Namespace Google.Apis.Aiplatform.v1.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.

GoogleCloudAiplatformV1ActiveLearningConfig

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.

GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsRequest

Request message for MetadataService.AddContextArtifactsAndExecutions.

GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsResponse

Response message for MetadataService.AddContextArtifactsAndExecutions.

GoogleCloudAiplatformV1AddContextChildrenRequest

Request message for MetadataService.AddContextChildren.

GoogleCloudAiplatformV1AddContextChildrenResponse

Response message for MetadataService.AddContextChildren.

GoogleCloudAiplatformV1AddExecutionEventsRequest

Request message for MetadataService.AddExecutionEvents.

GoogleCloudAiplatformV1AddExecutionEventsResponse

Response message for MetadataService.AddExecutionEvents.

GoogleCloudAiplatformV1AddTrialMeasurementRequest

Request message for VizierService.AddTrialMeasurement.

GoogleCloudAiplatformV1Annotation

Used to assign specific AnnotationSpec to a particular area of a DataItem or the whole part of the DataItem.

GoogleCloudAiplatformV1AnnotationSpec

Identifies a concept with which DataItems may be annotated with.

GoogleCloudAiplatformV1Artifact

Instance of a general artifact.

GoogleCloudAiplatformV1AssignNotebookRuntimeOperationMetadata

Metadata information for NotebookService.AssignNotebookRuntime.

GoogleCloudAiplatformV1AssignNotebookRuntimeRequest

Request message for NotebookService.AssignNotebookRuntime.

GoogleCloudAiplatformV1Attribution

Attribution that explains a particular prediction output.

GoogleCloudAiplatformV1AutomaticResources

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.

GoogleCloudAiplatformV1AutoscalingMetricSpec

The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count.

GoogleCloudAiplatformV1AvroSource

The storage details for Avro input content.

GoogleCloudAiplatformV1BatchCancelPipelineJobsRequest

Request message for PipelineService.BatchCancelPipelineJobs.

GoogleCloudAiplatformV1BatchCreateFeaturesOperationMetadata

Details of operations that perform batch create Features.

GoogleCloudAiplatformV1BatchCreateFeaturesRequest

Request message for FeaturestoreService.BatchCreateFeatures. Request message for FeatureRegistryService.BatchCreateFeatures.

GoogleCloudAiplatformV1BatchCreateFeaturesResponse

Response message for FeaturestoreService.BatchCreateFeatures.

GoogleCloudAiplatformV1BatchCreateTensorboardRunsRequest

Request message for TensorboardService.BatchCreateTensorboardRuns.

GoogleCloudAiplatformV1BatchCreateTensorboardRunsResponse

Response message for TensorboardService.BatchCreateTensorboardRuns.

GoogleCloudAiplatformV1BatchCreateTensorboardTimeSeriesRequest

Request message for TensorboardService.BatchCreateTensorboardTimeSeries.

GoogleCloudAiplatformV1BatchCreateTensorboardTimeSeriesResponse

Response message for TensorboardService.BatchCreateTensorboardTimeSeries.

GoogleCloudAiplatformV1BatchDedicatedResources

A description of resources that are used for performing batch operations, are dedicated to a Model, and need manual configuration.

GoogleCloudAiplatformV1BatchDeletePipelineJobsRequest

Request message for PipelineService.BatchDeletePipelineJobs.

GoogleCloudAiplatformV1BatchImportEvaluatedAnnotationsRequest

Request message for ModelService.BatchImportEvaluatedAnnotations

GoogleCloudAiplatformV1BatchImportEvaluatedAnnotationsResponse

Response message for ModelService.BatchImportEvaluatedAnnotations

GoogleCloudAiplatformV1BatchImportModelEvaluationSlicesRequest

Request message for ModelService.BatchImportModelEvaluationSlices

GoogleCloudAiplatformV1BatchImportModelEvaluationSlicesResponse

Response message for ModelService.BatchImportModelEvaluationSlices

GoogleCloudAiplatformV1BatchMigrateResourcesOperationMetadata

Runtime operation information for MigrationService.BatchMigrateResources.

GoogleCloudAiplatformV1BatchMigrateResourcesOperationMetadataPartialResult

Represents a partial result in batch migration operation for one MigrateResourceRequest.

GoogleCloudAiplatformV1BatchMigrateResourcesRequest

Request message for MigrationService.BatchMigrateResources.

GoogleCloudAiplatformV1BatchMigrateResourcesResponse

Response message for MigrationService.BatchMigrateResources.

GoogleCloudAiplatformV1BatchPredictionJob

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.

GoogleCloudAiplatformV1BatchPredictionJobInputConfig

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.

