArtifactTypeSchema
The definition of a artifact type in MLMD.
GoogleCloudAiplatformV1beta1AssignNotebookRuntimeOperationMetadata
Metadata information for NotebookService.AssignNotebookRuntime.
GoogleCloudAiplatformV1beta1AssignNotebookRuntimeRequest
Request message for NotebookService.AssignNotebookRuntime.
GoogleCloudAiplatformV1beta1Attribution
Attribution that explains a particular prediction output.
GoogleCloudAiplatformV1beta1AugmentPromptRequest
Request message for AugmentPrompt.
GoogleCloudAiplatformV1beta1AugmentPromptRequestModel
Metadata of the backend deployed model.
GoogleCloudAiplatformV1beta1AugmentPromptResponse
Response message for AugmentPrompt.
GoogleCloudAiplatformV1beta1AuthConfig
Auth configuration to run the extension.
GoogleCloudAiplatformV1beta1AuthConfigApiKeyConfig
Config for authentication with API key.
GoogleCloudAiplatformV1beta1AuthConfigGoogleServiceAccountConfig
Config for Google Service Account Authentication.
GoogleCloudAiplatformV1beta1AuthConfigHttpBasicAuthConfig
Config for HTTP Basic Authentication.
GoogleCloudAiplatformV1beta1AuthConfigOauthConfig
Config for user oauth.
GoogleCloudAiplatformV1beta1AuthConfigOidcConfig
Config for user OIDC auth.
GoogleCloudAiplatformV1beta1AutomaticResources
A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration. Each Model supporting these resources documents its specific guidelines.
GoogleCloudAiplatformV1beta1AutoscalingMetricSpec
The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count.
GoogleCloudAiplatformV1beta1AvroSource
The storage details for Avro input content.
GoogleCloudAiplatformV1beta1BatchCancelPipelineJobsRequest
Request message for PipelineService.BatchCancelPipelineJobs.
GoogleCloudAiplatformV1beta1BatchCancelPipelineJobsResponse
Response message for PipelineService.BatchCancelPipelineJobs.
GoogleCloudAiplatformV1beta1BatchCreateFeaturesOperationMetadata
Details of operations that perform batch create Features.
GoogleCloudAiplatformV1beta1BatchCreateFeaturesRequest
Request message for FeaturestoreService.BatchCreateFeatures. Request message for FeatureRegistryService.BatchCreateFeatures.
GoogleCloudAiplatformV1beta1BatchCreateFeaturesResponse
Response message for FeaturestoreService.BatchCreateFeatures.
GoogleCloudAiplatformV1beta1BatchCreateTensorboardRunsRequest
Request message for TensorboardService.BatchCreateTensorboardRuns.
GoogleCloudAiplatformV1beta1BatchCreateTensorboardRunsResponse
Response message for TensorboardService.BatchCreateTensorboardRuns.
GoogleCloudAiplatformV1beta1BatchCreateTensorboardTimeSeriesRequest
Request message for TensorboardService.BatchCreateTensorboardTimeSeries.
GoogleCloudAiplatformV1beta1BatchCreateTensorboardTimeSeriesResponse
Response message for TensorboardService.BatchCreateTensorboardTimeSeries.
GoogleCloudAiplatformV1beta1BatchDedicatedResources
A description of resources that are used for performing batch operations, are dedicated to a Model, and need manual configuration.
GoogleCloudAiplatformV1beta1BatchDeletePipelineJobsRequest
Request message for PipelineService.BatchDeletePipelineJobs.
GoogleCloudAiplatformV1beta1BatchDeletePipelineJobsResponse
Response message for PipelineService.BatchDeletePipelineJobs.
GoogleCloudAiplatformV1beta1BatchImportEvaluatedAnnotationsRequest
Request message for ModelService.BatchImportEvaluatedAnnotations
GoogleCloudAiplatformV1beta1BatchImportEvaluatedAnnotationsResponse
Response message for ModelService.BatchImportEvaluatedAnnotations
GoogleCloudAiplatformV1beta1BatchImportModelEvaluationSlicesRequest
Request message for ModelService.BatchImportModelEvaluationSlices
GoogleCloudAiplatformV1beta1BatchImportModelEvaluationSlicesResponse
Response message for ModelService.BatchImportModelEvaluationSlices
GoogleCloudAiplatformV1beta1BatchMigrateResourcesOperationMetadata
Runtime operation information for MigrationService.BatchMigrateResources.
GoogleCloudAiplatformV1beta1BatchMigrateResourcesOperationMetadataPartialResult
Represents a partial result in batch migration operation for one MigrateResourceRequest.
GoogleCloudAiplatformV1beta1BatchMigrateResourcesRequest
Request message for MigrationService.BatchMigrateResources.
GoogleCloudAiplatformV1beta1BatchMigrateResourcesResponse
Response message for MigrationService.BatchMigrateResources.
GoogleCloudAiplatformV1beta1BatchPredictionJob
A job that uses a Model to produce predictions on multiple input instances. If predictions for significant portion of the instances fail, the job may finish without attempting predictions for all remaining instances.
GoogleCloudAiplatformV1beta1BatchPredictionJobInputConfig
Configures the input to BatchPredictionJob. See Model.supported_input_storage_formats for Model's supported input formats, and how instances should be expressed via any of them.
GoogleCloudAiplatformV1beta1BatchPredictionJobInstanceConfig
Configuration defining how to transform batch prediction input instances to the instances that the Model accepts.
GoogleCloudAiplatformV1beta1BatchPredictionJobOutputConfig
Configures the output of BatchPredictionJob. See Model.supported_output_storage_formats for supported output formats, and how predictions are expressed via any of them.
GoogleCloudAiplatformV1beta1BatchPredictionJobOutputInfo
Further describes this job's output. Supplements output_config.
GoogleCloudAiplatformV1beta1BatchReadFeatureValuesOperationMetadata
Details of operations that batch reads Feature values.
GoogleCloudAiplatformV1beta1BatchReadFeatureValuesRequest
Request message for FeaturestoreService.BatchReadFeatureValues.
GoogleCloudAiplatformV1beta1BatchReadFeatureValuesRequestEntityTypeSpec
Selects Features of an EntityType to read values of and specifies read settings.
GoogleCloudAiplatformV1beta1BatchReadFeatureValuesRequestPassThroughField
Describe pass-through fields in read_instance source.
GoogleCloudAiplatformV1beta1BatchReadFeatureValuesResponse
Response message for FeaturestoreService.BatchReadFeatureValues.
GoogleCloudAiplatformV1beta1BatchReadTensorboardTimeSeriesDataResponse
Response message for TensorboardService.BatchReadTensorboardTimeSeriesData.
GoogleCloudAiplatformV1beta1BigQueryDestination
The BigQuery location for the output content.
GoogleCloudAiplatformV1beta1BigQuerySource
The BigQuery location for the input content.
GoogleCloudAiplatformV1beta1BleuInput
Input for bleu metric.
GoogleCloudAiplatformV1beta1BleuInstance
Spec for bleu instance.
GoogleCloudAiplatformV1beta1BleuMetricValue
Bleu metric value for an instance.
GoogleCloudAiplatformV1beta1BleuResults
Results for bleu metric.
GoogleCloudAiplatformV1beta1BleuSpec
Spec for bleu score metric - calculates the precision of n-grams in the prediction as compared to reference - returns a score ranging between 0 to 1.
GoogleCloudAiplatformV1beta1Blob
Content blob. It's preferred to send as text directly rather than raw bytes.
GoogleCloudAiplatformV1beta1BlurBaselineConfig
Config for blur baseline. When enabled, a linear path from the maximally blurred image to the input image is created. Using a blurred baseline instead of zero (black image) is motivated by the BlurIG approach explained here: https://arxiv.org/abs/2004.03383
GoogleCloudAiplatformV1beta1BoolArray
A list of boolean values.
GoogleCloudAiplatformV1beta1CacheConfig
Config of GenAI caching features. This is a singleton resource.
GoogleCloudAiplatformV1beta1CachedContent
A resource used in LLM queries for users to explicitly specify what to cache and how to cache.
GoogleCloudAiplatformV1beta1CachedContentUsageMetadata
Metadata on the usage of the cached content.
GoogleCloudAiplatformV1beta1CancelBatchPredictionJobRequest
Request message for JobService.CancelBatchPredictionJob.
GoogleCloudAiplatformV1beta1CancelCustomJobRequest
Request message for JobService.CancelCustomJob.
GoogleCloudAiplatformV1beta1CancelDataLabelingJobRequest
Request message for JobService.CancelDataLabelingJob.
GoogleCloudAiplatformV1beta1CancelHyperparameterTuningJobRequest
Request message for JobService.CancelHyperparameterTuningJob.
GoogleCloudAiplatformV1beta1CancelNasJobRequest
Request message for JobService.CancelNasJob.
GoogleCloudAiplatformV1beta1CancelPipelineJobRequest
Request message for PipelineService.CancelPipelineJob.
GoogleCloudAiplatformV1beta1CancelTrainingPipelineRequest
Request message for PipelineService.CancelTrainingPipeline.
GoogleCloudAiplatformV1beta1CancelTuningJobRequest
Request message for GenAiTuningService.CancelTuningJob.
GoogleCloudAiplatformV1beta1Candidate
A response candidate generated from the model.
GoogleCloudAiplatformV1beta1CheckTrialEarlyStoppingStateMetatdata
This message will be placed in the metadata field of a google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.
GoogleCloudAiplatformV1beta1CheckTrialEarlyStoppingStateRequest
Request message for VizierService.CheckTrialEarlyStoppingState.
GoogleCloudAiplatformV1beta1CheckTrialEarlyStoppingStateResponse
Response message for VizierService.CheckTrialEarlyStoppingState.
GoogleCloudAiplatformV1beta1Citation
Source attributions for content.
GoogleCloudAiplatformV1beta1CitationMetadata
A collection of source attributions for a piece of content.
GoogleCloudAiplatformV1beta1Claim
Claim that is extracted from the input text and facts that support it.
GoogleCloudAiplatformV1beta1ClientConnectionConfig
Configurations (e.g. inference timeout) that are applied on your endpoints.
GoogleCloudAiplatformV1beta1CodeExecutionResult
Result of executing the [ExecutableCode]. Always follows a part
containing the [ExecutableCode].
GoogleCloudAiplatformV1beta1CoherenceInput
Input for coherence metric.
GoogleCloudAiplatformV1beta1CoherenceInstance
Spec for coherence instance.
GoogleCloudAiplatformV1beta1CoherenceResult
Spec for coherence result.
GoogleCloudAiplatformV1beta1CoherenceSpec
Spec for coherence score metric.
GoogleCloudAiplatformV1beta1CometInput
Input for Comet metric.
GoogleCloudAiplatformV1beta1CometInstance
Spec for Comet instance - The fields used for evaluation are dependent on the comet version.
GoogleCloudAiplatformV1beta1CometResult
Spec for Comet result - calculates the comet score for the given instance using the version specified in the spec.
GoogleCloudAiplatformV1beta1CometSpec
Spec for Comet metric.
GoogleCloudAiplatformV1beta1CompleteTrialRequest
Request message for VizierService.CompleteTrial.
GoogleCloudAiplatformV1beta1CompletionStats
Success and error statistics of processing multiple entities (for example, DataItems or structured data rows) in batch.
GoogleCloudAiplatformV1beta1ComputeTokensRequest
Request message for ComputeTokens RPC call.
GoogleCloudAiplatformV1beta1ComputeTokensResponse
Response message for ComputeTokens RPC call.
GoogleCloudAiplatformV1beta1ContainerRegistryDestination
The Container Registry location for the container image.
GoogleCloudAiplatformV1beta1ContainerSpec
The spec of a Container.
GoogleCloudAiplatformV1beta1Content
The base structured datatype containing multi-part content of a message. A Content
includes a role
field
designating the producer of the Content
and a parts
field containing multi-part data that contains the
content of the message turn.
GoogleCloudAiplatformV1beta1Context
Instance of a general context.
GoogleCloudAiplatformV1beta1CopyModelOperationMetadata
Details of ModelService.CopyModel operation.
GoogleCloudAiplatformV1beta1CopyModelRequest
Request message for ModelService.CopyModel.
GoogleCloudAiplatformV1beta1CopyModelResponse
Response message of ModelService.CopyModel operation.
GoogleCloudAiplatformV1beta1CorpusStatus
RagCorpus status.
GoogleCloudAiplatformV1beta1CorroborateContentRequest
Request message for CorroborateContent.
GoogleCloudAiplatformV1beta1CorroborateContentRequestParameters
Parameters that can be overrided per request.
GoogleCloudAiplatformV1beta1CorroborateContentResponse
Response message for CorroborateContent.
GoogleCloudAiplatformV1beta1CountTokensRequest
Request message for PredictionService.CountTokens.
GoogleCloudAiplatformV1beta1CountTokensResponse
Response message for PredictionService.CountTokens.
GoogleCloudAiplatformV1beta1CreateDatasetOperationMetadata
Runtime operation information for DatasetService.CreateDataset.
GoogleCloudAiplatformV1beta1CreateDatasetVersionOperationMetadata
Runtime operation information for DatasetService.CreateDatasetVersion.
GoogleCloudAiplatformV1beta1CreateDeploymentResourcePoolOperationMetadata
Runtime operation information for CreateDeploymentResourcePool method.
GoogleCloudAiplatformV1beta1CreateDeploymentResourcePoolRequest
Request message for CreateDeploymentResourcePool method.
GoogleCloudAiplatformV1beta1CreateEndpointOperationMetadata
Runtime operation information for EndpointService.CreateEndpoint.
GoogleCloudAiplatformV1beta1CreateEntityTypeOperationMetadata
Details of operations that perform create EntityType.
GoogleCloudAiplatformV1beta1CreateExtensionControllerOperationMetadata
Details of ExtensionControllerService.CreateExtensionController operation.
GoogleCloudAiplatformV1beta1CreateFeatureGroupOperationMetadata
Details of operations that perform create FeatureGroup.
GoogleCloudAiplatformV1beta1CreateFeatureOnlineStoreOperationMetadata
Details of operations that perform create FeatureOnlineStore.
GoogleCloudAiplatformV1beta1CreateFeatureOperationMetadata
Details of operations that perform create Feature.
GoogleCloudAiplatformV1beta1CreateFeatureRequest
Request message for FeaturestoreService.CreateFeature. Request message for FeatureRegistryService.CreateFeature.
GoogleCloudAiplatformV1beta1CreateFeatureViewOperationMetadata
Details of operations that perform create FeatureView.
GoogleCloudAiplatformV1beta1CreateFeaturestoreOperationMetadata
Details of operations that perform create Featurestore.
GoogleCloudAiplatformV1beta1CreateIndexEndpointOperationMetadata
Runtime operation information for IndexEndpointService.CreateIndexEndpoint.
GoogleCloudAiplatformV1beta1CreateIndexOperationMetadata
Runtime operation information for IndexService.CreateIndex.
GoogleCloudAiplatformV1beta1CreateMetadataStoreOperationMetadata
Details of operations that perform MetadataService.CreateMetadataStore.
GoogleCloudAiplatformV1beta1CreateModelMonitorOperationMetadata
Runtime operation information for ModelMonitoringService.CreateModelMonitor.
GoogleCloudAiplatformV1beta1CreateModelMonitoringJobRequest
Request message for ModelMonitoringService.CreateModelMonitoringJob.
GoogleCloudAiplatformV1beta1CreateNotebookExecutionJobOperationMetadata
Metadata information for NotebookService.CreateNotebookExecutionJob.
GoogleCloudAiplatformV1beta1CreateNotebookExecutionJobRequest
Request message for [NotebookService.CreateNotebookExecutionJob]
GoogleCloudAiplatformV1beta1CreateNotebookRuntimeTemplateOperationMetadata
Metadata information for NotebookService.CreateNotebookRuntimeTemplate.
GoogleCloudAiplatformV1beta1CreatePersistentResourceOperationMetadata
Details of operations that perform create PersistentResource.
GoogleCloudAiplatformV1beta1CreatePipelineJobRequest
Request message for PipelineService.CreatePipelineJob.
GoogleCloudAiplatformV1beta1CreateRegistryFeatureOperationMetadata
Details of operations that perform create FeatureGroup.
GoogleCloudAiplatformV1beta1CreateSolverOperationMetadata
Runtime operation information for SolverService.CreateSolver.
GoogleCloudAiplatformV1beta1CreateSpecialistPoolOperationMetadata
Runtime operation information for SpecialistPoolService.CreateSpecialistPool.
GoogleCloudAiplatformV1beta1CreateTensorboardOperationMetadata
Details of operations that perform create Tensorboard.
GoogleCloudAiplatformV1beta1CreateTensorboardRunRequest
Request message for TensorboardService.CreateTensorboardRun.
GoogleCloudAiplatformV1beta1CreateTensorboardTimeSeriesRequest
Request message for TensorboardService.CreateTensorboardTimeSeries.
GoogleCloudAiplatformV1beta1CsvDestination
The storage details for CSV output content.
GoogleCloudAiplatformV1beta1CsvSource
The storage details for CSV input content.
GoogleCloudAiplatformV1beta1CustomJob
Represents a job that runs custom workloads such as a Docker container or a Python package. A CustomJob can have multiple worker pools and each worker pool can have its own machine and input spec. A CustomJob will be cleaned up once the job enters terminal state (failed or succeeded).
GoogleCloudAiplatformV1beta1CustomJobSpec
Represents the spec of a CustomJob.
GoogleCloudAiplatformV1beta1DataItem
A piece of data in a Dataset. Could be an image, a video, a document or plain text.
GoogleCloudAiplatformV1beta1DataItemView
A container for a single DataItem and Annotations on it.
GoogleCloudAiplatformV1beta1DataLabelingJob
DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:
GoogleCloudAiplatformV1beta1Dataset
A collection of DataItems and Annotations on them.
GoogleCloudAiplatformV1beta1DatasetDistribution
Distribution computed over a tuning dataset.
GoogleCloudAiplatformV1beta1DatasetDistributionDistributionBucket
Dataset bucket used to create a histogram for the distribution given a population of values.
GoogleCloudAiplatformV1beta1DatasetStats
Statistics computed over a tuning dataset.
GoogleCloudAiplatformV1beta1DatasetVersion
Describes the dataset version.
GoogleCloudAiplatformV1beta1DedicatedResources
A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration.
GoogleCloudAiplatformV1beta1DeleteFeatureValuesOperationMetadata
Details of operations that delete Feature values.
GoogleCloudAiplatformV1beta1DeleteFeatureValuesRequest
Request message for FeaturestoreService.DeleteFeatureValues.
