Namespace Google.Apis.Aiplatform.v1beta1.Data

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.

GoogleCloudAiplatformV1beta1CoherenceInput

Input for coherence metric.

GoogleCloudAiplatformV1beta1CoherenceInstance

Spec for coherence instance.

GoogleCloudAiplatformV1beta1CoherenceResult

Spec for coherence result.

GoogleCloudAiplatformV1beta1CoherenceSpec

Spec for coherence score 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.

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.

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

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

GoogleCloudAiplatformV1beta1FeatureSelector

Selector for Features of an EntityType.

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.

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

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 and parameters. 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.

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.

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.

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.

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.

GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigInputArtifact

The type of an input artifact.

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.

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.

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.

GoogleCloudAiplatformV1beta1SchemaPromptSpecStructuredPrompt

Prompt variation that stores preambles in separate fields.

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

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

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

GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsTransformationNumericTransformation

GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsTransformationTextTransformation

GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsTransformationTimestampTransformation

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

GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsTransformationNumericTransformation

GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsTransformationTextTransformation

GoogleCloudAiplatformV1beta1SchemaTrainingjobDefinitionTftForecastingInputsTransformationTimestampTransformation

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.

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.StreamingFeatureValuesRead.

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.

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.

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
&lt; 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 &lt;
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.