GoogleCloudAiplatformV1BatchPredictionJobInstanceConfig

Configuration defining how to transform batch prediction input instances to the instances that the Model accepts.

GoogleCloudAiplatformV1BatchPredictionJobOutputConfig

Configures the output of BatchPredictionJob. See Model.supported_output_storage_formats for supported output formats, and how predictions are expressed via any of them.

GoogleCloudAiplatformV1BatchPredictionJobOutputInfo

Further describes this job's output. Supplements output_config.

GoogleCloudAiplatformV1BatchReadFeatureValuesOperationMetadata

Details of operations that batch reads Feature values.

GoogleCloudAiplatformV1BatchReadFeatureValuesRequest

Request message for FeaturestoreService.BatchReadFeatureValues.

GoogleCloudAiplatformV1BatchReadFeatureValuesRequestEntityTypeSpec

Selects Features of an EntityType to read values of and specifies read settings.

GoogleCloudAiplatformV1BatchReadFeatureValuesRequestPassThroughField

Describe pass-through fields in read_instance source.

GoogleCloudAiplatformV1BatchReadFeatureValuesResponse

Response message for FeaturestoreService.BatchReadFeatureValues.

GoogleCloudAiplatformV1BatchReadTensorboardTimeSeriesDataResponse

Response message for TensorboardService.BatchReadTensorboardTimeSeriesData.

GoogleCloudAiplatformV1BigQueryDestination

The BigQuery location for the output content.

GoogleCloudAiplatformV1BigQuerySource

The BigQuery location for the input content.

GoogleCloudAiplatformV1BleuInput

Input for bleu metric.

GoogleCloudAiplatformV1BleuInstance

Spec for bleu instance.

GoogleCloudAiplatformV1BleuMetricValue

Bleu metric value for an instance.

GoogleCloudAiplatformV1BleuResults

Results for bleu metric.

GoogleCloudAiplatformV1BleuSpec

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.

GoogleCloudAiplatformV1Blob

Content blob. It's preferred to send as text directly rather than raw bytes.

GoogleCloudAiplatformV1BlurBaselineConfig

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

GoogleCloudAiplatformV1BoolArray

A list of boolean values.

GoogleCloudAiplatformV1CacheConfig

Config of GenAI caching features. This is a singleton resource.

GoogleCloudAiplatformV1CancelBatchPredictionJobRequest

Request message for JobService.CancelBatchPredictionJob.

GoogleCloudAiplatformV1CancelCustomJobRequest

Request message for JobService.CancelCustomJob.

GoogleCloudAiplatformV1CancelDataLabelingJobRequest

Request message for JobService.CancelDataLabelingJob.

GoogleCloudAiplatformV1CancelHyperparameterTuningJobRequest

Request message for JobService.CancelHyperparameterTuningJob.

GoogleCloudAiplatformV1CancelNasJobRequest

Request message for JobService.CancelNasJob.

GoogleCloudAiplatformV1CancelPipelineJobRequest

Request message for PipelineService.CancelPipelineJob.

GoogleCloudAiplatformV1CancelTrainingPipelineRequest

Request message for PipelineService.CancelTrainingPipeline.

GoogleCloudAiplatformV1CancelTuningJobRequest

Request message for GenAiTuningService.CancelTuningJob.

GoogleCloudAiplatformV1Candidate

A response candidate generated from the model.

GoogleCloudAiplatformV1CheckTrialEarlyStoppingStateMetatdata

This message will be placed in the metadata field of a google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.

GoogleCloudAiplatformV1CheckTrialEarlyStoppingStateRequest

Request message for VizierService.CheckTrialEarlyStoppingState.

GoogleCloudAiplatformV1CheckTrialEarlyStoppingStateResponse

Response message for VizierService.CheckTrialEarlyStoppingState.

GoogleCloudAiplatformV1Citation

Source attributions for content.

GoogleCloudAiplatformV1CitationMetadata

A collection of source attributions for a piece of content.

GoogleCloudAiplatformV1ClientConnectionConfig

Configurations (e.g. inference timeout) that are applied on your endpoints.

GoogleCloudAiplatformV1CoherenceInput

Input for coherence metric.

GoogleCloudAiplatformV1CoherenceInstance

Spec for coherence instance.

GoogleCloudAiplatformV1CoherenceResult

Spec for coherence result.

GoogleCloudAiplatformV1CoherenceSpec

Spec for coherence score metric.

GoogleCloudAiplatformV1CometInput

Input for Comet metric.

GoogleCloudAiplatformV1CometInstance

Spec for Comet instance - The fields used for evaluation are dependent on the comet version.

GoogleCloudAiplatformV1CometResult

Spec for Comet result - calculates the comet score for the given instance using the version specified in the spec.