GoogleCloudAiplatformV1beta1DeleteFeatureValuesRequestSelectEntity
Message to select entity. If an entity id is selected, all the feature values corresponding to the entity id will be deleted, including the entityId.
GoogleCloudAiplatformV1beta1DeleteFeatureValuesRequestSelectTimeRangeAndFeature
Message to select time range and feature. Values of the selected feature generated within an inclusive time range will be deleted. Using this option permanently deletes the feature values from the specified feature IDs within the specified time range. This might include data from the online storage. If you want to retain any deleted historical data in the online storage, you must re-ingest it.
GoogleCloudAiplatformV1beta1DeleteFeatureValuesResponse
Response message for FeaturestoreService.DeleteFeatureValues.
GoogleCloudAiplatformV1beta1DeleteFeatureValuesResponseSelectEntity
Response message if the request uses the SelectEntity option.
GoogleCloudAiplatformV1beta1DeleteFeatureValuesResponseSelectTimeRangeAndFeature
Response message if the request uses the SelectTimeRangeAndFeature option.
GoogleCloudAiplatformV1beta1DeleteMetadataStoreOperationMetadata
Details of operations that perform MetadataService.DeleteMetadataStore.
GoogleCloudAiplatformV1beta1DeleteOperationMetadata
Details of operations that perform deletes of any entities.
GoogleCloudAiplatformV1beta1DeployIndexOperationMetadata
Runtime operation information for IndexEndpointService.DeployIndex.
GoogleCloudAiplatformV1beta1DeployIndexRequest
Request message for IndexEndpointService.DeployIndex.
GoogleCloudAiplatformV1beta1DeployIndexResponse
Response message for IndexEndpointService.DeployIndex.
GoogleCloudAiplatformV1beta1DeployModelOperationMetadata
Runtime operation information for EndpointService.DeployModel.
GoogleCloudAiplatformV1beta1DeployModelRequest
Request message for EndpointService.DeployModel.
GoogleCloudAiplatformV1beta1DeployModelResponse
Response message for EndpointService.DeployModel.
GoogleCloudAiplatformV1beta1DeploySolverOperationMetadata
Runtime operation information for SolverService.DeploySolver.
GoogleCloudAiplatformV1beta1DeployedIndex
A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes.
GoogleCloudAiplatformV1beta1DeployedIndexAuthConfig
Used to set up the auth on the DeployedIndex's private endpoint.
GoogleCloudAiplatformV1beta1DeployedIndexAuthConfigAuthProvider
Configuration for an authentication provider, including support for JSON Web Token (JWT).
GoogleCloudAiplatformV1beta1DeployedIndexRef
Points to a DeployedIndex.
GoogleCloudAiplatformV1beta1DeployedModel
A deployment of a Model. Endpoints contain one or more DeployedModels.
GoogleCloudAiplatformV1beta1DeployedModelRef
Points to a DeployedModel.
GoogleCloudAiplatformV1beta1DeploymentResourcePool
A description of resources that can be shared by multiple DeployedModels, whose underlying specification consists of a DedicatedResources.
GoogleCloudAiplatformV1beta1DestinationFeatureSetting
GoogleCloudAiplatformV1beta1DirectPredictRequest
Request message for PredictionService.DirectPredict.
GoogleCloudAiplatformV1beta1DirectPredictResponse
Response message for PredictionService.DirectPredict.
GoogleCloudAiplatformV1beta1DirectRawPredictRequest
Request message for PredictionService.DirectRawPredict.
GoogleCloudAiplatformV1beta1DirectRawPredictResponse
Response message for PredictionService.DirectRawPredict.
GoogleCloudAiplatformV1beta1DirectUploadSource
The input content is encapsulated and uploaded in the request.
GoogleCloudAiplatformV1beta1DiskSpec
Represents the spec of disk options.
GoogleCloudAiplatformV1beta1DistillationDataStats
Statistics computed for datasets used for distillation.
GoogleCloudAiplatformV1beta1DistillationHyperParameters
Hyperparameters for Distillation.
GoogleCloudAiplatformV1beta1DistillationSpec
Tuning Spec for Distillation.
GoogleCloudAiplatformV1beta1DoubleArray
A list of double values.
GoogleCloudAiplatformV1beta1DynamicRetrievalConfig
Describes the options to customize dynamic retrieval.
GoogleCloudAiplatformV1beta1EncryptionSpec
Represents a customer-managed encryption key spec that can be applied to a top-level resource.
GoogleCloudAiplatformV1beta1Endpoint
Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.
GoogleCloudAiplatformV1beta1EntityIdSelector
Selector for entityId. Getting ids from the given source.
GoogleCloudAiplatformV1beta1EntityType
An entity type is a type of object in a system that needs to be modeled and have stored information about. For example, driver is an entity type, and driver0 is an instance of an entity type driver.
GoogleCloudAiplatformV1beta1EnvVar
Represents an environment variable present in a Container or Python Module.
GoogleCloudAiplatformV1beta1ErrorAnalysisAnnotation
Model error analysis for each annotation.
GoogleCloudAiplatformV1beta1ErrorAnalysisAnnotationAttributedItem
Attributed items for a given annotation, typically representing neighbors from the training sets constrained by the query type.
GoogleCloudAiplatformV1beta1EvaluateInstancesRequest
Request message for EvaluationService.EvaluateInstances.
GoogleCloudAiplatformV1beta1EvaluateInstancesResponse
Response message for EvaluationService.EvaluateInstances.
GoogleCloudAiplatformV1beta1EvaluatedAnnotation
True positive, false positive, or false negative. EvaluatedAnnotation is only available under
ModelEvaluationSlice with slice of annotationSpec
dimension.
GoogleCloudAiplatformV1beta1EvaluatedAnnotationExplanation
Explanation result of the prediction produced by the Model.
GoogleCloudAiplatformV1beta1Event
An edge describing the relationship between an Artifact and an Execution in a lineage graph.
GoogleCloudAiplatformV1beta1ExactMatchInput
Input for exact match metric.
GoogleCloudAiplatformV1beta1ExactMatchInstance
Spec for exact match instance.
GoogleCloudAiplatformV1beta1ExactMatchMetricValue
Exact match metric value for an instance.
GoogleCloudAiplatformV1beta1ExactMatchResults
Results for exact match metric.
GoogleCloudAiplatformV1beta1ExactMatchSpec
Spec for exact match metric - returns 1 if prediction and reference exactly matches, otherwise 0.
GoogleCloudAiplatformV1beta1Examples
Example-based explainability that returns the nearest neighbors from the provided dataset.
GoogleCloudAiplatformV1beta1ExamplesExampleGcsSource
The Cloud Storage input instances.
GoogleCloudAiplatformV1beta1ExamplesOverride
Overrides for example-based explanations.
GoogleCloudAiplatformV1beta1ExamplesRestrictionsNamespace
Restrictions namespace for example-based explanations overrides.
GoogleCloudAiplatformV1beta1ExecutableCode
Code generated by the model that is meant to be executed, and the result returned to the model. Generated when using the [FunctionDeclaration] tool and [FunctionCallingConfig] mode is set to [Mode.CODE].
GoogleCloudAiplatformV1beta1ExecuteExtensionRequest
Request message for ExtensionExecutionService.ExecuteExtension.
GoogleCloudAiplatformV1beta1ExecuteExtensionResponse
Response message for ExtensionExecutionService.ExecuteExtension.
GoogleCloudAiplatformV1beta1Execution
Instance of a general execution.
GoogleCloudAiplatformV1beta1ExplainRequest
Request message for PredictionService.Explain.
GoogleCloudAiplatformV1beta1ExplainResponse
Response message for PredictionService.Explain.
GoogleCloudAiplatformV1beta1ExplainResponseConcurrentExplanation
This message is a wrapper grouping Concurrent Explanations.
GoogleCloudAiplatformV1beta1Explanation
Explanation of a prediction (provided in PredictResponse.predictions) produced by the Model on a given instance.
GoogleCloudAiplatformV1beta1ExplanationMetadata
Metadata describing the Model's input and output for explanation.
GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadata
Metadata of the input of a feature. Fields other than InputMetadata.input_baselines are applicable only for Models that are using Vertex AI-provided images for Tensorflow.
GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataFeatureValueDomain
Domain details of the input feature value. Provides numeric information about the feature, such as its range (min, max). If the feature has been pre-processed, for example with z-scoring, then it provides information about how to recover the original feature. For example, if the input feature is an image and it has been pre-processed to obtain 0-mean and stddev = 1 values, then original_mean, and original_stddev refer to the mean and stddev of the original feature (e.g. image tensor) from which input feature (with mean = 0 and stddev = 1) was obtained.
GoogleCloudAiplatformV1beta1ExplanationMetadataInputMetadataVisualization
Visualization configurations for image explanation.
GoogleCloudAiplatformV1beta1ExplanationMetadataOutputMetadata
Metadata of the prediction output to be explained.
GoogleCloudAiplatformV1beta1ExplanationMetadataOverride
The ExplanationMetadata entries that can be overridden at online explanation time.
GoogleCloudAiplatformV1beta1ExplanationMetadataOverrideInputMetadataOverride
The input metadata entries to be overridden.
GoogleCloudAiplatformV1beta1ExplanationParameters
Parameters to configure explaining for Model's predictions.
GoogleCloudAiplatformV1beta1ExplanationSpec
Specification of Model explanation.
GoogleCloudAiplatformV1beta1ExplanationSpecOverride
The ExplanationSpec entries that can be overridden at online explanation time.
GoogleCloudAiplatformV1beta1ExportDataConfig
Describes what part of the Dataset is to be exported, the destination of the export and how to export.
GoogleCloudAiplatformV1beta1ExportDataOperationMetadata
Runtime operation information for DatasetService.ExportData.
GoogleCloudAiplatformV1beta1ExportDataRequest
Request message for DatasetService.ExportData.
GoogleCloudAiplatformV1beta1ExportDataResponse
Response message for DatasetService.ExportData.
GoogleCloudAiplatformV1beta1ExportFeatureValuesOperationMetadata
Details of operations that exports Features values.
GoogleCloudAiplatformV1beta1ExportFeatureValuesRequest
Request message for FeaturestoreService.ExportFeatureValues.
GoogleCloudAiplatformV1beta1ExportFeatureValuesRequestFullExport
Describes exporting all historical Feature values of all entities of the EntityType between [start_time, end_time].
GoogleCloudAiplatformV1beta1ExportFeatureValuesRequestSnapshotExport
Describes exporting the latest Feature values of all entities of the EntityType between [start_time, snapshot_time].
GoogleCloudAiplatformV1beta1ExportFeatureValuesResponse
Response message for FeaturestoreService.ExportFeatureValues.
GoogleCloudAiplatformV1beta1ExportFractionSplit
Assigns the input data to training, validation, and test sets as per the given fractions. Any of
training_fraction
, validation_fraction
and test_fraction
may optionally be provided, they must sum to up
to 1. If the provided ones sum to less than 1, the remainder is assigned to sets as decided by Vertex AI. If
none of the fractions are set, by default roughly 80% of data is used for training, 10% for validation, and 10%
for test.
GoogleCloudAiplatformV1beta1ExportModelOperationMetadata
Details of ModelService.ExportModel operation.
GoogleCloudAiplatformV1beta1ExportModelOperationMetadataOutputInfo
Further describes the output of the ExportModel. Supplements ExportModelRequest.OutputConfig.
GoogleCloudAiplatformV1beta1ExportModelRequest
Request message for ModelService.ExportModel.
GoogleCloudAiplatformV1beta1ExportModelRequestOutputConfig
Output configuration for the Model export.
GoogleCloudAiplatformV1beta1ExportModelResponse
Response message of ModelService.ExportModel operation.
GoogleCloudAiplatformV1beta1ExportTensorboardTimeSeriesDataRequest
Request message for TensorboardService.ExportTensorboardTimeSeriesData.
GoogleCloudAiplatformV1beta1ExportTensorboardTimeSeriesDataResponse
Response message for TensorboardService.ExportTensorboardTimeSeriesData.
GoogleCloudAiplatformV1beta1Extension
Extensions are tools for large language models to access external data, run computations, etc.
GoogleCloudAiplatformV1beta1ExtensionManifest
Manifest spec of an Extension needed for runtime execution.
GoogleCloudAiplatformV1beta1ExtensionManifestApiSpec
The API specification shown to the LLM.
GoogleCloudAiplatformV1beta1ExtensionOperation
Operation of an extension.
GoogleCloudAiplatformV1beta1ExtensionPrivateServiceConnectConfig
PrivateExtensionConfig configuration for the extension.
GoogleCloudAiplatformV1beta1Fact
The fact used in grounding.
GoogleCloudAiplatformV1beta1FasterDeploymentConfig
Configuration for faster model deployment.
GoogleCloudAiplatformV1beta1Feature
Feature Metadata information. For example, color is a feature that describes an apple.
GoogleCloudAiplatformV1beta1FeatureGroup
Vertex AI Feature Group.
GoogleCloudAiplatformV1beta1FeatureGroupBigQuery
Input source type for BigQuery Tables and Views.
GoogleCloudAiplatformV1beta1FeatureGroupBigQueryTimeSeries
GoogleCloudAiplatformV1beta1FeatureMonitor
Vertex AI Feature Monitor.
GoogleCloudAiplatformV1beta1FeatureMonitorJob
Vertex AI Feature Monitor Job.
GoogleCloudAiplatformV1beta1FeatureMonitorJobJobSummary
Summary from the FeatureMonitorJob.
GoogleCloudAiplatformV1beta1FeatureMonitoringStatsAnomaly
A list of historical SnapshotAnalysis or ImportFeaturesAnalysis stats requested by user, sorted by FeatureStatsAnomaly.start_time descending.
GoogleCloudAiplatformV1beta1FeatureNoiseSigma
Noise sigma by features. Noise sigma represents the standard deviation of the gaussian kernel that will be used to add noise to interpolated inputs prior to computing gradients.
GoogleCloudAiplatformV1beta1FeatureNoiseSigmaNoiseSigmaForFeature
Noise sigma for a single feature.
GoogleCloudAiplatformV1beta1FeatureOnlineStore
Vertex AI Feature Online Store provides a centralized repository for serving ML features and embedding indexes at low latency. The Feature Online Store is a top-level container.
GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtable
GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableAutoScaling
GoogleCloudAiplatformV1beta1FeatureOnlineStoreDedicatedServingEndpoint
The dedicated serving endpoint for this FeatureOnlineStore. Only need to set when you choose Optimized storage type. Public endpoint is provisioned by default.
GoogleCloudAiplatformV1beta1FeatureOnlineStoreEmbeddingManagement
Deprecated: This sub message is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type. Contains settings for embedding management.
GoogleCloudAiplatformV1beta1FeatureOnlineStoreOptimized
Optimized storage type
GoogleCloudAiplatformV1beta1FeatureSelectionConfig
Feature selection configuration for the FeatureMonitor.
GoogleCloudAiplatformV1beta1FeatureSelectionConfigFeatureConfig
Feature configuration.
GoogleCloudAiplatformV1beta1FeatureSelector
Selector for Features of an EntityType.
GoogleCloudAiplatformV1beta1FeatureStatsAndAnomaly
Stats and Anomaly generated by FeatureMonitorJobs. Anomaly only includes Drift.
GoogleCloudAiplatformV1beta1FeatureStatsAnomaly
Stats and Anomaly generated at specific timestamp for specific Feature. The start_time and end_time are used to define the time range of the dataset that current stats belongs to, e.g. prediction traffic is bucketed into prediction datasets by time window. If the Dataset is not defined by time window, start_time = end_time. Timestamp of the stats and anomalies always refers to end_time. Raw stats and anomalies are stored in stats_uri or anomaly_uri in the tensorflow defined protos. Field data_stats contains almost identical information with the raw stats in Vertex AI defined proto, for UI to display.
GoogleCloudAiplatformV1beta1FeatureValue
Value for a feature.
GoogleCloudAiplatformV1beta1FeatureValueDestination
A destination location for Feature values and format.
GoogleCloudAiplatformV1beta1FeatureValueList
Container for list of values.
GoogleCloudAiplatformV1beta1FeatureValueMetadata
Metadata of feature value.
GoogleCloudAiplatformV1beta1FeatureView
FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig.
GoogleCloudAiplatformV1beta1FeatureViewBigQuerySource
GoogleCloudAiplatformV1beta1FeatureViewDataKey
Lookup key for a feature view.
GoogleCloudAiplatformV1beta1FeatureViewDataKeyCompositeKey
ID that is comprised from several parts (columns).
GoogleCloudAiplatformV1beta1FeatureViewFeatureRegistrySource
A Feature Registry source for features that need to be synced to Online Store.
GoogleCloudAiplatformV1beta1FeatureViewFeatureRegistrySourceFeatureGroup
Features belonging to a single feature group that will be synced to Online Store.
GoogleCloudAiplatformV1beta1FeatureViewIndexConfig
Configuration for vector indexing.
GoogleCloudAiplatformV1beta1FeatureViewIndexConfigBruteForceConfig
Configuration options for using brute force search.
GoogleCloudAiplatformV1beta1FeatureViewIndexConfigTreeAHConfig
Configuration options for the tree-AH algorithm.
GoogleCloudAiplatformV1beta1FeatureViewOptimizedConfig
Configuration for FeatureViews created in Optimized FeatureOnlineStore.
GoogleCloudAiplatformV1beta1FeatureViewSync
FeatureViewSync is a representation of sync operation which copies data from data source to Feature View in Online Store.
GoogleCloudAiplatformV1beta1FeatureViewSyncConfig
Configuration for Sync. Only one option is set.
GoogleCloudAiplatformV1beta1FeatureViewSyncSyncSummary
Summary from the Sync job. For continuous syncs, the summary is updated periodically. For batch syncs, it gets updated on completion of the sync.
GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfig
Deprecated. Use IndexConfig instead.
GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigBruteForceConfig
GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigTreeAHConfig
GoogleCloudAiplatformV1beta1FeatureViewVertexRagSource
A Vertex Rag source for features that need to be synced to Online Store.
GoogleCloudAiplatformV1beta1Featurestore
Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features. The Featurestore is a top-level container for your features and their values.
GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfig
Configuration of how features in Featurestore are monitored.
GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigImportFeaturesAnalysis
Configuration of the Featurestore's ImportFeature Analysis Based Monitoring. This type of analysis generates statistics for values of each Feature imported by every ImportFeatureValues operation.
GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigSnapshotAnalysis
Configuration of the Featurestore's Snapshot Analysis Based Monitoring. This type of analysis generates statistics for each Feature based on a snapshot of the latest feature value of each entities every monitoring_interval.
GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfig
The config for Featurestore Monitoring threshold.
GoogleCloudAiplatformV1beta1FeaturestoreOnlineServingConfig
OnlineServingConfig specifies the details for provisioning online serving resources.