GoogleCloudAiplatformV1CometSpec

Spec for Comet metric.

GoogleCloudAiplatformV1CompleteTrialRequest

Request message for VizierService.CompleteTrial.

GoogleCloudAiplatformV1CompletionStats

Success and error statistics of processing multiple entities (for example, DataItems or structured data rows) in batch.

GoogleCloudAiplatformV1ComputeTokensRequest

Request message for ComputeTokens RPC call.

GoogleCloudAiplatformV1ComputeTokensResponse

Response message for ComputeTokens RPC call.

GoogleCloudAiplatformV1ContainerRegistryDestination

The Container Registry location for the container image.

GoogleCloudAiplatformV1ContainerSpec

The spec of a Container.

GoogleCloudAiplatformV1Content

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.

GoogleCloudAiplatformV1Context

Instance of a general context.

GoogleCloudAiplatformV1CopyModelOperationMetadata

Details of ModelService.CopyModel operation.

GoogleCloudAiplatformV1CopyModelRequest

Request message for ModelService.CopyModel.

GoogleCloudAiplatformV1CopyModelResponse

Response message of ModelService.CopyModel operation.

GoogleCloudAiplatformV1CountTokensRequest

Request message for PredictionService.CountTokens.

GoogleCloudAiplatformV1CountTokensResponse

Response message for PredictionService.CountTokens.

GoogleCloudAiplatformV1CreateDatasetOperationMetadata

Runtime operation information for DatasetService.CreateDataset.

GoogleCloudAiplatformV1CreateDatasetVersionOperationMetadata

Runtime operation information for DatasetService.CreateDatasetVersion.

GoogleCloudAiplatformV1CreateDeploymentResourcePoolOperationMetadata

Runtime operation information for CreateDeploymentResourcePool method.

GoogleCloudAiplatformV1CreateDeploymentResourcePoolRequest

Request message for CreateDeploymentResourcePool method.

GoogleCloudAiplatformV1CreateEndpointOperationMetadata

Runtime operation information for EndpointService.CreateEndpoint.

GoogleCloudAiplatformV1CreateEntityTypeOperationMetadata

Details of operations that perform create EntityType.

GoogleCloudAiplatformV1CreateFeatureGroupOperationMetadata

Details of operations that perform create FeatureGroup.

GoogleCloudAiplatformV1CreateFeatureOnlineStoreOperationMetadata

Details of operations that perform create FeatureOnlineStore.

GoogleCloudAiplatformV1CreateFeatureOperationMetadata

Details of operations that perform create Feature.

GoogleCloudAiplatformV1CreateFeatureRequest

Request message for FeaturestoreService.CreateFeature. Request message for FeatureRegistryService.CreateFeature.

GoogleCloudAiplatformV1CreateFeatureViewOperationMetadata

Details of operations that perform create FeatureView.

GoogleCloudAiplatformV1CreateFeaturestoreOperationMetadata

Details of operations that perform create Featurestore.

GoogleCloudAiplatformV1CreateIndexEndpointOperationMetadata

Runtime operation information for IndexEndpointService.CreateIndexEndpoint.

GoogleCloudAiplatformV1CreateIndexOperationMetadata

Runtime operation information for IndexService.CreateIndex.

GoogleCloudAiplatformV1CreateMetadataStoreOperationMetadata

Details of operations that perform MetadataService.CreateMetadataStore.

GoogleCloudAiplatformV1CreateNotebookExecutionJobOperationMetadata

Metadata information for NotebookService.CreateNotebookExecutionJob.

GoogleCloudAiplatformV1CreateNotebookExecutionJobRequest

Request message for [NotebookService.CreateNotebookExecutionJob]

GoogleCloudAiplatformV1CreateNotebookRuntimeTemplateOperationMetadata

Metadata information for NotebookService.CreateNotebookRuntimeTemplate.

GoogleCloudAiplatformV1CreatePersistentResourceOperationMetadata

Details of operations that perform create PersistentResource.

GoogleCloudAiplatformV1CreatePipelineJobRequest

Request message for PipelineService.CreatePipelineJob.

GoogleCloudAiplatformV1CreateRegistryFeatureOperationMetadata

Details of operations that perform create FeatureGroup.

GoogleCloudAiplatformV1CreateSpecialistPoolOperationMetadata

Runtime operation information for SpecialistPoolService.CreateSpecialistPool.

GoogleCloudAiplatformV1CreateTensorboardOperationMetadata

Details of operations that perform create Tensorboard.

GoogleCloudAiplatformV1CreateTensorboardRunRequest

Request message for TensorboardService.CreateTensorboardRun.

GoogleCloudAiplatformV1CreateTensorboardTimeSeriesRequest

Request message for TensorboardService.CreateTensorboardTimeSeries.

GoogleCloudAiplatformV1CsvDestination

The storage details for CSV output content.

GoogleCloudAiplatformV1CsvSource

The storage details for CSV input content.

GoogleCloudAiplatformV1CustomJob

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).

GoogleCloudAiplatformV1CustomJobSpec

Represents the spec of a CustomJob.

GoogleCloudAiplatformV1DataItem

A piece of data in a Dataset. Could be an image, a video, a document or plain text.

GoogleCloudAiplatformV1DataItemView

A container for a single DataItem and Annotations on it.

GoogleCloudAiplatformV1DataLabelingJob

DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:

GoogleCloudAiplatformV1Dataset

A collection of DataItems and Annotations on them.

GoogleCloudAiplatformV1DatasetVersion

Describes the dataset version.

GoogleCloudAiplatformV1DedicatedResources

A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration.

GoogleCloudAiplatformV1DeleteFeatureValuesOperationMetadata

Details of operations that delete Feature values.

GoogleCloudAiplatformV1DeleteFeatureValuesRequest

Request message for FeaturestoreService.DeleteFeatureValues.

GoogleCloudAiplatformV1DeleteFeatureValuesRequestSelectEntity

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.

GoogleCloudAiplatformV1DeleteFeatureValuesRequestSelectTimeRangeAndFeature

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.

GoogleCloudAiplatformV1DeleteFeatureValuesResponse

Response message for FeaturestoreService.DeleteFeatureValues.

GoogleCloudAiplatformV1DeleteFeatureValuesResponseSelectEntity

Response message if the request uses the SelectEntity option.

GoogleCloudAiplatformV1DeleteFeatureValuesResponseSelectTimeRangeAndFeature

Response message if the request uses the SelectTimeRangeAndFeature option.

GoogleCloudAiplatformV1DeleteMetadataStoreOperationMetadata

Details of operations that perform MetadataService.DeleteMetadataStore.

GoogleCloudAiplatformV1DeleteOperationMetadata

Details of operations that perform deletes of any entities.

GoogleCloudAiplatformV1DeployIndexOperationMetadata

Runtime operation information for IndexEndpointService.DeployIndex.

GoogleCloudAiplatformV1DeployIndexRequest

Request message for IndexEndpointService.DeployIndex.

GoogleCloudAiplatformV1DeployIndexResponse

Response message for IndexEndpointService.DeployIndex.

GoogleCloudAiplatformV1DeployModelOperationMetadata

Runtime operation information for EndpointService.DeployModel.

GoogleCloudAiplatformV1DeployModelRequest

Request message for EndpointService.DeployModel.

GoogleCloudAiplatformV1DeployModelResponse

Response message for EndpointService.DeployModel.

GoogleCloudAiplatformV1DeployedIndex

A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes.

GoogleCloudAiplatformV1DeployedIndexAuthConfig

Used to set up the auth on the DeployedIndex's private endpoint.

GoogleCloudAiplatformV1DeployedIndexAuthConfigAuthProvider

Configuration for an authentication provider, including support for JSON Web Token (JWT).

GoogleCloudAiplatformV1DeployedIndexRef

Points to a DeployedIndex.

GoogleCloudAiplatformV1DeployedModel

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

GoogleCloudAiplatformV1DeployedModelRef

Points to a DeployedModel.

GoogleCloudAiplatformV1DeploymentResourcePool

A description of resources that can be shared by multiple DeployedModels, whose underlying specification consists of a DedicatedResources.

GoogleCloudAiplatformV1DestinationFeatureSetting

GoogleCloudAiplatformV1DirectPredictRequest

Request message for PredictionService.DirectPredict.

GoogleCloudAiplatformV1DirectPredictResponse

Response message for PredictionService.DirectPredict.

GoogleCloudAiplatformV1DirectRawPredictRequest

Request message for PredictionService.DirectRawPredict.

GoogleCloudAiplatformV1DirectRawPredictResponse

Response message for PredictionService.DirectRawPredict.

GoogleCloudAiplatformV1DiskSpec

Represents the spec of disk options.

GoogleCloudAiplatformV1DoubleArray

A list of double values.

GoogleCloudAiplatformV1DynamicRetrievalConfig

Describes the options to customize dynamic retrieval.

GoogleCloudAiplatformV1EncryptionSpec

Represents a customer-managed encryption key spec that can be applied to a top-level resource.

GoogleCloudAiplatformV1Endpoint

Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.

GoogleCloudAiplatformV1EntityIdSelector

Selector for entityId. Getting ids from the given source.