GoogleCloudAiplatformV1beta1FeaturestoreOnlineServingConfigScaling
Online serving scaling configuration. If min_node_count and max_node_count are set to the same value, the cluster will be configured with the fixed number of node (no auto-scaling).
GoogleCloudAiplatformV1beta1FetchFeatureValuesRequest
Request message for FeatureOnlineStoreService.FetchFeatureValues. All the features under the requested feature view will be returned.
GoogleCloudAiplatformV1beta1FetchFeatureValuesResponse
Response message for FeatureOnlineStoreService.FetchFeatureValues
GoogleCloudAiplatformV1beta1FetchFeatureValuesResponseFeatureNameValuePairList
Response structure in the format of key (feature name) and (feature) value pair.
GoogleCloudAiplatformV1beta1FetchFeatureValuesResponseFeatureNameValuePairListFeatureNameValuePair
Feature name & value pair.
GoogleCloudAiplatformV1beta1FetchPredictOperationRequest
Request message for PredictionService.FetchPredictOperation.
GoogleCloudAiplatformV1beta1FileData
URI based data.
GoogleCloudAiplatformV1beta1FileStatus
RagFile status.
GoogleCloudAiplatformV1beta1FilterSplit
Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored. Currently only supported for Datasets containing DataItems. If any of the filters in this message are to match nothing, then they can be set as '-' (the minus sign). Supported only for unstructured Datasets.
GoogleCloudAiplatformV1beta1FindNeighborsRequest
The request message for MatchService.FindNeighbors.
GoogleCloudAiplatformV1beta1FindNeighborsRequestQuery
A query to find a number of the nearest neighbors (most similar vectors) of a vector.
GoogleCloudAiplatformV1beta1FindNeighborsRequestQueryRRF
Parameters for RRF algorithm that combines search results.
GoogleCloudAiplatformV1beta1FindNeighborsResponse
The response message for MatchService.FindNeighbors.
GoogleCloudAiplatformV1beta1FindNeighborsResponseNearestNeighbors
Nearest neighbors for one query.
GoogleCloudAiplatformV1beta1FindNeighborsResponseNeighbor
A neighbor of the query vector.
GoogleCloudAiplatformV1beta1FluencyInput
Input for fluency metric.
GoogleCloudAiplatformV1beta1FluencyInstance
Spec for fluency instance.
GoogleCloudAiplatformV1beta1FluencyResult
Spec for fluency result.
GoogleCloudAiplatformV1beta1FluencySpec
Spec for fluency score metric.
GoogleCloudAiplatformV1beta1FractionSplit
Assigns the input data to training, validation, and test sets as per the given fractions. Any of
training_fraction
, validation_fraction
and test_fraction
may optionally be provided, they must sum to up
to 1. If the provided ones sum to less than 1, the remainder is assigned to sets as decided by Vertex AI. If
none of the fractions are set, by default roughly 80% of data is used for training, 10% for validation, and 10%
for test.
GoogleCloudAiplatformV1beta1FulfillmentInput
Input for fulfillment metric.
GoogleCloudAiplatformV1beta1FulfillmentInstance
Spec for fulfillment instance.
GoogleCloudAiplatformV1beta1FulfillmentResult
Spec for fulfillment result.
GoogleCloudAiplatformV1beta1FulfillmentSpec
Spec for fulfillment metric.
GoogleCloudAiplatformV1beta1FunctionCall
A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values.
GoogleCloudAiplatformV1beta1FunctionCallingConfig
Function calling config.
GoogleCloudAiplatformV1beta1FunctionDeclaration
Structured representation of a function declaration as defined by the OpenAPI 3.0
specification. Included in this declaration are the function name,
description, parameters and response type. This FunctionDeclaration is a representation of a block of code that
can be used as a Tool
by the model and executed by the client.
GoogleCloudAiplatformV1beta1FunctionResponse
The result output from a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a [FunctionCall] made based on model prediction.
GoogleCloudAiplatformV1beta1GcsDestination
The Google Cloud Storage location where the output is to be written to.
GoogleCloudAiplatformV1beta1GcsSource
The Google Cloud Storage location for the input content.
GoogleCloudAiplatformV1beta1GenerateAccessTokenRequest
Request message for NotebookInternalService.GenerateAccessToken.
GoogleCloudAiplatformV1beta1GenerateAccessTokenResponse
Response message for NotebookInternalService.GenerateToken.
GoogleCloudAiplatformV1beta1GenerateContentRequest
Request message for [PredictionService.GenerateContent].
GoogleCloudAiplatformV1beta1GenerateContentResponse
Response message for [PredictionService.GenerateContent].
GoogleCloudAiplatformV1beta1GenerateContentResponsePromptFeedback
Content filter results for a prompt sent in the request.
GoogleCloudAiplatformV1beta1GenerateContentResponseUsageMetadata
Usage metadata about response(s).
GoogleCloudAiplatformV1beta1GenerateVideoResponse
Generate video response.
GoogleCloudAiplatformV1beta1GenerationConfig
Generation config.
GoogleCloudAiplatformV1beta1GenerationConfigRoutingConfig
The configuration for routing the request to a specific model.
GoogleCloudAiplatformV1beta1GenerationConfigRoutingConfigAutoRoutingMode
When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference.
GoogleCloudAiplatformV1beta1GenerationConfigRoutingConfigManualRoutingMode
When manual routing is set, the specified model will be used directly.
GoogleCloudAiplatformV1beta1GenericOperationMetadata
Generic Metadata shared by all operations.
GoogleCloudAiplatformV1beta1GenieSource
Contains information about the source of the models generated from Generative AI Studio.
GoogleCloudAiplatformV1beta1GoogleDriveSource
The Google Drive location for the input content.
GoogleCloudAiplatformV1beta1GoogleDriveSourceResourceId
The type and ID of the Google Drive resource.
GoogleCloudAiplatformV1beta1GoogleSearchRetrieval
Tool to retrieve public web data for grounding, powered by Google.
GoogleCloudAiplatformV1beta1GroundednessInput
Input for groundedness metric.
GoogleCloudAiplatformV1beta1GroundednessInstance
Spec for groundedness instance.
GoogleCloudAiplatformV1beta1GroundednessResult
Spec for groundedness result.
GoogleCloudAiplatformV1beta1GroundednessSpec
Spec for groundedness metric.
GoogleCloudAiplatformV1beta1GroundingChunk
Grounding chunk.
GoogleCloudAiplatformV1beta1GroundingChunkRetrievedContext
Chunk from context retrieved by the retrieval tools.
GoogleCloudAiplatformV1beta1GroundingChunkWeb
Chunk from the web.
GoogleCloudAiplatformV1beta1GroundingMetadata
Metadata returned to client when grounding is enabled.
GoogleCloudAiplatformV1beta1GroundingSupport
Grounding support.
GoogleCloudAiplatformV1beta1HyperparameterTuningJob
Represents a HyperparameterTuningJob. A HyperparameterTuningJob has a Study specification and multiple CustomJobs with identical CustomJob specification.
GoogleCloudAiplatformV1beta1IdMatcher
Matcher for Features of an EntityType by Feature ID.
GoogleCloudAiplatformV1beta1ImportDataConfig
Describes the location from where we import data into a Dataset, together with the labels that will be applied to the DataItems and the Annotations.
GoogleCloudAiplatformV1beta1ImportDataOperationMetadata
Runtime operation information for DatasetService.ImportData.
GoogleCloudAiplatformV1beta1ImportDataRequest
Request message for DatasetService.ImportData.
GoogleCloudAiplatformV1beta1ImportDataResponse
Response message for DatasetService.ImportData.
GoogleCloudAiplatformV1beta1ImportExtensionOperationMetadata
Details of ExtensionRegistryService.ImportExtension operation.
GoogleCloudAiplatformV1beta1ImportFeatureValuesOperationMetadata
Details of operations that perform import Feature values.
GoogleCloudAiplatformV1beta1ImportFeatureValuesRequest
Request message for FeaturestoreService.ImportFeatureValues.
GoogleCloudAiplatformV1beta1ImportFeatureValuesRequestFeatureSpec
Defines the Feature value(s) to import.
GoogleCloudAiplatformV1beta1ImportFeatureValuesResponse
Response message for FeaturestoreService.ImportFeatureValues.
GoogleCloudAiplatformV1beta1ImportModelEvaluationRequest
Request message for ModelService.ImportModelEvaluation
GoogleCloudAiplatformV1beta1ImportRagFilesConfig
Config for importing RagFiles.
GoogleCloudAiplatformV1beta1ImportRagFilesRequest
Request message for VertexRagDataService.ImportRagFiles.
GoogleCloudAiplatformV1beta1Index
A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.
GoogleCloudAiplatformV1beta1IndexDatapoint
A datapoint of Index.
GoogleCloudAiplatformV1beta1IndexDatapointCrowdingTag
Crowding tag is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.
GoogleCloudAiplatformV1beta1IndexDatapointNumericRestriction
This field allows restricts to be based on numeric comparisons rather than categorical tokens.
GoogleCloudAiplatformV1beta1IndexDatapointRestriction
Restriction of a datapoint which describe its attributes(tokens) from each of several attribute categories(namespaces).
GoogleCloudAiplatformV1beta1IndexDatapointSparseEmbedding
Feature embedding vector for sparse index. An array of numbers whose values are located in the specified dimensions.
GoogleCloudAiplatformV1beta1IndexEndpoint
Indexes are deployed into it. An IndexEndpoint can have multiple DeployedIndexes.
GoogleCloudAiplatformV1beta1IndexPrivateEndpoints
IndexPrivateEndpoints proto is used to provide paths for users to send requests via private endpoints (e.g. private service access, private service connect). To send request via private service access, use match_grpc_address. To send request via private service connect, use service_attachment.
GoogleCloudAiplatformV1beta1IndexStats
Stats of the Index.
GoogleCloudAiplatformV1beta1InputDataConfig
Specifies Vertex AI owned input data to be used for training, and possibly evaluating, the Model.
GoogleCloudAiplatformV1beta1Int64Array
A list of int64 values.
GoogleCloudAiplatformV1beta1IntegratedGradientsAttribution
An attribution method that computes the Aumann-Shapley value taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1703.01365
GoogleCloudAiplatformV1beta1InternalOsServiceStateInstance
Request message for [InternalOsServiceStateInstance].
GoogleCloudAiplatformV1beta1JiraSource
The Jira source for the ImportRagFilesRequest.
GoogleCloudAiplatformV1beta1JiraSourceJiraQueries
JiraQueries contains the Jira queries and corresponding authentication.
GoogleCloudAiplatformV1beta1LargeModelReference
Contains information about the Large Model.
GoogleCloudAiplatformV1beta1LineageSubgraph
A subgraph of the overall lineage graph. Event edges connect Artifact and Execution nodes.
GoogleCloudAiplatformV1beta1ListAnnotationsResponse
Response message for DatasetService.ListAnnotations.
GoogleCloudAiplatformV1beta1ListArtifactsResponse
Response message for MetadataService.ListArtifacts.
GoogleCloudAiplatformV1beta1ListBatchPredictionJobsResponse
Response message for JobService.ListBatchPredictionJobs
GoogleCloudAiplatformV1beta1ListCachedContentsResponse
Response with a list of CachedContents.
GoogleCloudAiplatformV1beta1ListContextsResponse
Response message for MetadataService.ListContexts.
GoogleCloudAiplatformV1beta1ListCustomJobsResponse
Response message for JobService.ListCustomJobs
GoogleCloudAiplatformV1beta1ListDataItemsResponse
Response message for DatasetService.ListDataItems.
GoogleCloudAiplatformV1beta1ListDataLabelingJobsResponse
Response message for JobService.ListDataLabelingJobs.
GoogleCloudAiplatformV1beta1ListDatasetVersionsResponse
Response message for DatasetService.ListDatasetVersions.
GoogleCloudAiplatformV1beta1ListDatasetsResponse
Response message for DatasetService.ListDatasets.
GoogleCloudAiplatformV1beta1ListDeploymentResourcePoolsResponse
Response message for ListDeploymentResourcePools method.
GoogleCloudAiplatformV1beta1ListEndpointsResponse
Response message for EndpointService.ListEndpoints.
GoogleCloudAiplatformV1beta1ListEntityTypesResponse
Response message for FeaturestoreService.ListEntityTypes.
GoogleCloudAiplatformV1beta1ListExecutionsResponse
Response message for MetadataService.ListExecutions.
GoogleCloudAiplatformV1beta1ListExtensionsResponse
Response message for ExtensionRegistryService.ListExtensions
GoogleCloudAiplatformV1beta1ListFeatureGroupsResponse
Response message for FeatureRegistryService.ListFeatureGroups.
GoogleCloudAiplatformV1beta1ListFeatureMonitorJobsResponse
Response message for FeatureRegistryService.ListFeatureMonitorJobs.
GoogleCloudAiplatformV1beta1ListFeatureMonitorsResponse
Response message for FeatureRegistryService.ListFeatureMonitors.
GoogleCloudAiplatformV1beta1ListFeatureOnlineStoresResponse
Response message for FeatureOnlineStoreAdminService.ListFeatureOnlineStores.
GoogleCloudAiplatformV1beta1ListFeatureViewSyncsResponse
Response message for FeatureOnlineStoreAdminService.ListFeatureViewSyncs.
GoogleCloudAiplatformV1beta1ListFeatureViewsResponse
Response message for FeatureOnlineStoreAdminService.ListFeatureViews.
GoogleCloudAiplatformV1beta1ListFeaturesResponse
Response message for FeaturestoreService.ListFeatures. Response message for FeatureRegistryService.ListFeatures.
GoogleCloudAiplatformV1beta1ListFeaturestoresResponse
Response message for FeaturestoreService.ListFeaturestores.
GoogleCloudAiplatformV1beta1ListHyperparameterTuningJobsResponse
Response message for JobService.ListHyperparameterTuningJobs
GoogleCloudAiplatformV1beta1ListIndexEndpointsResponse
Response message for IndexEndpointService.ListIndexEndpoints.
GoogleCloudAiplatformV1beta1ListIndexesResponse
Response message for IndexService.ListIndexes.
GoogleCloudAiplatformV1beta1ListMetadataSchemasResponse
Response message for MetadataService.ListMetadataSchemas.
GoogleCloudAiplatformV1beta1ListMetadataStoresResponse
Response message for MetadataService.ListMetadataStores.
GoogleCloudAiplatformV1beta1ListModelDeploymentMonitoringJobsResponse
Response message for JobService.ListModelDeploymentMonitoringJobs.
GoogleCloudAiplatformV1beta1ListModelEvaluationSlicesResponse
Response message for ModelService.ListModelEvaluationSlices.
GoogleCloudAiplatformV1beta1ListModelEvaluationsResponse
Response message for ModelService.ListModelEvaluations.
GoogleCloudAiplatformV1beta1ListModelMonitoringJobsResponse
Response message for ModelMonitoringService.ListModelMonitoringJobs.
GoogleCloudAiplatformV1beta1ListModelMonitorsResponse
Response message for ModelMonitoringService.ListModelMonitors
GoogleCloudAiplatformV1beta1ListModelVersionsResponse
Response message for ModelService.ListModelVersions
GoogleCloudAiplatformV1beta1ListModelsResponse
Response message for ModelService.ListModels
GoogleCloudAiplatformV1beta1ListNasJobsResponse
Response message for JobService.ListNasJobs
GoogleCloudAiplatformV1beta1ListNasTrialDetailsResponse
Response message for JobService.ListNasTrialDetails
GoogleCloudAiplatformV1beta1ListNotebookExecutionJobsResponse
Response message for [NotebookService.CreateNotebookExecutionJob]
GoogleCloudAiplatformV1beta1ListNotebookRuntimeTemplatesResponse
Response message for NotebookService.ListNotebookRuntimeTemplates.
GoogleCloudAiplatformV1beta1ListNotebookRuntimesResponse
Response message for NotebookService.ListNotebookRuntimes.
GoogleCloudAiplatformV1beta1ListOptimalTrialsRequest
Request message for VizierService.ListOptimalTrials.
GoogleCloudAiplatformV1beta1ListOptimalTrialsResponse
Response message for VizierService.ListOptimalTrials.
GoogleCloudAiplatformV1beta1ListPersistentResourcesResponse
Response message for PersistentResourceService.ListPersistentResources
GoogleCloudAiplatformV1beta1ListPipelineJobsResponse
Response message for PipelineService.ListPipelineJobs
GoogleCloudAiplatformV1beta1ListPublisherModelsResponse
Response message for ModelGardenService.ListPublisherModels.
GoogleCloudAiplatformV1beta1ListRagCorporaResponse
Response message for VertexRagDataService.ListRagCorpora.
GoogleCloudAiplatformV1beta1ListRagFilesResponse
Response message for VertexRagDataService.ListRagFiles.
GoogleCloudAiplatformV1beta1ListReasoningEnginesResponse
Response message for ReasoningEngineService.ListReasoningEngines
GoogleCloudAiplatformV1beta1ListSavedQueriesResponse
Response message for DatasetService.ListSavedQueries.
GoogleCloudAiplatformV1beta1ListSchedulesResponse
Response message for ScheduleService.ListSchedules
GoogleCloudAiplatformV1beta1ListSpecialistPoolsResponse
Response message for SpecialistPoolService.ListSpecialistPools.
GoogleCloudAiplatformV1beta1ListStudiesResponse
Response message for VizierService.ListStudies.
GoogleCloudAiplatformV1beta1ListTensorboardExperimentsResponse
Response message for TensorboardService.ListTensorboardExperiments.
GoogleCloudAiplatformV1beta1ListTensorboardRunsResponse
Response message for TensorboardService.ListTensorboardRuns.
GoogleCloudAiplatformV1beta1ListTensorboardTimeSeriesResponse
Response message for TensorboardService.ListTensorboardTimeSeries.
GoogleCloudAiplatformV1beta1ListTensorboardsResponse
Response message for TensorboardService.ListTensorboards.
GoogleCloudAiplatformV1beta1ListTrainingPipelinesResponse
Response message for PipelineService.ListTrainingPipelines
GoogleCloudAiplatformV1beta1ListTrialsResponse
Response message for VizierService.ListTrials.
GoogleCloudAiplatformV1beta1ListTuningJobsResponse
Response message for GenAiTuningService.ListTuningJobs
GoogleCloudAiplatformV1beta1LogprobsResult
Logprobs Result
GoogleCloudAiplatformV1beta1LogprobsResultCandidate
Candidate for the logprobs token and score.
GoogleCloudAiplatformV1beta1LogprobsResultTopCandidates
Candidates with top log probabilities at each decoding step.
GoogleCloudAiplatformV1beta1LookupStudyRequest
Request message for VizierService.LookupStudy.