GoogleCloudAiplatformV1EntityType

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.

GoogleCloudAiplatformV1EnvVar

Represents an environment variable present in a Container or Python Module.

GoogleCloudAiplatformV1ErrorAnalysisAnnotation

Model error analysis for each annotation.

GoogleCloudAiplatformV1ErrorAnalysisAnnotationAttributedItem

Attributed items for a given annotation, typically representing neighbors from the training sets constrained by the query type.

GoogleCloudAiplatformV1EvaluateInstancesRequest

Request message for EvaluationService.EvaluateInstances.

GoogleCloudAiplatformV1EvaluateInstancesResponse

Response message for EvaluationService.EvaluateInstances.

GoogleCloudAiplatformV1EvaluatedAnnotation

True positive, false positive, or false negative. EvaluatedAnnotation is only available under ModelEvaluationSlice with slice of annotationSpec dimension.

GoogleCloudAiplatformV1EvaluatedAnnotationExplanation

Explanation result of the prediction produced by the Model.

GoogleCloudAiplatformV1Event

An edge describing the relationship between an Artifact and an Execution in a lineage graph.

GoogleCloudAiplatformV1ExactMatchInput

Input for exact match metric.

GoogleCloudAiplatformV1ExactMatchInstance

Spec for exact match instance.

GoogleCloudAiplatformV1ExactMatchMetricValue

Exact match metric value for an instance.

GoogleCloudAiplatformV1ExactMatchResults

Results for exact match metric.

GoogleCloudAiplatformV1ExactMatchSpec

Spec for exact match metric - returns 1 if prediction and reference exactly matches, otherwise 0.

GoogleCloudAiplatformV1Examples

Example-based explainability that returns the nearest neighbors from the provided dataset.

GoogleCloudAiplatformV1ExamplesExampleGcsSource

The Cloud Storage input instances.

GoogleCloudAiplatformV1ExamplesOverride

Overrides for example-based explanations.

GoogleCloudAiplatformV1ExamplesRestrictionsNamespace

Restrictions namespace for example-based explanations overrides.

GoogleCloudAiplatformV1Execution

Instance of a general execution.

GoogleCloudAiplatformV1ExplainRequest

Request message for PredictionService.Explain.

GoogleCloudAiplatformV1ExplainResponse

Response message for PredictionService.Explain.

GoogleCloudAiplatformV1Explanation

Explanation of a prediction (provided in PredictResponse.predictions) produced by the Model on a given instance.

GoogleCloudAiplatformV1ExplanationMetadata

Metadata describing the Model's input and output for explanation.

GoogleCloudAiplatformV1ExplanationMetadataInputMetadata

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.

GoogleCloudAiplatformV1ExplanationMetadataInputMetadataFeatureValueDomain

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.

GoogleCloudAiplatformV1ExplanationMetadataInputMetadataVisualization

Visualization configurations for image explanation.

GoogleCloudAiplatformV1ExplanationMetadataOutputMetadata

Metadata of the prediction output to be explained.

GoogleCloudAiplatformV1ExplanationMetadataOverride

The ExplanationMetadata entries that can be overridden at online explanation time.

GoogleCloudAiplatformV1ExplanationMetadataOverrideInputMetadataOverride

The input metadata entries to be overridden.

GoogleCloudAiplatformV1ExplanationParameters

Parameters to configure explaining for Model's predictions.

GoogleCloudAiplatformV1ExplanationSpec

Specification of Model explanation.

GoogleCloudAiplatformV1ExplanationSpecOverride

The ExplanationSpec entries that can be overridden at online explanation time.

GoogleCloudAiplatformV1ExportDataConfig

Describes what part of the Dataset is to be exported, the destination of the export and how to export.

GoogleCloudAiplatformV1ExportDataOperationMetadata

Runtime operation information for DatasetService.ExportData.

GoogleCloudAiplatformV1ExportDataRequest

Request message for DatasetService.ExportData.

GoogleCloudAiplatformV1ExportDataResponse

Response message for DatasetService.ExportData.

GoogleCloudAiplatformV1ExportFeatureValuesOperationMetadata

Details of operations that exports Features values.

GoogleCloudAiplatformV1ExportFeatureValuesRequest

Request message for FeaturestoreService.ExportFeatureValues.

GoogleCloudAiplatformV1ExportFeatureValuesRequestFullExport

Describes exporting all historical Feature values of all entities of the EntityType between [start_time, end_time].

GoogleCloudAiplatformV1ExportFeatureValuesRequestSnapshotExport

Describes exporting the latest Feature values of all entities of the EntityType between [start_time, snapshot_time].

GoogleCloudAiplatformV1ExportFeatureValuesResponse

Response message for FeaturestoreService.ExportFeatureValues.