GoogleCloudAiplatformV1beta1MachineSpec
Specification of a single machine.
GoogleCloudAiplatformV1beta1ManualBatchTuningParameters
Manual batch tuning parameters.
GoogleCloudAiplatformV1beta1Measurement
A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values.
GoogleCloudAiplatformV1beta1MeasurementMetric
A message representing a metric in the measurement.
GoogleCloudAiplatformV1beta1MergeVersionAliasesRequest
Request message for ModelService.MergeVersionAliases.
GoogleCloudAiplatformV1beta1MetadataSchema
Instance of a general MetadataSchema.
GoogleCloudAiplatformV1beta1MetadataStore
Instance of a metadata store. Contains a set of metadata that can be queried.
GoogleCloudAiplatformV1beta1MetadataStoreDataplexConfig
Represents Dataplex integration settings.
GoogleCloudAiplatformV1beta1MetadataStoreMetadataStoreState
Represents state information for a MetadataStore.
GoogleCloudAiplatformV1beta1MetricxInput
Input for MetricX metric.
GoogleCloudAiplatformV1beta1MetricxInstance
Spec for MetricX instance - The fields used for evaluation are dependent on the MetricX version.
GoogleCloudAiplatformV1beta1MetricxResult
Spec for MetricX result - calculates the MetricX score for the given instance using the version specified in the spec.
GoogleCloudAiplatformV1beta1MetricxSpec
Spec for MetricX metric.
GoogleCloudAiplatformV1beta1MigratableResource
Represents one resource that exists in automl.googleapis.com, datalabeling.googleapis.com or ml.googleapis.com.
GoogleCloudAiplatformV1beta1MigratableResourceAutomlDataset
Represents one Dataset in automl.googleapis.com.
GoogleCloudAiplatformV1beta1MigratableResourceAutomlModel
Represents one Model in automl.googleapis.com.
GoogleCloudAiplatformV1beta1MigratableResourceDataLabelingDataset
Represents one Dataset in datalabeling.googleapis.com.
GoogleCloudAiplatformV1beta1MigratableResourceDataLabelingDatasetDataLabelingAnnotatedDataset
Represents one AnnotatedDataset in datalabeling.googleapis.com.
GoogleCloudAiplatformV1beta1MigratableResourceMlEngineModelVersion
Represents one model Version in ml.googleapis.com.
GoogleCloudAiplatformV1beta1MigrateResourceRequest
Config of migrating one resource from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
GoogleCloudAiplatformV1beta1MigrateResourceRequestMigrateAutomlDatasetConfig
Config for migrating Dataset in automl.googleapis.com to Vertex AI's Dataset.
GoogleCloudAiplatformV1beta1MigrateResourceRequestMigrateAutomlModelConfig
Config for migrating Model in automl.googleapis.com to Vertex AI's Model.
GoogleCloudAiplatformV1beta1MigrateResourceRequestMigrateDataLabelingDatasetConfig
Config for migrating Dataset in datalabeling.googleapis.com to Vertex AI's Dataset.
GoogleCloudAiplatformV1beta1MigrateResourceRequestMigrateDataLabelingDatasetConfigMigrateDataLabelingAnnotatedDatasetConfig
Config for migrating AnnotatedDataset in datalabeling.googleapis.com to Vertex AI's SavedQuery.
GoogleCloudAiplatformV1beta1MigrateResourceRequestMigrateMlEngineModelVersionConfig
Config for migrating version in ml.googleapis.com to Vertex AI's Model.
GoogleCloudAiplatformV1beta1MigrateResourceResponse
Describes a successfully migrated resource.
GoogleCloudAiplatformV1beta1Model
A trained machine learning Model.
GoogleCloudAiplatformV1beta1ModelBaseModelSource
User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models.
GoogleCloudAiplatformV1beta1ModelContainerSpec
Specification of a container for serving predictions. Some fields in this message correspond to fields in the Kubernetes Container v1 core specification.
GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringBigQueryTable
ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.
GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJob
Represents a job that runs periodically to monitor the deployed models in an endpoint. It will analyze the logged training & prediction data to detect any abnormal behaviors.
GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJobLatestMonitoringPipelineMetadata
All metadata of most recent monitoring pipelines.
GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringObjectiveConfig
ModelDeploymentMonitoringObjectiveConfig contains the pair of deployed_model_id to ModelMonitoringObjectiveConfig.
GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringScheduleConfig
The config for scheduling monitoring job.
GoogleCloudAiplatformV1beta1ModelEvaluation
A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.
GoogleCloudAiplatformV1beta1ModelEvaluationBiasConfig
Configuration for bias detection.
GoogleCloudAiplatformV1beta1ModelEvaluationModelEvaluationExplanationSpec
GoogleCloudAiplatformV1beta1ModelEvaluationSlice
A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.
GoogleCloudAiplatformV1beta1ModelEvaluationSliceSlice
Definition of a slice.
GoogleCloudAiplatformV1beta1ModelEvaluationSliceSliceSliceSpec
Specification for how the data should be sliced.
GoogleCloudAiplatformV1beta1ModelEvaluationSliceSliceSliceSpecRange
A range of values for slice(s). low
is inclusive, high
is exclusive.
GoogleCloudAiplatformV1beta1ModelEvaluationSliceSliceSliceSpecSliceConfig
Specification message containing the config for this SliceSpec. When kind
is selected as value
and/or
range
, only a single slice will be computed. When all_values
is present, a separate slice will be computed
for each possible label/value for the corresponding key in config
. Examples, with feature zip_code with values
12345, 23334, 88888 and feature country with values "US", "Canada", "Mexico" in the dataset: Example 1: {
"zip_code": { "value": { "float_value": 12345.0 } } } A single slice for any data with zip_code 12345 in the
dataset. Example 2: { "zip_code": { "range": { "low": 12345, "high": 20000 } } } A single slice containing data
where the zip_codes between 12345 and 20000 For this example, data with the zip_code of 12345 will be in this
slice. Example 3: { "zip_code": { "range": { "low": 10000, "high": 20000 } }, "country": { "value": {
"string_value": "US" } } } A single slice containing data where the zip_codes between 10000 and 20000 has the
country "US". For this example, data with the zip_code of 12345 and country "US" will be in this slice. Example
4: { "country": {"all_values": { "value": true } } } Three slices are computed, one for each unique country in
the dataset. Example 5: { "country": { "all_values": { "value": true } }, "zip_code": { "value": {
"float_value": 12345.0 } } } Three slices are computed, one for each unique country in the dataset where the
zip_code is also 12345. For this example, data with zip_code 12345 and country "US" will be in one slice,
zip_code 12345 and country "Canada" in another slice, and zip_code 12345 and country "Mexico" in another slice,
totaling 3 slices.
GoogleCloudAiplatformV1beta1ModelEvaluationSliceSliceSliceSpecValue
Single value that supports strings and floats.
GoogleCloudAiplatformV1beta1ModelExplanation
Aggregated explanation metrics for a Model over a set of instances.
GoogleCloudAiplatformV1beta1ModelExportFormat
Represents export format supported by the Model. All formats export to Google Cloud Storage.
GoogleCloudAiplatformV1beta1ModelGardenSource
Contains information about the source of the models generated from Model Garden.
GoogleCloudAiplatformV1beta1ModelMonitor
Vertex AI Model Monitoring Service serves as a central hub for the analysis and visualization of data quality and performance related to models. ModelMonitor stands as a top level resource for overseeing your model monitoring tasks.
GoogleCloudAiplatformV1beta1ModelMonitorModelMonitoringTarget
The monitoring target refers to the entity that is subject to analysis. e.g. Vertex AI Model version.
GoogleCloudAiplatformV1beta1ModelMonitorModelMonitoringTargetVertexModelSource
Model in Vertex AI Model Registry.
GoogleCloudAiplatformV1beta1ModelMonitoringAlert
Represents a single monitoring alert. This is currently used in the SearchModelMonitoringAlerts api, thus the alert wrapped in this message belongs to the resource asked in the request.
GoogleCloudAiplatformV1beta1ModelMonitoringAlertCondition
Monitoring alert triggered condition.
GoogleCloudAiplatformV1beta1ModelMonitoringAlertConfig
The alert config for model monitoring.
GoogleCloudAiplatformV1beta1ModelMonitoringAlertConfigEmailAlertConfig
The config for email alert.
GoogleCloudAiplatformV1beta1ModelMonitoringAnomaly
Represents a single model monitoring anomaly.
GoogleCloudAiplatformV1beta1ModelMonitoringAnomalyTabularAnomaly
Tabular anomaly details.
GoogleCloudAiplatformV1beta1ModelMonitoringConfig
The model monitoring configuration used for Batch Prediction Job.
GoogleCloudAiplatformV1beta1ModelMonitoringInput
Model monitoring data input spec.
GoogleCloudAiplatformV1beta1ModelMonitoringInputBatchPredictionOutput
Data from Vertex AI Batch prediction job output.
GoogleCloudAiplatformV1beta1ModelMonitoringInputModelMonitoringDataset
Input dataset spec.
GoogleCloudAiplatformV1beta1ModelMonitoringInputModelMonitoringDatasetModelMonitoringBigQuerySource
Dataset spec for data sotred in BigQuery.
GoogleCloudAiplatformV1beta1ModelMonitoringInputModelMonitoringDatasetModelMonitoringGcsSource
Dataset spec for data stored in Google Cloud Storage.
GoogleCloudAiplatformV1beta1ModelMonitoringInputTimeOffset
Time offset setting.
GoogleCloudAiplatformV1beta1ModelMonitoringInputVertexEndpointLogs
Data from Vertex AI Endpoint request response logging.
GoogleCloudAiplatformV1beta1ModelMonitoringJob
Represents a model monitoring job that analyze dataset using different monitoring algorithm.
GoogleCloudAiplatformV1beta1ModelMonitoringJobExecutionDetail
Represent the execution details of the job.
GoogleCloudAiplatformV1beta1ModelMonitoringJobExecutionDetailProcessedDataset
Processed dataset information.
GoogleCloudAiplatformV1beta1ModelMonitoringNotificationSpec
Notification spec(email, notification channel) for model monitoring statistics/alerts.
GoogleCloudAiplatformV1beta1ModelMonitoringNotificationSpecEmailConfig
The config for email alerts.
GoogleCloudAiplatformV1beta1ModelMonitoringNotificationSpecNotificationChannelConfig
Google Cloud Notification Channel config.
GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfig
The objective configuration for model monitoring, including the information needed to detect anomalies for one particular model.
GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfigExplanationConfig
The config for integrating with Vertex Explainable AI. Only applicable if the Model has explanation_spec populated.
GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfigExplanationConfigExplanationBaseline
Output from BatchPredictionJob for Model Monitoring baseline dataset, which can be used to generate baseline attribution scores.
GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfigPredictionDriftDetectionConfig
The config for Prediction data drift detection.
GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfigTrainingDataset
Training Dataset information.
GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig
The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.
GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveSpec
Monitoring objectives spec.
GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveSpecDataDriftSpec
Data drift monitoring spec. Data drift measures the distribution distance between the current dataset and a baseline dataset. A typical use case is to detect data drift between the recent production serving dataset and the training dataset, or to compare the recent production dataset with a dataset from a previous period.
GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveSpecFeatureAttributionSpec
Feature attribution monitoring spec.
GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveSpecTabularObjective
Tabular monitoring objective.
GoogleCloudAiplatformV1beta1ModelMonitoringOutputSpec
Specification for the export destination of monitoring results, including metrics, logs, etc.
GoogleCloudAiplatformV1beta1ModelMonitoringSchema
The Model Monitoring Schema definition.
GoogleCloudAiplatformV1beta1ModelMonitoringSchemaFieldSchema
Schema field definition.
GoogleCloudAiplatformV1beta1ModelMonitoringSpec
Monitoring monitoring job spec. It outlines the specifications for monitoring objectives, notifications, and result exports.
GoogleCloudAiplatformV1beta1ModelMonitoringStats
Represents the collection of statistics for a metric.
GoogleCloudAiplatformV1beta1ModelMonitoringStatsAnomalies
Statistics and anomalies generated by Model Monitoring.
GoogleCloudAiplatformV1beta1ModelMonitoringStatsAnomaliesFeatureHistoricStatsAnomalies
Historical Stats (and Anomalies) for a specific Feature.
GoogleCloudAiplatformV1beta1ModelMonitoringStatsDataPoint
Represents a single statistics data point.
GoogleCloudAiplatformV1beta1ModelMonitoringStatsDataPointTypedValue
Typed value of the statistics.
GoogleCloudAiplatformV1beta1ModelMonitoringStatsDataPointTypedValueDistributionDataValue
Summary statistics for a population of values.
GoogleCloudAiplatformV1beta1ModelMonitoringTabularStats
A collection of data points that describes the time-varying values of a tabular metric.
GoogleCloudAiplatformV1beta1ModelOriginalModelInfo
Contains information about the original Model if this Model is a copy.
GoogleCloudAiplatformV1beta1ModelSourceInfo
Detail description of the source information of the model.
GoogleCloudAiplatformV1beta1MutateDeployedIndexOperationMetadata
Runtime operation information for IndexEndpointService.MutateDeployedIndex.
GoogleCloudAiplatformV1beta1MutateDeployedIndexResponse
Response message for IndexEndpointService.MutateDeployedIndex.
GoogleCloudAiplatformV1beta1MutateDeployedModelOperationMetadata
Runtime operation information for EndpointService.MutateDeployedModel.
GoogleCloudAiplatformV1beta1MutateDeployedModelRequest
Request message for EndpointService.MutateDeployedModel.
GoogleCloudAiplatformV1beta1MutateDeployedModelResponse
Response message for EndpointService.MutateDeployedModel.
GoogleCloudAiplatformV1beta1NasJob
Represents a Neural Architecture Search (NAS) job.
GoogleCloudAiplatformV1beta1NasJobOutput
Represents a uCAIP NasJob output.
GoogleCloudAiplatformV1beta1NasJobOutputMultiTrialJobOutput
The output of a multi-trial Neural Architecture Search (NAS) jobs.
GoogleCloudAiplatformV1beta1NasJobSpec
Represents the spec of a NasJob.
GoogleCloudAiplatformV1beta1NasJobSpecMultiTrialAlgorithmSpec
The spec of multi-trial Neural Architecture Search (NAS).
GoogleCloudAiplatformV1beta1NasJobSpecMultiTrialAlgorithmSpecMetricSpec
Represents a metric to optimize.
GoogleCloudAiplatformV1beta1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpec
Represent spec for search trials.
GoogleCloudAiplatformV1beta1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpec
Represent spec for train trials.
GoogleCloudAiplatformV1beta1NasTrial
Represents a uCAIP NasJob trial.
GoogleCloudAiplatformV1beta1NasTrialDetail
Represents a NasTrial details along with its parameters. If there is a corresponding train NasTrial, the train NasTrial is also returned.
GoogleCloudAiplatformV1beta1NearestNeighborQuery
A query to find a number of similar entities.
GoogleCloudAiplatformV1beta1NearestNeighborQueryEmbedding
The embedding vector.
GoogleCloudAiplatformV1beta1NearestNeighborQueryNumericFilter
Numeric filter is used to search a subset of the entities by using boolean rules on numeric columns. For example: Database Point 0: {name: "a" value_int: 42} {name: "b" value_float: 1.0} Database Point 1: {name: "a" value_int: 10} {name: "b" value_float: 2.0} Database Point 2: {name: "a" value_int: -1} {name: "b" value_float: 3.0} Query: {name: "a" value_int: 12 operator: LESS} // Matches Point 1, 2 {name: "b" value_float: 2.0 operator: EQUAL} // Matches Point 1
GoogleCloudAiplatformV1beta1NearestNeighborQueryParameters
Parameters that can be overrided in each query to tune query latency and recall.
GoogleCloudAiplatformV1beta1NearestNeighborQueryStringFilter
String filter is used to search a subset of the entities by using boolean rules on string columns. For example: if a query specifies string filter with 'name = color, allow_tokens = {red, blue}, deny_tokens = {purple}',' then that query will match entities that are red or blue, but if those points are also purple, then they will be excluded even if they are red/blue. Only string filter is supported for now, numeric filter will be supported in the near future.
GoogleCloudAiplatformV1beta1NearestNeighborSearchOperationMetadata
Runtime operation metadata with regard to Matching Engine Index.
GoogleCloudAiplatformV1beta1NearestNeighborSearchOperationMetadataContentValidationStats
GoogleCloudAiplatformV1beta1NearestNeighborSearchOperationMetadataRecordError
GoogleCloudAiplatformV1beta1NearestNeighbors
Nearest neighbors for one query.
GoogleCloudAiplatformV1beta1NearestNeighborsNeighbor
A neighbor of the query vector.
GoogleCloudAiplatformV1beta1Neighbor
Neighbors for example-based explanations.
GoogleCloudAiplatformV1beta1NetworkSpec
Network spec.
GoogleCloudAiplatformV1beta1NfsMount
Represents a mount configuration for Network File System (NFS) to mount.
GoogleCloudAiplatformV1beta1NotebookEucConfig
The euc configuration of NotebookRuntimeTemplate.
GoogleCloudAiplatformV1beta1NotebookExecutionJob
NotebookExecutionJob represents an instance of a notebook execution.
GoogleCloudAiplatformV1beta1NotebookExecutionJobCustomEnvironmentSpec
Compute configuration to use for an execution job.
GoogleCloudAiplatformV1beta1NotebookExecutionJobDataformRepositorySource
The Dataform Repository containing the input notebook.
GoogleCloudAiplatformV1beta1NotebookExecutionJobDirectNotebookSource
The content of the input notebook in ipynb format.
GoogleCloudAiplatformV1beta1NotebookExecutionJobGcsNotebookSource
The Cloud Storage uri for the input notebook.
GoogleCloudAiplatformV1beta1NotebookExecutionJobWorkbenchRuntime
Configuration for a Workbench Instances-based environment.
GoogleCloudAiplatformV1beta1NotebookIdleShutdownConfig
The idle shutdown configuration of NotebookRuntimeTemplate, which contains the idle_timeout as required field.
GoogleCloudAiplatformV1beta1NotebookRuntime
A runtime is a virtual machine allocated to a particular user for a particular Notebook file on temporary basis with lifetime limited to 24 hours.
GoogleCloudAiplatformV1beta1NotebookRuntimeTemplate
A template that specifies runtime configurations such as machine type, runtime version, network configurations, etc. Multiple runtimes can be created from a runtime template.
GoogleCloudAiplatformV1beta1NotebookRuntimeTemplateRef
Points to a NotebookRuntimeTemplateRef.
GoogleCloudAiplatformV1beta1PSCAutomationConfig
PSC config that is used to automatically create forwarding rule via ServiceConnectionMap.
GoogleCloudAiplatformV1beta1PairwiseMetricInput
Input for pairwise metric.
GoogleCloudAiplatformV1beta1PairwiseMetricInstance
Pairwise metric instance. Usually one instance corresponds to one row in an evaluation dataset.
GoogleCloudAiplatformV1beta1PairwiseMetricResult
Spec for pairwise metric result.
GoogleCloudAiplatformV1beta1PairwiseMetricSpec
Spec for pairwise metric.
GoogleCloudAiplatformV1beta1PairwiseQuestionAnsweringQualityInput
Input for pairwise question answering quality metric.
GoogleCloudAiplatformV1beta1PairwiseQuestionAnsweringQualityInstance
Spec for pairwise question answering quality instance.
GoogleCloudAiplatformV1beta1PairwiseQuestionAnsweringQualityResult
Spec for pairwise question answering quality result.
GoogleCloudAiplatformV1beta1PairwiseQuestionAnsweringQualitySpec
Spec for pairwise question answering quality score metric.
GoogleCloudAiplatformV1beta1PairwiseSummarizationQualityInput
Input for pairwise summarization quality metric.
GoogleCloudAiplatformV1beta1PairwiseSummarizationQualityInstance
Spec for pairwise summarization quality instance.
GoogleCloudAiplatformV1beta1PairwiseSummarizationQualityResult
Spec for pairwise summarization quality result.
GoogleCloudAiplatformV1beta1PairwiseSummarizationQualitySpec
Spec for pairwise summarization quality score metric.
GoogleCloudAiplatformV1beta1Part
A datatype containing media that is part of a multi-part Content
message. A Part
consists of data which has
an associated datatype. A Part
can only contain one of the accepted types in Part.data
. A Part
must have a
fixed IANA MIME type identifying the type and subtype of the media if inline_data
or file_data
field is
filled with raw bytes.
GoogleCloudAiplatformV1beta1PartnerModelTuningSpec
Tuning spec for Partner models.
GoogleCloudAiplatformV1beta1PauseModelDeploymentMonitoringJobRequest
Request message for JobService.PauseModelDeploymentMonitoringJob.
GoogleCloudAiplatformV1beta1PauseScheduleRequest
Request message for ScheduleService.PauseSchedule.
GoogleCloudAiplatformV1beta1PersistentDiskSpec
Represents the spec of persistent disk options.
GoogleCloudAiplatformV1beta1PersistentResource
Represents long-lasting resources that are dedicated to users to runs custom workloads. A PersistentResource can have multiple node pools and each node pool can have its own machine spec.
GoogleCloudAiplatformV1beta1PipelineJob
An instance of a machine learning PipelineJob.
GoogleCloudAiplatformV1beta1PipelineJobDetail
The runtime detail of PipelineJob.
GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfig
The runtime config of a PipelineJob.
GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigDefaultRuntime
The default runtime for the PipelineJob.
GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigInputArtifact
The type of an input artifact.
GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigPersistentResourceRuntimeDetail
Persistent resource based runtime detail. For more information, refer to https://cloud.google.com/vertex-ai/docs/training/persistent-resource-overview
GoogleCloudAiplatformV1beta1PipelineTaskDetail
The runtime detail of a task execution.
GoogleCloudAiplatformV1beta1PipelineTaskDetailArtifactList
A list of artifact metadata.
GoogleCloudAiplatformV1beta1PipelineTaskDetailPipelineTaskStatus
A single record of the task status.
GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetail
The runtime detail of a pipeline executor.
GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailContainerDetail
The detail of a container execution. It contains the job names of the lifecycle of a container execution.
GoogleCloudAiplatformV1beta1PipelineTaskExecutorDetailCustomJobDetail
The detailed info for a custom job executor.
GoogleCloudAiplatformV1beta1PipelineTaskRerunConfig
User provided rerun config to submit a rerun pipelinejob. This includes 1. Which task to rerun 2. User override input parameters and artifacts.
GoogleCloudAiplatformV1beta1PipelineTaskRerunConfigArtifactList
A list of artifact metadata.
GoogleCloudAiplatformV1beta1PipelineTaskRerunConfigInputs
Runtime inputs data of the task.
GoogleCloudAiplatformV1beta1PipelineTemplateMetadata
Pipeline template metadata if PipelineJob.template_uri is from supported template registry. Currently, the only supported registry is Artifact Registry.
GoogleCloudAiplatformV1beta1PointwiseMetricInput
Input for pointwise metric.
GoogleCloudAiplatformV1beta1PointwiseMetricInstance
Pointwise metric instance. Usually one instance corresponds to one row in an evaluation dataset.
GoogleCloudAiplatformV1beta1PointwiseMetricResult
Spec for pointwise metric result.
GoogleCloudAiplatformV1beta1PointwiseMetricSpec
Spec for pointwise metric.
GoogleCloudAiplatformV1beta1Port
Represents a network port in a container.
GoogleCloudAiplatformV1beta1PredefinedSplit
Assigns input data to training, validation, and test sets based on the value of a provided key. Supported only for tabular Datasets.
GoogleCloudAiplatformV1beta1PredictLongRunningMetadata
Metadata for PredictLongRunning long running operations.
GoogleCloudAiplatformV1beta1PredictLongRunningRequest
Request message for PredictionService.PredictLongRunning.
GoogleCloudAiplatformV1beta1PredictLongRunningResponse
Response message for [PredictionService.PredictLongRunning]
GoogleCloudAiplatformV1beta1PredictRequest
Request message for PredictionService.Predict.
GoogleCloudAiplatformV1beta1PredictRequestResponseLoggingConfig
Configuration for logging request-response to a BigQuery table.
GoogleCloudAiplatformV1beta1PredictResponse
Response message for PredictionService.Predict.
GoogleCloudAiplatformV1beta1PredictSchemata
Contains the schemata used in Model's predictions and explanations via PredictionService.Predict, PredictionService.Explain and BatchPredictionJob.
GoogleCloudAiplatformV1beta1Presets
Preset configuration for example-based explanations
GoogleCloudAiplatformV1beta1PrivateEndpoints
PrivateEndpoints proto is used to provide paths for users to send requests privately. To send request via private service access, use predict_http_uri, explain_http_uri or health_http_uri. To send request via private service connect, use service_attachment.
GoogleCloudAiplatformV1beta1PrivateServiceConnectConfig
Represents configuration for private service connect.
GoogleCloudAiplatformV1beta1Probe
Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic.
GoogleCloudAiplatformV1beta1ProbeExecAction
ExecAction specifies a command to execute.
GoogleCloudAiplatformV1beta1PscAutomatedEndpoints
PscAutomatedEndpoints defines the output of the forwarding rule automatically created by each PscAutomationConfig.
GoogleCloudAiplatformV1beta1PscInterfaceConfig
Configuration for PSC-I.
GoogleCloudAiplatformV1beta1PublisherModel
A Model Garden Publisher Model.
GoogleCloudAiplatformV1beta1PublisherModelCallToAction
Actions could take on this Publisher Model.
GoogleCloudAiplatformV1beta1PublisherModelCallToActionDeploy
Model metadata that is needed for UploadModel or DeployModel/CreateEndpoint requests.
GoogleCloudAiplatformV1beta1PublisherModelCallToActionDeployDeployMetadata
Metadata information about the deployment for managing deployment config.
GoogleCloudAiplatformV1beta1PublisherModelCallToActionDeployGke
Configurations for PublisherModel GKE deployment
GoogleCloudAiplatformV1beta1PublisherModelCallToActionDeployVertex
Multiple setups to deploy the PublisherModel.
GoogleCloudAiplatformV1beta1PublisherModelCallToActionOpenFineTuningPipelines
Open fine tuning pipelines.
GoogleCloudAiplatformV1beta1PublisherModelCallToActionOpenNotebooks
Open notebooks.
GoogleCloudAiplatformV1beta1PublisherModelCallToActionRegionalResourceReferences
The regional resource name or the URI. Key is region, e.g., us-central1, europe-west2, global, etc..
GoogleCloudAiplatformV1beta1PublisherModelCallToActionViewRestApi
Rest API docs.
GoogleCloudAiplatformV1beta1PublisherModelDocumentation
A named piece of documentation.
GoogleCloudAiplatformV1beta1PublisherModelParent
The information about the parent of a model.
GoogleCloudAiplatformV1beta1PublisherModelResourceReference
Reference to a resource.
GoogleCloudAiplatformV1beta1PurgeArtifactsMetadata
Details of operations that perform MetadataService.PurgeArtifacts.
GoogleCloudAiplatformV1beta1PurgeArtifactsRequest
Request message for MetadataService.PurgeArtifacts.
GoogleCloudAiplatformV1beta1PurgeArtifactsResponse
Response message for MetadataService.PurgeArtifacts.
GoogleCloudAiplatformV1beta1PurgeContextsMetadata
Details of operations that perform MetadataService.PurgeContexts.
GoogleCloudAiplatformV1beta1PurgeContextsRequest
Request message for MetadataService.PurgeContexts.
GoogleCloudAiplatformV1beta1PurgeContextsResponse
Response message for MetadataService.PurgeContexts.
GoogleCloudAiplatformV1beta1PurgeExecutionsMetadata
Details of operations that perform MetadataService.PurgeExecutions.
GoogleCloudAiplatformV1beta1PurgeExecutionsRequest
Request message for MetadataService.PurgeExecutions.
GoogleCloudAiplatformV1beta1PurgeExecutionsResponse
Response message for MetadataService.PurgeExecutions.
GoogleCloudAiplatformV1beta1PythonPackageSpec
The spec of a Python packaged code.
GoogleCloudAiplatformV1beta1QueryDeployedModelsResponse
Response message for QueryDeployedModels method.
GoogleCloudAiplatformV1beta1QueryExtensionRequest
Request message for ExtensionExecutionService.QueryExtension.
GoogleCloudAiplatformV1beta1QueryExtensionResponse
Response message for ExtensionExecutionService.QueryExtension.
GoogleCloudAiplatformV1beta1QueryReasoningEngineRequest
Request message for ReasoningEngineExecutionService.Query.
GoogleCloudAiplatformV1beta1QueryReasoningEngineResponse
Response message for ReasoningEngineExecutionService.Query
GoogleCloudAiplatformV1beta1QuestionAnsweringCorrectnessInput
Input for question answering correctness metric.
GoogleCloudAiplatformV1beta1QuestionAnsweringCorrectnessInstance
Spec for question answering correctness instance.
GoogleCloudAiplatformV1beta1QuestionAnsweringCorrectnessResult
Spec for question answering correctness result.
GoogleCloudAiplatformV1beta1QuestionAnsweringCorrectnessSpec
Spec for question answering correctness metric.
GoogleCloudAiplatformV1beta1QuestionAnsweringHelpfulnessInput
Input for question answering helpfulness metric.
GoogleCloudAiplatformV1beta1QuestionAnsweringHelpfulnessInstance
Spec for question answering helpfulness instance.
GoogleCloudAiplatformV1beta1QuestionAnsweringHelpfulnessResult
Spec for question answering helpfulness result.
GoogleCloudAiplatformV1beta1QuestionAnsweringHelpfulnessSpec
Spec for question answering helpfulness metric.
GoogleCloudAiplatformV1beta1QuestionAnsweringQualityInput
Input for question answering quality metric.
GoogleCloudAiplatformV1beta1QuestionAnsweringQualityInstance
Spec for question answering quality instance.
GoogleCloudAiplatformV1beta1QuestionAnsweringQualityResult
Spec for question answering quality result.
GoogleCloudAiplatformV1beta1QuestionAnsweringQualitySpec
Spec for question answering quality score metric.
GoogleCloudAiplatformV1beta1QuestionAnsweringRelevanceInput
Input for question answering relevance metric.
GoogleCloudAiplatformV1beta1QuestionAnsweringRelevanceInstance
Spec for question answering relevance instance.
GoogleCloudAiplatformV1beta1QuestionAnsweringRelevanceResult
Spec for question answering relevance result.
GoogleCloudAiplatformV1beta1QuestionAnsweringRelevanceSpec
Spec for question answering relevance metric.
GoogleCloudAiplatformV1beta1RagContexts
Relevant contexts for one query.
GoogleCloudAiplatformV1beta1RagContextsContext
A context of the query.
GoogleCloudAiplatformV1beta1RagCorpus
A RagCorpus is a RagFile container and a project can have multiple RagCorpora.
GoogleCloudAiplatformV1beta1RagEmbeddingModelConfig
Config for the embedding model to use for RAG.
GoogleCloudAiplatformV1beta1RagEmbeddingModelConfigHybridSearchConfig
Config for hybrid search.
GoogleCloudAiplatformV1beta1RagEmbeddingModelConfigSparseEmbeddingConfig
Configuration for sparse emebdding generation.
GoogleCloudAiplatformV1beta1RagEmbeddingModelConfigSparseEmbeddingConfigBm25
Message for BM25 parameters.
GoogleCloudAiplatformV1beta1RagEmbeddingModelConfigVertexPredictionEndpoint
Config representing a model hosted on Vertex Prediction Endpoint.
GoogleCloudAiplatformV1beta1RagFile
A RagFile contains user data for chunking, embedding and indexing.
GoogleCloudAiplatformV1beta1RagFileChunkingConfig
Specifies the size and overlap of chunks for RagFiles.
GoogleCloudAiplatformV1beta1RagFileParsingConfig
Specifies the parsing config for RagFiles.
GoogleCloudAiplatformV1beta1RagQuery
A query to retrieve relevant contexts.
GoogleCloudAiplatformV1beta1RagQueryRanking
Configurations for hybrid search results ranking.
GoogleCloudAiplatformV1beta1RagVectorDbConfig
Config for the Vector DB to use for RAG.
GoogleCloudAiplatformV1beta1RagVectorDbConfigPinecone
The config for the Pinecone.
GoogleCloudAiplatformV1beta1RagVectorDbConfigRagManagedDb
The config for the default RAG-managed Vector DB.
GoogleCloudAiplatformV1beta1RagVectorDbConfigVertexFeatureStore
The config for the Vertex Feature Store.
GoogleCloudAiplatformV1beta1RagVectorDbConfigVertexVectorSearch
The config for the Vertex Vector Search.
GoogleCloudAiplatformV1beta1RagVectorDbConfigWeaviate
The config for the Weaviate.
GoogleCloudAiplatformV1beta1RawPredictRequest
Request message for PredictionService.RawPredict.
GoogleCloudAiplatformV1beta1RayLogsSpec
Configuration for the Ray OSS Logs.
GoogleCloudAiplatformV1beta1RayMetricSpec
Configuration for the Ray metrics.
GoogleCloudAiplatformV1beta1RaySpec
Configuration information for the Ray cluster. For experimental launch, Ray cluster creation and Persistent cluster creation are 1:1 mapping: We will provision all the nodes within the Persistent cluster as Ray nodes.
GoogleCloudAiplatformV1beta1ReadFeatureValuesRequest
Request message for FeaturestoreOnlineServingService.ReadFeatureValues.
GoogleCloudAiplatformV1beta1ReadFeatureValuesResponse
Response message for FeaturestoreOnlineServingService.ReadFeatureValues.
GoogleCloudAiplatformV1beta1ReadFeatureValuesResponseEntityView
Entity view with Feature values.
GoogleCloudAiplatformV1beta1ReadFeatureValuesResponseEntityViewData
Container to hold value(s), successive in time, for one Feature from the request.
GoogleCloudAiplatformV1beta1ReadFeatureValuesResponseFeatureDescriptor
Metadata for requested Features.
GoogleCloudAiplatformV1beta1ReadFeatureValuesResponseHeader
Response header with metadata for the requested ReadFeatureValuesRequest.entity_type and Features.
GoogleCloudAiplatformV1beta1ReadIndexDatapointsRequest
The request message for MatchService.ReadIndexDatapoints.
GoogleCloudAiplatformV1beta1ReadIndexDatapointsResponse
The response message for MatchService.ReadIndexDatapoints.
GoogleCloudAiplatformV1beta1ReadTensorboardBlobDataResponse
Response message for TensorboardService.ReadTensorboardBlobData.
GoogleCloudAiplatformV1beta1ReadTensorboardSizeResponse
Response message for TensorboardService.ReadTensorboardSize.
GoogleCloudAiplatformV1beta1ReadTensorboardTimeSeriesDataResponse
Response message for TensorboardService.ReadTensorboardTimeSeriesData.
GoogleCloudAiplatformV1beta1ReadTensorboardUsageResponse
Response message for TensorboardService.ReadTensorboardUsage.
GoogleCloudAiplatformV1beta1ReadTensorboardUsageResponsePerMonthUsageData
Per month usage data
GoogleCloudAiplatformV1beta1ReadTensorboardUsageResponsePerUserUsageData
Per user usage data.
GoogleCloudAiplatformV1beta1ReasoningEngine
ReasoningEngine provides a customizable runtime for models to determine which actions to take and in which order.
GoogleCloudAiplatformV1beta1ReasoningEngineSpec
ReasoningEngine configurations
GoogleCloudAiplatformV1beta1ReasoningEngineSpecPackageSpec
User provided package spec like pickled object and package requirements.
GoogleCloudAiplatformV1beta1RebaseTunedModelRequest
Request message for GenAiTuningService.RebaseTunedModel.
GoogleCloudAiplatformV1beta1RebootPersistentResourceOperationMetadata
Details of operations that perform reboot PersistentResource.
GoogleCloudAiplatformV1beta1RebootPersistentResourceRequest
Request message for PersistentResourceService.RebootPersistentResource.
GoogleCloudAiplatformV1beta1RemoveContextChildrenRequest
Request message for MetadataService.DeleteContextChildrenRequest.
GoogleCloudAiplatformV1beta1RemoveContextChildrenResponse
Response message for MetadataService.RemoveContextChildren.
GoogleCloudAiplatformV1beta1RemoveDatapointsRequest
Request message for IndexService.RemoveDatapoints
GoogleCloudAiplatformV1beta1RemoveDatapointsResponse
Response message for IndexService.RemoveDatapoints
GoogleCloudAiplatformV1beta1ReportExecutionEventRequest
Request message for NotebookInternalService.ReportExecutionEvent.
GoogleCloudAiplatformV1beta1ReportExecutionEventResponse
Response message for NotebookInternalService.ReportExecutionEvent.
GoogleCloudAiplatformV1beta1ReportRuntimeEventRequest
Request message for NotebookInternalService.ReportRuntimeEvent.
GoogleCloudAiplatformV1beta1ReportRuntimeEventResponse
Response message for NotebookInternalService.ReportRuntimeEvent.
GoogleCloudAiplatformV1beta1ReservationAffinity
A ReservationAffinity can be used to configure a Vertex AI resource (e.g., a DeployedModel) to draw its Compute Engine resources from a Shared Reservation, or exclusively from on-demand capacity.