GoogleCloudAiplatformV1ExportFilterSplit

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.

GoogleCloudAiplatformV1ExportFractionSplit

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.

GoogleCloudAiplatformV1ExportModelOperationMetadata

Details of ModelService.ExportModel operation.

GoogleCloudAiplatformV1ExportModelOperationMetadataOutputInfo

Further describes the output of the ExportModel. Supplements ExportModelRequest.OutputConfig.

GoogleCloudAiplatformV1ExportModelRequest

Request message for ModelService.ExportModel.

GoogleCloudAiplatformV1ExportModelRequestOutputConfig

Output configuration for the Model export.

GoogleCloudAiplatformV1ExportModelResponse

Response message of ModelService.ExportModel operation.

GoogleCloudAiplatformV1ExportTensorboardTimeSeriesDataRequest

Request message for TensorboardService.ExportTensorboardTimeSeriesData.

GoogleCloudAiplatformV1ExportTensorboardTimeSeriesDataResponse

Response message for TensorboardService.ExportTensorboardTimeSeriesData.

GoogleCloudAiplatformV1FasterDeploymentConfig

Configuration for faster model deployment.

GoogleCloudAiplatformV1Feature

Feature Metadata information. For example, color is a feature that describes an apple.

GoogleCloudAiplatformV1FeatureGroup

Vertex AI Feature Group.

GoogleCloudAiplatformV1FeatureGroupBigQuery

Input source type for BigQuery Tables and Views.

GoogleCloudAiplatformV1FeatureGroupBigQueryTimeSeries

GoogleCloudAiplatformV1FeatureMonitoringStatsAnomaly

A list of historical SnapshotAnalysis or ImportFeaturesAnalysis stats requested by user, sorted by FeatureStatsAnomaly.start_time descending.

GoogleCloudAiplatformV1FeatureNoiseSigma

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.

GoogleCloudAiplatformV1FeatureNoiseSigmaNoiseSigmaForFeature

Noise sigma for a single feature.

GoogleCloudAiplatformV1FeatureOnlineStore

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.

GoogleCloudAiplatformV1FeatureOnlineStoreBigtable

GoogleCloudAiplatformV1FeatureOnlineStoreBigtableAutoScaling

GoogleCloudAiplatformV1FeatureOnlineStoreDedicatedServingEndpoint

The dedicated serving endpoint for this FeatureOnlineStore. Only need to set when you choose Optimized storage type. Public endpoint is provisioned by default.

GoogleCloudAiplatformV1FeatureOnlineStoreOptimized

Optimized storage type

GoogleCloudAiplatformV1FeatureSelector

Selector for Features of an EntityType.

GoogleCloudAiplatformV1FeatureStatsAnomaly

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.

GoogleCloudAiplatformV1FeatureValue

Value for a feature.

GoogleCloudAiplatformV1FeatureValueDestination

A destination location for Feature values and format.

GoogleCloudAiplatformV1FeatureValueList

Container for list of values.

GoogleCloudAiplatformV1FeatureValueMetadata

Metadata of feature value.

GoogleCloudAiplatformV1FeatureView

FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig.

GoogleCloudAiplatformV1FeatureViewBigQuerySource

GoogleCloudAiplatformV1FeatureViewDataKey

Lookup key for a feature view.

GoogleCloudAiplatformV1FeatureViewDataKeyCompositeKey

ID that is comprised from several parts (columns).

GoogleCloudAiplatformV1FeatureViewFeatureRegistrySource

A Feature Registry source for features that need to be synced to Online Store.

GoogleCloudAiplatformV1FeatureViewFeatureRegistrySourceFeatureGroup

Features belonging to a single feature group that will be synced to Online Store.

GoogleCloudAiplatformV1FeatureViewIndexConfig

Configuration for vector indexing.

GoogleCloudAiplatformV1FeatureViewIndexConfigBruteForceConfig

Configuration options for using brute force search.

GoogleCloudAiplatformV1FeatureViewIndexConfigTreeAHConfig

Configuration options for the tree-AH algorithm.

GoogleCloudAiplatformV1FeatureViewOptimizedConfig

Configuration for FeatureViews created in Optimized FeatureOnlineStore.

GoogleCloudAiplatformV1FeatureViewSync

FeatureViewSync is a representation of sync operation which copies data from data source to Feature View in Online Store.

GoogleCloudAiplatformV1FeatureViewSyncConfig

Configuration for Sync. Only one option is set.

GoogleCloudAiplatformV1FeatureViewSyncSyncSummary

Summary from the Sync job. For continuous syncs, the summary is updated periodically. For batch syncs, it gets updated on completion of the sync.