GoogleCloudAiplatformV1beta1ResourcePool
Represents the spec of a group of resources of the same type, for example machine type, disk, and accelerators, in a PersistentResource.
GoogleCloudAiplatformV1beta1ResourcePoolAutoscalingSpec
The min/max number of replicas allowed if enabling autoscaling
GoogleCloudAiplatformV1beta1ResourceRuntime
Persistent Cluster runtime information as output
GoogleCloudAiplatformV1beta1ResourceRuntimeSpec
Configuration for the runtime on a PersistentResource instance, including but not limited to: * Service accounts used to run the workloads. * Whether to make it a dedicated Ray Cluster.
GoogleCloudAiplatformV1beta1ResourcesConsumed
Statistics information about resource consumption.
GoogleCloudAiplatformV1beta1RestoreDatasetVersionOperationMetadata
Runtime operation information for DatasetService.RestoreDatasetVersion.
GoogleCloudAiplatformV1beta1ResumeModelDeploymentMonitoringJobRequest
Request message for JobService.ResumeModelDeploymentMonitoringJob.
GoogleCloudAiplatformV1beta1ResumeScheduleRequest
Request message for ScheduleService.ResumeSchedule.
GoogleCloudAiplatformV1beta1Retrieval
Defines a retrieval tool that model can call to access external knowledge.
GoogleCloudAiplatformV1beta1RetrievalMetadata
Metadata related to retrieval in the grounding flow.
GoogleCloudAiplatformV1beta1RetrieveContextsRequest
Request message for VertexRagService.RetrieveContexts.
GoogleCloudAiplatformV1beta1RetrieveContextsRequestVertexRagStore
The data source for Vertex RagStore.
GoogleCloudAiplatformV1beta1RetrieveContextsRequestVertexRagStoreRagResource
The definition of the Rag resource.
GoogleCloudAiplatformV1beta1RetrieveContextsResponse
Response message for VertexRagService.RetrieveContexts.
GoogleCloudAiplatformV1beta1RougeInput
Input for rouge metric.
GoogleCloudAiplatformV1beta1RougeInstance
Spec for rouge instance.
GoogleCloudAiplatformV1beta1RougeMetricValue
Rouge metric value for an instance.
GoogleCloudAiplatformV1beta1RougeResults
Results for rouge metric.
GoogleCloudAiplatformV1beta1RougeSpec
Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1.
GoogleCloudAiplatformV1beta1RuntimeArtifact
The definition of a runtime artifact.
GoogleCloudAiplatformV1beta1RuntimeConfig
Runtime configuration to run the extension.
GoogleCloudAiplatformV1beta1RuntimeConfigCodeInterpreterRuntimeConfig
GoogleCloudAiplatformV1beta1RuntimeConfigVertexAISearchRuntimeConfig
GoogleCloudAiplatformV1beta1SafetyInput
Input for safety metric.
GoogleCloudAiplatformV1beta1SafetyInstance
Spec for safety instance.
GoogleCloudAiplatformV1beta1SafetyRating
Safety rating corresponding to the generated content.
GoogleCloudAiplatformV1beta1SafetyResult
Spec for safety result.
GoogleCloudAiplatformV1beta1SafetySetting
Safety settings.
GoogleCloudAiplatformV1beta1SafetySpec
Spec for safety metric.
GoogleCloudAiplatformV1beta1SampleConfig
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
GoogleCloudAiplatformV1beta1SampledShapleyAttribution
An attribution method that approximates Shapley values for features that contribute to the label being predicted. A sampling strategy is used to approximate the value rather than considering all subsets of features.
GoogleCloudAiplatformV1beta1SamplingStrategy
Sampling Strategy for logging, can be for both training and prediction dataset.
GoogleCloudAiplatformV1beta1SamplingStrategyRandomSampleConfig
Requests are randomly selected.
GoogleCloudAiplatformV1beta1SavedQuery
A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
GoogleCloudAiplatformV1beta1Scalar
One point viewable on a scalar metric plot.
GoogleCloudAiplatformV1beta1Schedule
An instance of a Schedule periodically schedules runs to make API calls based on user specified time specification and API request type.
GoogleCloudAiplatformV1beta1ScheduleConfig
Schedule configuration for the FeatureMonitor.
GoogleCloudAiplatformV1beta1ScheduleRunResponse
Status of a scheduled run.
GoogleCloudAiplatformV1beta1Scheduling
All parameters related to queuing and scheduling of custom jobs.
GoogleCloudAiplatformV1beta1Schema
Schema is used to define the format of input/output data. Represents a select subset of an OpenAPI 3.0 schema object. More fields may be added in the future as needed.
GoogleCloudAiplatformV1beta1SchemaAnnotationSpecColor
An entry of mapping between color and AnnotationSpec. The mapping is used in segmentation mask.
GoogleCloudAiplatformV1beta1SchemaImageBoundingBoxAnnotation
Annotation details specific to image object detection.
GoogleCloudAiplatformV1beta1SchemaImageClassificationAnnotation
Annotation details specific to image classification.
GoogleCloudAiplatformV1beta1SchemaImageDataItem
Payload of Image DataItem.
GoogleCloudAiplatformV1beta1SchemaImageDatasetMetadata
The metadata of Datasets that contain Image DataItems.
GoogleCloudAiplatformV1beta1SchemaImageSegmentationAnnotation
Annotation details specific to image segmentation.
GoogleCloudAiplatformV1beta1SchemaImageSegmentationAnnotationMaskAnnotation
The mask based segmentation annotation.
GoogleCloudAiplatformV1beta1SchemaImageSegmentationAnnotationPolygonAnnotation
Represents a polygon in image.
GoogleCloudAiplatformV1beta1SchemaImageSegmentationAnnotationPolylineAnnotation
Represents a polyline in image.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsBoundingBoxMetrics
Bounding box matching model metrics for a single intersection-over-union threshold and multiple label match confidence thresholds.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsBoundingBoxMetricsConfidenceMetrics
Metrics for a single confidence threshold.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsClassificationEvaluationMetrics
Metrics for classification evaluation results.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsClassificationEvaluationMetricsConfidenceMetrics
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsConfusionMatrix
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsConfusionMatrixAnnotationSpecRef
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsForecastingEvaluationMetrics
Metrics for forecasting evaluation results.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry
Entry for the Quantiles loss type optimization objective.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsGeneralTextGenerationEvaluationMetrics
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsImageObjectDetectionEvaluationMetrics
Metrics for image object detection evaluation results.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsImageSegmentationEvaluationMetrics
Metrics for image segmentation evaluation results.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsImageSegmentationEvaluationMetricsConfidenceMetricsEntry
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsPairwiseTextGenerationEvaluationMetrics
Metrics for general pairwise text generation evaluation results.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsQuestionAnsweringEvaluationMetrics
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsRegressionEvaluationMetrics
Metrics for regression evaluation results.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsSummarizationEvaluationMetrics
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsTextExtractionEvaluationMetrics
Metrics for text extraction evaluation results.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsTextExtractionEvaluationMetricsConfidenceMetrics
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsTextSentimentEvaluationMetrics
Model evaluation metrics for text sentiment problems.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsTrackMetrics
UNIMPLEMENTED. Track matching model metrics for a single track match threshold and multiple label match confidence thresholds.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsTrackMetricsConfidenceMetrics
Metrics for a single confidence threshold.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionMetrics
The Evaluation metrics given a specific precision_window_length.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionMetricsConfidenceMetrics
Metrics for a single confidence threshold.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionRecognitionMetrics
Model evaluation metrics for video action recognition.
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoObjectTrackingMetrics
Model evaluation metrics for video object tracking problems. Evaluates prediction quality of both labeled bounding boxes and labeled tracks (i.e. series of bounding boxes sharing same label and instance ID).
GoogleCloudAiplatformV1beta1SchemaPredictInstanceImageClassificationPredictionInstance
Prediction input format for Image Classification.
GoogleCloudAiplatformV1beta1SchemaPredictInstanceImageObjectDetectionPredictionInstance
Prediction input format for Image Object Detection.
GoogleCloudAiplatformV1beta1SchemaPredictInstanceImageSegmentationPredictionInstance
Prediction input format for Image Segmentation.
GoogleCloudAiplatformV1beta1SchemaPredictInstanceTextClassificationPredictionInstance
Prediction input format for Text Classification.
GoogleCloudAiplatformV1beta1SchemaPredictInstanceTextExtractionPredictionInstance
Prediction input format for Text Extraction.
GoogleCloudAiplatformV1beta1SchemaPredictInstanceTextSentimentPredictionInstance
Prediction input format for Text Sentiment.
GoogleCloudAiplatformV1beta1SchemaPredictInstanceVideoActionRecognitionPredictionInstance
Prediction input format for Video Action Recognition.
GoogleCloudAiplatformV1beta1SchemaPredictInstanceVideoClassificationPredictionInstance
Prediction input format for Video Classification.
GoogleCloudAiplatformV1beta1SchemaPredictInstanceVideoObjectTrackingPredictionInstance
Prediction input format for Video Object Tracking.
GoogleCloudAiplatformV1beta1SchemaPredictParamsGroundingConfig
The configuration for grounding checking.
GoogleCloudAiplatformV1beta1SchemaPredictParamsGroundingConfigSourceEntry
Single source entry for the grounding checking.
GoogleCloudAiplatformV1beta1SchemaPredictParamsImageClassificationPredictionParams
Prediction model parameters for Image Classification.
GoogleCloudAiplatformV1beta1SchemaPredictParamsImageObjectDetectionPredictionParams
Prediction model parameters for Image Object Detection.
GoogleCloudAiplatformV1beta1SchemaPredictParamsImageSegmentationPredictionParams
Prediction model parameters for Image Segmentation.
GoogleCloudAiplatformV1beta1SchemaPredictParamsVideoActionRecognitionPredictionParams
Prediction model parameters for Video Action Recognition.
GoogleCloudAiplatformV1beta1SchemaPredictParamsVideoClassificationPredictionParams
Prediction model parameters for Video Classification.
GoogleCloudAiplatformV1beta1SchemaPredictParamsVideoObjectTrackingPredictionParams
Prediction model parameters for Video Object Tracking.
GoogleCloudAiplatformV1beta1SchemaPredictPredictionClassificationPredictionResult
Prediction output format for Image and Text Classification.
GoogleCloudAiplatformV1beta1SchemaPredictPredictionImageObjectDetectionPredictionResult
Prediction output format for Image Object Detection.
GoogleCloudAiplatformV1beta1SchemaPredictPredictionImageSegmentationPredictionResult
Prediction output format for Image Segmentation.
GoogleCloudAiplatformV1beta1SchemaPredictPredictionTabularClassificationPredictionResult
Prediction output format for Tabular Classification.
GoogleCloudAiplatformV1beta1SchemaPredictPredictionTabularRegressionPredictionResult
Prediction output format for Tabular Regression.
GoogleCloudAiplatformV1beta1SchemaPredictPredictionTextExtractionPredictionResult
Prediction output format for Text Extraction.
GoogleCloudAiplatformV1beta1SchemaPredictPredictionTextSentimentPredictionResult
Prediction output format for Text Sentiment
GoogleCloudAiplatformV1beta1SchemaPredictPredictionTftFeatureImportance
GoogleCloudAiplatformV1beta1SchemaPredictPredictionTimeSeriesForecastingPredictionResult
Prediction output format for Time Series Forecasting.
GoogleCloudAiplatformV1beta1SchemaPredictPredictionVideoActionRecognitionPredictionResult
Prediction output format for Video Action Recognition.
GoogleCloudAiplatformV1beta1SchemaPredictPredictionVideoClassificationPredictionResult
Prediction output format for Video Classification.
GoogleCloudAiplatformV1beta1SchemaPredictPredictionVideoObjectTrackingPredictionResult
Prediction output format for Video Object Tracking.
GoogleCloudAiplatformV1beta1SchemaPredictPredictionVideoObjectTrackingPredictionResultFrame
The fields xMin
, xMax
, yMin
, and yMax
refer to a bounding box, i.e. the rectangle over the video frame
pinpointing the found AnnotationSpec. The coordinates are relative to the frame size, and the point 0,0 is in
the top left of the frame.
GoogleCloudAiplatformV1beta1SchemaPredictionResult
Represents a line of JSONL in the batch prediction output file.
GoogleCloudAiplatformV1beta1SchemaPredictionResultError
GoogleCloudAiplatformV1beta1SchemaPromptApiSchema
The A2 schema of a prompt.
GoogleCloudAiplatformV1beta1SchemaPromptInstancePromptExecution
A prompt instance's parameters set that contains a set of variable values.
GoogleCloudAiplatformV1beta1SchemaPromptInstanceVariableValue
The value of a variable in prompt.
GoogleCloudAiplatformV1beta1SchemaPromptSpecMultimodalPrompt
Prompt variation that embeds preambles to prompt string.
GoogleCloudAiplatformV1beta1SchemaPromptSpecPartList
A list of elements and information that make up a portion of prompt.
GoogleCloudAiplatformV1beta1SchemaPromptSpecPromptMessage
The prompt message that aligns with the prompt message in google.cloud.aiplatform.master.GenerateContentRequest.
GoogleCloudAiplatformV1beta1SchemaPromptSpecReferenceSentencePair
A pair of sentences used as reference in source and target languages.
GoogleCloudAiplatformV1beta1SchemaPromptSpecReferenceSentencePairList
A list of reference sentence pairs.
GoogleCloudAiplatformV1beta1SchemaPromptSpecStructuredPrompt
Prompt variation that stores preambles in separate fields.
GoogleCloudAiplatformV1beta1SchemaPromptSpecTranslationExample
The translation example that contains reference sentences from various sources.
GoogleCloudAiplatformV1beta1SchemaPromptSpecTranslationFileInputSource
GoogleCloudAiplatformV1beta1SchemaPromptSpecTranslationGcsInputSource
GoogleCloudAiplatformV1beta1SchemaPromptSpecTranslationOption
Optional settings for translation prompt.
GoogleCloudAiplatformV1beta1SchemaPromptSpecTranslationPrompt
Prompt variation for Translation use case.
GoogleCloudAiplatformV1beta1SchemaPromptSpecTranslationSentenceFileInput
GoogleCloudAiplatformV1beta1SchemaTablesDatasetMetadata
The metadata of Datasets that contain tables data.
GoogleCloudAiplatformV1beta1SchemaTablesDatasetMetadataBigQuerySource
GoogleCloudAiplatformV1beta1SchemaTablesDatasetMetadataGcsSource
GoogleCloudAiplatformV1beta1SchemaTablesDatasetMetadataInputConfig
The tables Dataset's data source. The Dataset doesn't store the data directly, but only pointer(s) to its data.
GoogleCloudAiplatformV1beta1SchemaTextClassificationAnnotation
Annotation details specific to text classification.
GoogleCloudAiplatformV1beta1SchemaTextDataItem
Payload of Text DataItem.
GoogleCloudAiplatformV1beta1SchemaTextDatasetMetadata
The metadata of Datasets that contain Text DataItems.
GoogleCloudAiplatformV1beta1SchemaTextExtractionAnnotation
Annotation details specific to text extraction.
GoogleCloudAiplatformV1beta1SchemaTextPromptDatasetMetadata
The metadata of Datasets that contain Text Prompt data.
GoogleCloudAiplatformV1beta1SchemaTextSegment
The text segment inside of DataItem.
GoogleCloudAiplatformV1beta1SchemaTextSentimentAnnotation
Annotation details specific to text sentiment.
GoogleCloudAiplatformV1beta1SchemaTextSentimentSavedQueryMetadata
The metadata of SavedQuery contains TextSentiment Annotations.
GoogleCloudAiplatformV1beta1SchemaTimeSegment
A time period inside of a DataItem that has a time dimension (e.g. video).
GoogleCloudAiplatformV1beta1SchemaTimeSeriesDatasetMetadata
The metadata of Datasets that contain time series data.