GoogleCloudAiplatformV1FeatureViewVertexRagSource

A Vertex Rag source for features that need to be synced to Online Store.

GoogleCloudAiplatformV1Featurestore

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.

GoogleCloudAiplatformV1FeaturestoreMonitoringConfig

Configuration of how features in Featurestore are monitored.

GoogleCloudAiplatformV1FeaturestoreMonitoringConfigImportFeaturesAnalysis

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.

GoogleCloudAiplatformV1FeaturestoreMonitoringConfigSnapshotAnalysis

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.

GoogleCloudAiplatformV1FeaturestoreMonitoringConfigThresholdConfig

The config for Featurestore Monitoring threshold.

GoogleCloudAiplatformV1FeaturestoreOnlineServingConfig

OnlineServingConfig specifies the details for provisioning online serving resources.

GoogleCloudAiplatformV1FeaturestoreOnlineServingConfigScaling

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).

GoogleCloudAiplatformV1FetchFeatureValuesRequest

Request message for FeatureOnlineStoreService.FetchFeatureValues. All the features under the requested feature view will be returned.

GoogleCloudAiplatformV1FetchFeatureValuesResponse

Response message for FeatureOnlineStoreService.FetchFeatureValues

GoogleCloudAiplatformV1FetchFeatureValuesResponseFeatureNameValuePairList

Response structure in the format of key (feature name) and (feature) value pair.

GoogleCloudAiplatformV1FetchFeatureValuesResponseFeatureNameValuePairListFeatureNameValuePair

Feature name & value pair.

GoogleCloudAiplatformV1FetchPredictOperationRequest

Request message for PredictionService.FetchPredictOperation.

GoogleCloudAiplatformV1FileData

URI based data.

GoogleCloudAiplatformV1FilterSplit

GoogleCloudAiplatformV1FindNeighborsRequest

The request message for MatchService.FindNeighbors.

GoogleCloudAiplatformV1FindNeighborsRequestQuery

A query to find a number of the nearest neighbors (most similar vectors) of a vector.

GoogleCloudAiplatformV1FindNeighborsRequestQueryRRF

Parameters for RRF algorithm that combines search results.

GoogleCloudAiplatformV1FindNeighborsResponse

The response message for MatchService.FindNeighbors.

GoogleCloudAiplatformV1FindNeighborsResponseNearestNeighbors

Nearest neighbors for one query.

GoogleCloudAiplatformV1FindNeighborsResponseNeighbor

A neighbor of the query vector.

GoogleCloudAiplatformV1FluencyInput

Input for fluency metric.

GoogleCloudAiplatformV1FluencyInstance

Spec for fluency instance.

GoogleCloudAiplatformV1FluencyResult

Spec for fluency result.

GoogleCloudAiplatformV1FluencySpec

Spec for fluency score metric.

GoogleCloudAiplatformV1FractionSplit

GoogleCloudAiplatformV1FulfillmentInput

Input for fulfillment metric.

GoogleCloudAiplatformV1FulfillmentInstance

Spec for fulfillment instance.

GoogleCloudAiplatformV1FulfillmentResult

Spec for fulfillment result.

GoogleCloudAiplatformV1FulfillmentSpec

Spec for fulfillment metric.

GoogleCloudAiplatformV1FunctionCall

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.

GoogleCloudAiplatformV1FunctionCallingConfig

Function calling config.

GoogleCloudAiplatformV1FunctionDeclaration

Structured representation of a function declaration as defined by the OpenAPI 3.0 specification. Included in this declaration are the function name, description, parameters and response type. This FunctionDeclaration is a representation of a block of code that can be used as a Tool by the model and executed by the client.

GoogleCloudAiplatformV1FunctionResponse

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.

GoogleCloudAiplatformV1GcsDestination

The Google Cloud Storage location where the output is to be written to.

GoogleCloudAiplatformV1GcsSource

The Google Cloud Storage location for the input content.

GoogleCloudAiplatformV1GenerateContentRequest

Request message for [PredictionService.GenerateContent].

GoogleCloudAiplatformV1GenerateContentResponse

Response message for [PredictionService.GenerateContent].

GoogleCloudAiplatformV1GenerateContentResponsePromptFeedback

Content filter results for a prompt sent in the request.

GoogleCloudAiplatformV1GenerateContentResponseUsageMetadata

Usage metadata about response(s).

GoogleCloudAiplatformV1GenerationConfig

Generation config.

GoogleCloudAiplatformV1GenerationConfigRoutingConfig

The configuration for routing the request to a specific model.

GoogleCloudAiplatformV1GenerationConfigRoutingConfigAutoRoutingMode

When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference.