GoogleCloudAiplatformV1beta1SchemaTimeSeriesDatasetMetadataBigQuerySource
GoogleCloudAiplatformV1beta1SchemaTimeSeriesDatasetMetadataGcsSource
GoogleCloudAiplatformV1beta1SchemaTimeSeriesDatasetMetadataInputConfig
The time series Dataset's data source. The Dataset doesn't store the data directly, but only pointer(s) to its data.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlForecasting
A TrainingJob that trains and uploads an AutoML Forecasting Model.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlForecastingInputs
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlForecastingInputsGranularity
A duration of time expressed in time granularity units.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlForecastingInputsTransformation
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlForecastingInputsTransformationAutoTransformation
Training pipeline will infer the proper transformation based on the statistic of dataset.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlForecastingInputsTransformationCategoricalTransformation
Training pipeline will perform following transformation functions. * The categorical string as is--no change to case, punctuation, spelling, tense, and so on. * Convert the category name to a dictionary lookup index and generate an embedding for each index. * Categories that appear less than 5 times in the training dataset are treated as the "unknown" category. The "unknown" category gets its own special lookup index and resulting embedding.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlForecastingInputsTransformationNumericTransformation
Training pipeline will perform following transformation functions. * The value converted to float32. * The z_score of the value. * log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value. * z_score of log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value. * A boolean value that indicates whether the value is valid.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlForecastingInputsTransformationTextTransformation
Training pipeline will perform following transformation functions. * The text as is--no change to case, punctuation, spelling, tense, and so on. * Convert the category name to a dictionary lookup index and generate an embedding for each index.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlForecastingInputsTransformationTimestampTransformation
Training pipeline will perform following transformation functions. * Apply the transformation functions for Numerical columns. * Determine the year, month, day,and weekday. Treat each value from the timestamp as a Categorical column. * Invalid numerical values (for example, values that fall outside of a typical timestamp range, or are extreme values) receive no special treatment and are not removed.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlForecastingMetadata
Model metadata specific to AutoML Forecasting.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlImageClassification
A TrainingJob that trains and uploads an AutoML Image Classification Model.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlImageClassificationInputs
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlImageClassificationMetadata
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlImageObjectDetection
A TrainingJob that trains and uploads an AutoML Image Object Detection Model.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlImageObjectDetectionInputs
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlImageObjectDetectionMetadata
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlImageSegmentation
A TrainingJob that trains and uploads an AutoML Image Segmentation Model.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlImageSegmentationMetadata
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTables
A TrainingJob that trains and uploads an AutoML Tables Model.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputs
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformation
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationAutoTransformation
Training pipeline will infer the proper transformation based on the statistic of dataset.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationCategoricalArrayTransformation
Treats the column as categorical array and performs following transformation functions. * For each element in the array, convert the category name to a dictionary lookup index and generate an embedding for each index. Combine the embedding of all elements into a single embedding using the mean. * Empty arrays treated as an embedding of zeroes.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationCategoricalTransformation
Training pipeline will perform following transformation functions. * The categorical string as is--no change to case, punctuation, spelling, tense, and so on. * Convert the category name to a dictionary lookup index and generate an embedding for each index. * Categories that appear less than 5 times in the training dataset are treated as the "unknown" category. The "unknown" category gets its own special lookup index and resulting embedding.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationNumericArrayTransformation
Treats the column as numerical array and performs following transformation functions. * All transformations for Numerical types applied to the average of the all elements. * The average of empty arrays is treated as zero.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationNumericTransformation
Training pipeline will perform following transformation functions. * The value converted to float32. * The z_score of the value. * log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value. * z_score of log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value. * A boolean value that indicates whether the value is valid.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTextArrayTransformation
Treats the column as text array and performs following transformation functions. * Concatenate all text values in the array into a single text value using a space (" ") as a delimiter, and then treat the result as a single text value. Apply the transformations for Text columns. * Empty arrays treated as an empty text.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTextTransformation
Training pipeline will perform following transformation functions. * The text as is--no change to case, punctuation, spelling, tense, and so on. * Tokenize text to words. Convert each words to a dictionary lookup index and generate an embedding for each index. Combine the embedding of all elements into a single embedding using the mean. * Tokenization is based on unicode script boundaries. * Missing values get their own lookup index and resulting embedding. * Stop-words receive no special treatment and are not removed.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTimestampTransformation
Training pipeline will perform following transformation functions. * Apply the transformation functions for Numerical columns. * Determine the year, month, day,and weekday. Treat each value from the * timestamp as a Categorical column. * Invalid numerical values (for example, values that fall outside of a typical timestamp range, or are extreme values) receive no special treatment and are not removed.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTablesMetadata
Model metadata specific to AutoML Tables.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTextClassification
A TrainingJob that trains and uploads an AutoML Text Classification Model.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTextClassificationInputs
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTextExtraction
A TrainingJob that trains and uploads an AutoML Text Extraction Model.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTextExtractionInputs
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTextSentiment
A TrainingJob that trains and uploads an AutoML Text Sentiment Model.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlTextSentimentInputs
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlVideoActionRecognition
A TrainingJob that trains and uploads an AutoML Video Action Recognition Model.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlVideoActionRecognitionInputs
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlVideoClassification
A TrainingJob that trains and uploads an AutoML Video Classification Model.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlVideoClassificationInputs
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlVideoObjectTracking
A TrainingJob that trains and uploads an AutoML Video ObjectTracking Model.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutoMlVideoObjectTrackingInputs
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionAutomlImageTrainingTunableParameter
A wrapper class which contains the tunable parameters in an AutoML Image training job.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionCustomJobMetadata
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionCustomTask
A TrainingJob that trains a custom code Model.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionExportEvaluatedDataItemsConfig
Configuration for exporting test set predictions to a BigQuery table.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionHierarchyConfig
Configuration that defines the hierarchical relationship of time series and parameters for hierarchical forecasting strategies.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionHyperparameterTuningJobMetadata
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionHyperparameterTuningJobSpec
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionHyperparameterTuningTask
A TrainingJob that tunes Hypererparameters of a custom code Model.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionSeq2SeqPlusForecasting
A TrainingJob that trains and uploads an AutoML Forecasting Model.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputs
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsGranularity
A duration of time expressed in time granularity units.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsTransformation
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsTransformationAutoTransformation
Training pipeline will infer the proper transformation based on the statistic of dataset.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsTransformationCategoricalTransformation
Training pipeline will perform following transformation functions. * The categorical string as is--no change to case, punctuation, spelling, tense, and so on. * Convert the category name to a dictionary lookup index and generate an embedding for each index. * Categories that appear less than 5 times in the training dataset are treated as the "unknown" category. The "unknown" category gets its own special lookup index and resulting embedding.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsTransformationNumericTransformation
Training pipeline will perform following transformation functions. * The value converted to float32. * The z_score of the value. * log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value. * z_score of log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsTransformationTextTransformation
Training pipeline will perform following transformation functions. * The text as is--no change to case, punctuation, spelling, tense, and so on. * Convert the category name to a dictionary lookup index and generate an embedding for each index.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsTransformationTimestampTransformation
Training pipeline will perform following transformation functions. * Apply the transformation functions for Numerical columns. * Determine the year, month, day,and weekday. Treat each value from the timestamp as a Categorical column. * Invalid numerical values (for example, values that fall outside of a typical timestamp range, or are extreme values) receive no special treatment and are not removed.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingMetadata
Model metadata specific to Seq2Seq Plus Forecasting.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecasting
A TrainingJob that trains and uploads an AutoML Forecasting Model.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputs
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsGranularity
A duration of time expressed in time granularity units.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsTransformation
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsTransformationAutoTransformation
Training pipeline will infer the proper transformation based on the statistic of dataset.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsTransformationCategoricalTransformation
Training pipeline will perform following transformation functions. * The categorical string as is--no change to case, punctuation, spelling, tense, and so on. * Convert the category name to a dictionary lookup index and generate an embedding for each index. * Categories that appear less than 5 times in the training dataset are treated as the "unknown" category. The "unknown" category gets its own special lookup index and resulting embedding.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsTransformationNumericTransformation
Training pipeline will perform following transformation functions. * The value converted to float32. * The z_score of the value. * log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value. * z_score of log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsTransformationTextTransformation
Training pipeline will perform following transformation functions. * The text as is--no change to case, punctuation, spelling, tense, and so on. * Convert the category name to a dictionary lookup index and generate an embedding for each index.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsTransformationTimestampTransformation
Training pipeline will perform following transformation functions. * Apply the transformation functions for Numerical columns. * Determine the year, month, day,and weekday. Treat each value from the timestamp as a Categorical column. * Invalid numerical values (for example, values that fall outside of a typical timestamp range, or are extreme values) receive no special treatment and are not removed.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingMetadata
Model metadata specific to TFT Forecasting.
GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionWindowConfig
Config that contains the strategy used to generate sliding windows in time series training. A window is a series of rows that comprise the context up to the time of prediction, and the horizon following. The corresponding row for each window marks the start of the forecast horizon. Each window is used as an input example for training/evaluation.
GoogleCloudAiplatformV1beta1SchemaVertex
A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.
GoogleCloudAiplatformV1beta1SchemaVideoActionRecognitionAnnotation
Annotation details specific to video action recognition.
GoogleCloudAiplatformV1beta1SchemaVideoClassificationAnnotation
Annotation details specific to video classification.
GoogleCloudAiplatformV1beta1SchemaVideoDataItem
Payload of Video DataItem.
GoogleCloudAiplatformV1beta1SchemaVideoDatasetMetadata
The metadata of Datasets that contain Video DataItems.
GoogleCloudAiplatformV1beta1SchemaVideoObjectTrackingAnnotation
Annotation details specific to video object tracking.
GoogleCloudAiplatformV1beta1SchemaVisualInspectionClassificationLabelSavedQueryMetadata
GoogleCloudAiplatformV1beta1SchemaVisualInspectionMaskSavedQueryMetadata
GoogleCloudAiplatformV1beta1SearchDataItemsResponse
Response message for DatasetService.SearchDataItems.
GoogleCloudAiplatformV1beta1SearchEntryPoint
Google search entry point.
GoogleCloudAiplatformV1beta1SearchFeaturesResponse
Response message for FeaturestoreService.SearchFeatures.
GoogleCloudAiplatformV1beta1SearchMigratableResourcesRequest
Request message for MigrationService.SearchMigratableResources.
GoogleCloudAiplatformV1beta1SearchMigratableResourcesResponse
Response message for MigrationService.SearchMigratableResources.
GoogleCloudAiplatformV1beta1SearchModelDeploymentMonitoringStatsAnomaliesRequest
Request message for JobService.SearchModelDeploymentMonitoringStatsAnomalies.
GoogleCloudAiplatformV1beta1SearchModelDeploymentMonitoringStatsAnomaliesRequestStatsAnomaliesObjective
Stats requested for specific objective.
GoogleCloudAiplatformV1beta1SearchModelDeploymentMonitoringStatsAnomaliesResponse
Response message for JobService.SearchModelDeploymentMonitoringStatsAnomalies.
GoogleCloudAiplatformV1beta1SearchModelMonitoringAlertsRequest
Request message for ModelMonitoringService.SearchModelMonitoringAlerts.
GoogleCloudAiplatformV1beta1SearchModelMonitoringAlertsResponse
Response message for ModelMonitoringService.SearchModelMonitoringAlerts.
GoogleCloudAiplatformV1beta1SearchModelMonitoringStatsFilter
Filter for searching ModelMonitoringStats.
GoogleCloudAiplatformV1beta1SearchModelMonitoringStatsFilterTabularStatsFilter
Tabular statistics filter.
GoogleCloudAiplatformV1beta1SearchModelMonitoringStatsRequest
Request message for ModelMonitoringService.SearchModelMonitoringStats.
GoogleCloudAiplatformV1beta1SearchModelMonitoringStatsResponse
Response message for ModelMonitoringService.SearchModelMonitoringStats.
GoogleCloudAiplatformV1beta1SearchNearestEntitiesRequest
The request message for FeatureOnlineStoreService.SearchNearestEntities.
GoogleCloudAiplatformV1beta1SearchNearestEntitiesResponse
Response message for FeatureOnlineStoreService.SearchNearestEntities
GoogleCloudAiplatformV1beta1Segment
Segment of the content.
GoogleCloudAiplatformV1beta1ServiceAccountSpec
Configuration for the use of custom service account to run the workloads.
GoogleCloudAiplatformV1beta1SharePointSources
The SharePointSources to pass to ImportRagFiles.
GoogleCloudAiplatformV1beta1SharePointSourcesSharePointSource
An individual SharePointSource.
GoogleCloudAiplatformV1beta1ShieldedVmConfig
A set of Shielded Instance options. See Images using supported Shielded VM features.
GoogleCloudAiplatformV1beta1SlackSource
The Slack source for the ImportRagFilesRequest.
GoogleCloudAiplatformV1beta1SlackSourceSlackChannels
SlackChannels contains the Slack channels and corresponding access token.
GoogleCloudAiplatformV1beta1SlackSourceSlackChannelsSlackChannel
SlackChannel contains the Slack channel ID and the time range to import.
GoogleCloudAiplatformV1beta1SmoothGradConfig
Config for SmoothGrad approximation of gradients. When enabled, the gradients are approximated by averaging the gradients from noisy samples in the vicinity of the inputs. Adding noise can help improve the computed gradients. Refer to this paper for more details: https://arxiv.org/pdf/1706.03825.pdf
GoogleCloudAiplatformV1beta1SpecialistPool
SpecialistPool represents customers' own workforce to work on their data labeling jobs. It includes a group of specialist managers and workers. Managers are responsible for managing the workers in this pool as well as customers' data labeling jobs associated with this pool. Customers create specialist pool as well as start data labeling jobs on Cloud, managers and workers handle the jobs using CrowdCompute console.
GoogleCloudAiplatformV1beta1StartNotebookRuntimeOperationMetadata
Metadata information for NotebookService.StartNotebookRuntime.
GoogleCloudAiplatformV1beta1StartNotebookRuntimeRequest
Request message for NotebookService.StartNotebookRuntime.
GoogleCloudAiplatformV1beta1StopNotebookRuntimeRequest
Request message for NotebookService.StopNotebookRuntime.
GoogleCloudAiplatformV1beta1StopTrialRequest
Request message for VizierService.StopTrial.
GoogleCloudAiplatformV1beta1StratifiedSplit
Assigns input data to the training, validation, and test sets so that the distribution of values found in the
categorical column (as specified by the key
field) is mirrored within each split. The fraction values
determine the relative sizes of the splits. For example, if the specified column has three values, with 50% of
the rows having value "A", 25% value "B", and 25% value "C", and the split fractions are specified as 80/10/10,
then the training set will constitute 80% of the training data, with about 50% of the training set rows having
the value "A" for the specified column, about 25% having the value "B", and about 25% having the value "C". Only
the top 500 occurring values are used; any values not in the top 500 values are randomly assigned to a split. If
less than three rows contain a specific value, those rows are randomly assigned. Supported only for tabular
Datasets.
GoogleCloudAiplatformV1beta1StreamRawPredictRequest
Request message for PredictionService.StreamRawPredict.
GoogleCloudAiplatformV1beta1StreamingFetchFeatureValuesRequest
Request message for FeatureOnlineStoreService.StreamingFetchFeatureValues. For the entities requested, all features under the requested feature view will be returned.
GoogleCloudAiplatformV1beta1StreamingFetchFeatureValuesResponse
Response message for FeatureOnlineStoreService.StreamingFetchFeatureValues.
GoogleCloudAiplatformV1beta1StreamingPredictRequest
Request message for PredictionService.StreamingPredict. The first message must contain endpoint field and optionally input. The subsequent messages must contain input.
GoogleCloudAiplatformV1beta1StreamingPredictResponse
Response message for PredictionService.StreamingPredict.
GoogleCloudAiplatformV1beta1StreamingReadFeatureValuesRequest
Request message for FeaturestoreOnlineServingService.StreamingReadFeatureValues.
GoogleCloudAiplatformV1beta1StringArray
A list of string values.
GoogleCloudAiplatformV1beta1StructFieldValue
One field of a Struct (or object) type feature value.
GoogleCloudAiplatformV1beta1StructValue
Struct (or object) type feature value.
GoogleCloudAiplatformV1beta1Study
A message representing a Study.
GoogleCloudAiplatformV1beta1StudySpec
Represents specification of a Study.
GoogleCloudAiplatformV1beta1StudySpecConvexAutomatedStoppingSpec
Configuration for ConvexAutomatedStoppingSpec. When there are enough completed trials (configured by min_measurement_count), for pending trials with enough measurements and steps, the policy first computes an overestimate of the objective value at max_num_steps according to the slope of the incomplete objective value curve. No prediction can be made if the curve is completely flat. If the overestimation is worse than the best objective value of the completed trials, this pending trial will be early-stopped, but a last measurement will be added to the pending trial with max_num_steps and predicted objective value from the autoregression model.
GoogleCloudAiplatformV1beta1StudySpecConvexStopConfig
Configuration for ConvexStopPolicy.
GoogleCloudAiplatformV1beta1StudySpecDecayCurveAutomatedStoppingSpec
The decay curve automated stopping rule builds a Gaussian Process Regressor to predict the final objective value of a Trial based on the already completed Trials and the intermediate measurements of the current Trial. Early stopping is requested for the current Trial if there is very low probability to exceed the optimal value found so far.
GoogleCloudAiplatformV1beta1StudySpecMedianAutomatedStoppingSpec
The median automated stopping rule stops a pending Trial if the Trial's best objective_value is strictly below the median 'performance' of all completed Trials reported up to the Trial's last measurement. Currently, 'performance' refers to the running average of the objective values reported by the Trial in each measurement.
GoogleCloudAiplatformV1beta1StudySpecMetricSpec
Represents a metric to optimize.
GoogleCloudAiplatformV1beta1StudySpecMetricSpecSafetyMetricConfig
Used in safe optimization to specify threshold levels and risk tolerance.
GoogleCloudAiplatformV1beta1StudySpecParameterSpec
Represents a single parameter to optimize.
GoogleCloudAiplatformV1beta1StudySpecParameterSpecCategoricalValueSpec
Value specification for a parameter in CATEGORICAL
type.
GoogleCloudAiplatformV1beta1StudySpecParameterSpecConditionalParameterSpec
Represents a parameter spec with condition from its parent parameter.
GoogleCloudAiplatformV1beta1StudySpecParameterSpecConditionalParameterSpecCategoricalValueCondition
Represents the spec to match categorical values from parent parameter.
GoogleCloudAiplatformV1beta1StudySpecParameterSpecConditionalParameterSpecDiscreteValueCondition
Represents the spec to match discrete values from parent parameter.
GoogleCloudAiplatformV1beta1StudySpecParameterSpecConditionalParameterSpecIntValueCondition
Represents the spec to match integer values from parent parameter.
GoogleCloudAiplatformV1beta1StudySpecParameterSpecDiscreteValueSpec
Value specification for a parameter in DISCRETE
type.
GoogleCloudAiplatformV1beta1StudySpecParameterSpecDoubleValueSpec
Value specification for a parameter in DOUBLE
type.
GoogleCloudAiplatformV1beta1StudySpecParameterSpecIntegerValueSpec
Value specification for a parameter in INTEGER
type.
GoogleCloudAiplatformV1beta1StudySpecStudyStoppingConfig
The configuration (stopping conditions) for automated stopping of a Study. Conditions include trial budgets, time budgets, and convergence detection.
GoogleCloudAiplatformV1beta1StudySpecTransferLearningConfig
This contains flag for manually disabling transfer learning for a study. The names of prior studies being used for transfer learning (if any) are also listed here.
GoogleCloudAiplatformV1beta1StudyTimeConstraint
Time-based Constraint for Study
GoogleCloudAiplatformV1beta1SuggestTrialsMetadata
Details of operations that perform Trials suggestion.
GoogleCloudAiplatformV1beta1SuggestTrialsRequest
Request message for VizierService.SuggestTrials.
GoogleCloudAiplatformV1beta1SuggestTrialsResponse
Response message for VizierService.SuggestTrials.
GoogleCloudAiplatformV1beta1SummarizationHelpfulnessInput
Input for summarization helpfulness metric.
GoogleCloudAiplatformV1beta1SummarizationHelpfulnessInstance
Spec for summarization helpfulness instance.
GoogleCloudAiplatformV1beta1SummarizationHelpfulnessResult
Spec for summarization helpfulness result.
GoogleCloudAiplatformV1beta1SummarizationHelpfulnessSpec
Spec for summarization helpfulness score metric.
GoogleCloudAiplatformV1beta1SummarizationQualityInput
Input for summarization quality metric.
GoogleCloudAiplatformV1beta1SummarizationQualityInstance
Spec for summarization quality instance.
GoogleCloudAiplatformV1beta1SummarizationQualityResult
Spec for summarization quality result.
GoogleCloudAiplatformV1beta1SummarizationQualitySpec
Spec for summarization quality score metric.
GoogleCloudAiplatformV1beta1SummarizationVerbosityInput
Input for summarization verbosity metric.
GoogleCloudAiplatformV1beta1SummarizationVerbosityInstance
Spec for summarization verbosity instance.
GoogleCloudAiplatformV1beta1SummarizationVerbosityResult
Spec for summarization verbosity result.
GoogleCloudAiplatformV1beta1SummarizationVerbositySpec
Spec for summarization verbosity score metric.
GoogleCloudAiplatformV1beta1SupervisedHyperParameters
Hyperparameters for SFT.
GoogleCloudAiplatformV1beta1SupervisedTuningDataStats
Tuning data statistics for Supervised Tuning.
GoogleCloudAiplatformV1beta1SupervisedTuningDatasetDistribution
Dataset distribution for Supervised Tuning.
GoogleCloudAiplatformV1beta1SupervisedTuningDatasetDistributionDatasetBucket
Dataset bucket used to create a histogram for the distribution given a population of values.
GoogleCloudAiplatformV1beta1SupervisedTuningSpec
Tuning Spec for Supervised Tuning for first party models.
GoogleCloudAiplatformV1beta1SyncFeatureViewRequest
Request message for FeatureOnlineStoreAdminService.SyncFeatureView.
GoogleCloudAiplatformV1beta1SyncFeatureViewResponse
Response message for FeatureOnlineStoreAdminService.SyncFeatureView.
GoogleCloudAiplatformV1beta1TFRecordDestination
The storage details for TFRecord output content.
GoogleCloudAiplatformV1beta1Tensor
A tensor value type.
GoogleCloudAiplatformV1beta1Tensorboard
Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a Google Cloud project. If needed users can also create extra Tensorboards in their projects.
GoogleCloudAiplatformV1beta1TensorboardBlob
One blob (e.g, image, graph) viewable on a blob metric plot.
GoogleCloudAiplatformV1beta1TensorboardBlobSequence
One point viewable on a blob metric plot, but mostly just a wrapper message to work around repeated fields can't
be used directly within oneof
fields.
GoogleCloudAiplatformV1beta1TensorboardExperiment
A TensorboardExperiment is a group of TensorboardRuns, that are typically the results of a training job run, in a Tensorboard.
GoogleCloudAiplatformV1beta1TensorboardRun
TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etc
GoogleCloudAiplatformV1beta1TensorboardTensor
One point viewable on a tensor metric plot.
GoogleCloudAiplatformV1beta1TensorboardTimeSeries
TensorboardTimeSeries maps to times series produced in training runs
GoogleCloudAiplatformV1beta1TensorboardTimeSeriesMetadata
Describes metadata for a TensorboardTimeSeries.
GoogleCloudAiplatformV1beta1ThresholdConfig
The config for feature monitoring threshold.
GoogleCloudAiplatformV1beta1TimeSeriesData
All the data stored in a TensorboardTimeSeries.
GoogleCloudAiplatformV1beta1TimeSeriesDataPoint
A TensorboardTimeSeries data point.
GoogleCloudAiplatformV1beta1TimestampSplit
Assigns input data to training, validation, and test sets based on a provided timestamps. The youngest data pieces are assigned to training set, next to validation set, and the oldest to the test set. Supported only for tabular Datasets.
GoogleCloudAiplatformV1beta1TokensInfo
Tokens info with a list of tokens and the corresponding list of token ids.
GoogleCloudAiplatformV1beta1Tool
Tool details that the model may use to generate response. A Tool
is a piece of code that enables the system to
interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the
model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or
GoogleSearchRetrieval).
GoogleCloudAiplatformV1beta1ToolCallValidInput
Input for tool call valid metric.
GoogleCloudAiplatformV1beta1ToolCallValidInstance
Spec for tool call valid instance.
GoogleCloudAiplatformV1beta1ToolCallValidMetricValue
Tool call valid metric value for an instance.
GoogleCloudAiplatformV1beta1ToolCallValidResults
Results for tool call valid metric.
GoogleCloudAiplatformV1beta1ToolCallValidSpec
Spec for tool call valid metric.
GoogleCloudAiplatformV1beta1ToolCodeExecution
Tool that executes code generated by the model, and automatically returns the result to the model. See also [ExecutableCode]and [CodeExecutionResult] which are input and output to this tool.
GoogleCloudAiplatformV1beta1ToolConfig
Tool config. This config is shared for all tools provided in the request.
GoogleCloudAiplatformV1beta1ToolNameMatchInput
Input for tool name match metric.
GoogleCloudAiplatformV1beta1ToolNameMatchInstance
Spec for tool name match instance.
GoogleCloudAiplatformV1beta1ToolNameMatchMetricValue
Tool name match metric value for an instance.
GoogleCloudAiplatformV1beta1ToolNameMatchResults
Results for tool name match metric.
GoogleCloudAiplatformV1beta1ToolNameMatchSpec
Spec for tool name match metric.
GoogleCloudAiplatformV1beta1ToolParameterKVMatchInput
Input for tool parameter key value match metric.
GoogleCloudAiplatformV1beta1ToolParameterKVMatchInstance
Spec for tool parameter key value match instance.
GoogleCloudAiplatformV1beta1ToolParameterKVMatchMetricValue
Tool parameter key value match metric value for an instance.
GoogleCloudAiplatformV1beta1ToolParameterKVMatchResults
Results for tool parameter key value match metric.
GoogleCloudAiplatformV1beta1ToolParameterKVMatchSpec
Spec for tool parameter key value match metric.
GoogleCloudAiplatformV1beta1ToolParameterKeyMatchInput
Input for tool parameter key match metric.
GoogleCloudAiplatformV1beta1ToolParameterKeyMatchInstance
Spec for tool parameter key match instance.
GoogleCloudAiplatformV1beta1ToolParameterKeyMatchMetricValue
Tool parameter key match metric value for an instance.
GoogleCloudAiplatformV1beta1ToolParameterKeyMatchResults
Results for tool parameter key match metric.
GoogleCloudAiplatformV1beta1ToolParameterKeyMatchSpec
Spec for tool parameter key match metric.
GoogleCloudAiplatformV1beta1ToolUseExample
A single example of the tool usage.
GoogleCloudAiplatformV1beta1ToolUseExampleExtensionOperation
Identifies one operation of the extension.
GoogleCloudAiplatformV1beta1TrainingConfig
CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.
GoogleCloudAiplatformV1beta1TrainingPipeline
The TrainingPipeline orchestrates tasks associated with training a Model. It always executes the training task, and optionally may also export data from Vertex AI's Dataset which becomes the training input, upload the Model to Vertex AI, and evaluate the Model.
GoogleCloudAiplatformV1beta1Trial
A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial.
GoogleCloudAiplatformV1beta1TrialContext
GoogleCloudAiplatformV1beta1TrialParameter
A message representing a parameter to be tuned.
GoogleCloudAiplatformV1beta1TunedModel
The Model Registry Model and Online Prediction Endpoint assiociated with this TuningJob.
GoogleCloudAiplatformV1beta1TunedModelRef
TunedModel Reference for legacy model migration.
GoogleCloudAiplatformV1beta1TuningDataStats
The tuning data statistic values for TuningJob.
GoogleCloudAiplatformV1beta1TuningJob
Represents a TuningJob that runs with Google owned models.
GoogleCloudAiplatformV1beta1UndeployIndexOperationMetadata
Runtime operation information for IndexEndpointService.UndeployIndex.
GoogleCloudAiplatformV1beta1UndeployIndexRequest
Request message for IndexEndpointService.UndeployIndex.
GoogleCloudAiplatformV1beta1UndeployIndexResponse
Response message for IndexEndpointService.UndeployIndex.
GoogleCloudAiplatformV1beta1UndeployModelOperationMetadata
Runtime operation information for EndpointService.UndeployModel.
GoogleCloudAiplatformV1beta1UndeployModelRequest
Request message for EndpointService.UndeployModel.
GoogleCloudAiplatformV1beta1UndeployModelResponse
Response message for EndpointService.UndeployModel.
GoogleCloudAiplatformV1beta1UndeploySolverOperationMetadata
Runtime operation information for SolverService.UndeploySolver.
GoogleCloudAiplatformV1beta1UnmanagedContainerModel
Contains model information necessary to perform batch prediction without requiring a full model import.
GoogleCloudAiplatformV1beta1UpdateDeploymentResourcePoolOperationMetadata
Runtime operation information for UpdateDeploymentResourcePool method.
GoogleCloudAiplatformV1beta1UpdateEndpointLongRunningRequest
Request message for EndpointService.UpdateEndpointLongRunning.
GoogleCloudAiplatformV1beta1UpdateExplanationDatasetOperationMetadata
Runtime operation information for ModelService.UpdateExplanationDataset.
GoogleCloudAiplatformV1beta1UpdateExplanationDatasetRequest
Request message for ModelService.UpdateExplanationDataset.
GoogleCloudAiplatformV1beta1UpdateExplanationDatasetResponse
Response message of ModelService.UpdateExplanationDataset operation.
GoogleCloudAiplatformV1beta1UpdateFeatureGroupOperationMetadata
Details of operations that perform update FeatureGroup.
GoogleCloudAiplatformV1beta1UpdateFeatureOnlineStoreOperationMetadata
Details of operations that perform update FeatureOnlineStore.
GoogleCloudAiplatformV1beta1UpdateFeatureOperationMetadata
Details of operations that perform update Feature.
GoogleCloudAiplatformV1beta1UpdateFeatureViewOperationMetadata
Details of operations that perform update FeatureView.
GoogleCloudAiplatformV1beta1UpdateFeaturestoreOperationMetadata
Details of operations that perform update Featurestore.
GoogleCloudAiplatformV1beta1UpdateIndexOperationMetadata
Runtime operation information for IndexService.UpdateIndex.
GoogleCloudAiplatformV1beta1UpdateModelDeploymentMonitoringJobOperationMetadata
Runtime operation information for JobService.UpdateModelDeploymentMonitoringJob.
GoogleCloudAiplatformV1beta1UpdateModelMonitorOperationMetadata
Runtime operation information for ModelMonitoringService.UpdateModelMonitor.
GoogleCloudAiplatformV1beta1UpdatePersistentResourceOperationMetadata
Details of operations that perform update PersistentResource.
GoogleCloudAiplatformV1beta1UpdateSpecialistPoolOperationMetadata
Runtime operation metadata for SpecialistPoolService.UpdateSpecialistPool.
GoogleCloudAiplatformV1beta1UpdateTensorboardOperationMetadata
Details of operations that perform update Tensorboard.
GoogleCloudAiplatformV1beta1UpgradeNotebookRuntimeOperationMetadata
Metadata information for NotebookService.UpgradeNotebookRuntime.
GoogleCloudAiplatformV1beta1UpgradeNotebookRuntimeRequest
Request message for NotebookService.UpgradeNotebookRuntime.
GoogleCloudAiplatformV1beta1UploadModelOperationMetadata
Details of ModelService.UploadModel operation.
GoogleCloudAiplatformV1beta1UploadModelRequest
Request message for ModelService.UploadModel.
GoogleCloudAiplatformV1beta1UploadModelResponse
Response message of ModelService.UploadModel operation.
GoogleCloudAiplatformV1beta1UploadRagFileConfig
Config for uploading RagFile.
GoogleCloudAiplatformV1beta1UploadRagFileRequest
Request message for VertexRagDataService.UploadRagFile.
GoogleCloudAiplatformV1beta1UploadRagFileResponse
Response message for VertexRagDataService.UploadRagFile.
GoogleCloudAiplatformV1beta1UpsertDatapointsRequest
Request message for IndexService.UpsertDatapoints
GoogleCloudAiplatformV1beta1UpsertDatapointsResponse
Response message for IndexService.UpsertDatapoints
GoogleCloudAiplatformV1beta1UserActionReference
References an API call. It contains more information about long running operation and Jobs that are triggered by the API call.
GoogleCloudAiplatformV1beta1Value
Value is the value of the field.
GoogleCloudAiplatformV1beta1VertexAISearch
Retrieve from Vertex AI Search datastore for grounding. See https://cloud.google.com/products/agent-builder
GoogleCloudAiplatformV1beta1VertexRagStore
Retrieve from Vertex RAG Store for grounding.
GoogleCloudAiplatformV1beta1VertexRagStoreRagResource
The definition of the Rag resource.
GoogleCloudAiplatformV1beta1VideoMetadata
Metadata describes the input video content.
GoogleCloudAiplatformV1beta1WorkerPoolSpec
Represents the spec of a worker pool in a job.
GoogleCloudAiplatformV1beta1WriteFeatureValuesPayload
Contains Feature values to be written for a specific entity.
GoogleCloudAiplatformV1beta1WriteFeatureValuesRequest
Request message for FeaturestoreOnlineServingService.WriteFeatureValues.
GoogleCloudAiplatformV1beta1WriteFeatureValuesResponse
Response message for FeaturestoreOnlineServingService.WriteFeatureValues.
GoogleCloudAiplatformV1beta1WriteTensorboardExperimentDataRequest
Request message for TensorboardService.WriteTensorboardExperimentData.
GoogleCloudAiplatformV1beta1WriteTensorboardExperimentDataResponse
Response message for TensorboardService.WriteTensorboardExperimentData.
GoogleCloudAiplatformV1beta1WriteTensorboardRunDataRequest
Request message for TensorboardService.WriteTensorboardRunData.
GoogleCloudAiplatformV1beta1WriteTensorboardRunDataResponse
Response message for TensorboardService.WriteTensorboardRunData.
GoogleCloudAiplatformV1beta1XraiAttribution
An explanation method that redistributes Integrated Gradients attributions to segmented regions, taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1906.02825 Supported only by image Models.
GoogleCloudLocationListLocationsResponse
The response message for Locations.ListLocations.
GoogleCloudLocationLocation
A resource that represents a Google Cloud location.
GoogleIamV1Binding
Associates members
, or principals, with a role
.
GoogleIamV1GetIamPolicyRequest
Request message for GetIamPolicy
method.
GoogleIamV1GetPolicyOptions
Encapsulates settings provided to GetIamPolicy.
GoogleIamV1Policy
An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A
Policy
is a collection of bindings
. A binding
binds one or more members
, or principals, to a single
role
. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A
role
is a named list of permissions; each role
can be an IAM predefined role or a user-created custom role.
For some types of Google Cloud resources, a binding
can also specify a condition
, which is a logical
expression that allows access to a resource only if the expression evaluates to true
. A condition can add
constraints based on attributes of the request, the resource, or both. To learn which resources support
conditions in their IAM policies, see the IAM
documentation. JSON example:
{
"bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com",
"group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] },
{ "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": {
"title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time
< timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 }
YAML example:
bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com -
serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin -
members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable
access description: Does not grant access after Sep 2020 expression: request.time <
timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3
For a description of IAM and its features, see the IAM documentation.
GoogleIamV1SetIamPolicyRequest
Request message for SetIamPolicy
method.
GoogleIamV1TestIamPermissionsRequest
Request message for TestIamPermissions
method.
GoogleIamV1TestIamPermissionsResponse
Response message for TestIamPermissions
method.
GoogleLongrunningListOperationsResponse
The response message for Operations.ListOperations.
GoogleLongrunningOperation
This resource represents a long-running operation that is the result of a network API call.
GoogleProtobufEmpty
A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
GoogleRpcStatus
The Status
type defines a logical error model that is suitable for different programming environments,
including REST APIs and RPC APIs. It is used by gRPC. Each Status
message contains
three pieces of data: error code, error message, and error details. You can find out more about this error model
and how to work with it in the API Design Guide.
GoogleTypeColor
Represents a color in the RGBA color space. This representation is designed for simplicity of conversion to and
from color representations in various languages over compactness. For example, the fields of this representation
can be trivially provided to the constructor of java.awt.Color
in Java; it can also be trivially provided to
UIColor's +colorWithRed:green:blue:alpha
method in iOS; and, with just a little work, it can be easily
formatted into a CSS rgba()
string in JavaScript. This reference page doesn't have information about the
absolute color space that should be used to interpret the RGB value—for example, sRGB, Adobe RGB, DCI-P3, and
BT.2020. By default, applications should assume the sRGB color space. When color equality needs to be decided,
implementations, unless documented otherwise, treat two colors as equal if all their red, green, blue, and alpha
values each differ by at most 1e-5
. Example (Java): import com.google.type.Color; // ... public static
java.awt.Color fromProto(Color protocolor) { float alpha = protocolor.hasAlpha() ?
protocolor.getAlpha().getValue() : 1.0; return new java.awt.Color( protocolor.getRed(), protocolor.getGreen(),
protocolor.getBlue(), alpha); } public static Color toProto(java.awt.Color color) { float red = (float)
color.getRed(); float green = (float) color.getGreen(); float blue = (float) color.getBlue(); float denominator
= 255.0; Color.Builder resultBuilder = Color .newBuilder() .setRed(red / denominator) .setGreen(green /
denominator) .setBlue(blue / denominator); int alpha = color.getAlpha(); if (alpha != 255) { result.setAlpha(
FloatValue .newBuilder() .setValue(((float) alpha) / denominator) .build()); } return resultBuilder.build(); }
// ... Example (iOS / Obj-C): // ... static UIColor* fromProto(Color* protocolor) { float red = [protocolor
red]; float green = [protocolor green]; float blue = [protocolor blue]; FloatValue* alpha_wrapper = [protocolor
alpha]; float alpha = 1.0; if (alpha_wrapper != nil) { alpha = [alpha_wrapper value]; } return [UIColor
colorWithRed:red green:green blue:blue alpha:alpha]; } static Color* toProto(UIColor* color) { CGFloat red,
green, blue, alpha; if (![color getRed:&red green:&green blue:&blue
alpha:&alpha]) { return nil; } Color* result = [[Color alloc] init]; [result setRed:red]; [result
setGreen:green]; [result setBlue:blue]; if (alpha <= 0.9999) { [result
setAlpha:floatWrapperWithValue(alpha)]; } [result autorelease]; return result; } // ... Example (JavaScript): //
... var protoToCssColor = function(rgb_color) { var redFrac = rgb_color.red || 0.0; var greenFrac =
rgb_color.green || 0.0; var blueFrac = rgb_color.blue || 0.0; var red = Math.floor(redFrac * 255); var green =
Math.floor(greenFrac * 255); var blue = Math.floor(blueFrac * 255); if (!('alpha' in rgb_color)) { return
rgbToCssColor(red, green, blue); } var alphaFrac = rgb_color.alpha.value || 0.0; var rgbParams = [red, green,
blue].join(','); return ['rgba(', rgbParams, ',', alphaFrac, ')'].join(''); }; var rgbToCssColor = function(red,
green, blue) { var rgbNumber = new Number((red << 16) | (green << 8) | blue); var
hexString = rgbNumber.toString(16); var missingZeros = 6 - hexString.length; var resultBuilder = ['#']; for (var
i = 0; i < missingZeros; i++) { resultBuilder.push('0'); } resultBuilder.push(hexString); return
resultBuilder.join(''); }; // ...
GoogleTypeDate
Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp
GoogleTypeExpr
Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information.
GoogleTypeInterval
Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.
GoogleTypeMoney
Represents an amount of money with its currency type.