GoogleCloudAiplatformV1GenerationConfigRoutingConfigManualRoutingMode

When manual routing is set, the specified model will be used directly.

GoogleCloudAiplatformV1GenericOperationMetadata

Generic Metadata shared by all operations.

GoogleCloudAiplatformV1GenieSource

Contains information about the source of the models generated from Generative AI Studio.

GoogleCloudAiplatformV1GoogleSearchRetrieval

Tool to retrieve public web data for grounding, powered by Google.

GoogleCloudAiplatformV1GroundednessInput

Input for groundedness metric.

GoogleCloudAiplatformV1GroundednessInstance

Spec for groundedness instance.

GoogleCloudAiplatformV1GroundednessResult

Spec for groundedness result.

GoogleCloudAiplatformV1GroundednessSpec

Spec for groundedness metric.

GoogleCloudAiplatformV1GroundingChunk

Grounding chunk.

GoogleCloudAiplatformV1GroundingChunkRetrievedContext

Chunk from context retrieved by the retrieval tools.

GoogleCloudAiplatformV1GroundingChunkWeb

Chunk from the web.

GoogleCloudAiplatformV1GroundingMetadata

Metadata returned to client when grounding is enabled.

GoogleCloudAiplatformV1GroundingSupport

Grounding support.

GoogleCloudAiplatformV1HyperparameterTuningJob

Represents a HyperparameterTuningJob. A HyperparameterTuningJob has a Study specification and multiple CustomJobs with identical CustomJob specification.

GoogleCloudAiplatformV1IdMatcher

Matcher for Features of an EntityType by Feature ID.

GoogleCloudAiplatformV1ImportDataConfig

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.

GoogleCloudAiplatformV1ImportDataOperationMetadata

Runtime operation information for DatasetService.ImportData.

GoogleCloudAiplatformV1ImportDataRequest

Request message for DatasetService.ImportData.

GoogleCloudAiplatformV1ImportDataResponse

Response message for DatasetService.ImportData.

GoogleCloudAiplatformV1ImportFeatureValuesOperationMetadata

Details of operations that perform import Feature values.

GoogleCloudAiplatformV1ImportFeatureValuesRequest

Request message for FeaturestoreService.ImportFeatureValues.

GoogleCloudAiplatformV1ImportFeatureValuesRequestFeatureSpec

Defines the Feature value(s) to import.

GoogleCloudAiplatformV1ImportFeatureValuesResponse

Response message for FeaturestoreService.ImportFeatureValues.

GoogleCloudAiplatformV1ImportModelEvaluationRequest

Request message for ModelService.ImportModelEvaluation

GoogleCloudAiplatformV1Index

A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.

GoogleCloudAiplatformV1IndexDatapoint

A datapoint of Index.

GoogleCloudAiplatformV1IndexDatapointCrowdingTag

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.

GoogleCloudAiplatformV1IndexDatapointNumericRestriction

This field allows restricts to be based on numeric comparisons rather than categorical tokens.

GoogleCloudAiplatformV1IndexDatapointRestriction

Restriction of a datapoint which describe its attributes(tokens) from each of several attribute categories(namespaces).

GoogleCloudAiplatformV1IndexDatapointSparseEmbedding

Feature embedding vector for sparse index. An array of numbers whose values are located in the specified dimensions.

GoogleCloudAiplatformV1IndexEndpoint

Indexes are deployed into it. An IndexEndpoint can have multiple DeployedIndexes.

GoogleCloudAiplatformV1IndexPrivateEndpoints

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.

GoogleCloudAiplatformV1IndexStats

Stats of the Index.

GoogleCloudAiplatformV1InputDataConfig

Specifies Vertex AI owned input data to be used for training, and possibly evaluating, the Model.

GoogleCloudAiplatformV1Int64Array

A list of int64 values.

GoogleCloudAiplatformV1IntegratedGradientsAttribution

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

GoogleCloudAiplatformV1LargeModelReference

Contains information about the Large Model.

GoogleCloudAiplatformV1LineageSubgraph

A subgraph of the overall lineage graph. Event edges connect Artifact and Execution nodes.

GoogleCloudAiplatformV1ListAnnotationsResponse

Response message for DatasetService.ListAnnotations.

GoogleCloudAiplatformV1ListArtifactsResponse

Response message for MetadataService.ListArtifacts.

GoogleCloudAiplatformV1ListBatchPredictionJobsResponse

Response message for JobService.ListBatchPredictionJobs

GoogleCloudAiplatformV1ListContextsResponse

Response message for MetadataService.ListContexts.

GoogleCloudAiplatformV1ListCustomJobsResponse

Response message for JobService.ListCustomJobs

GoogleCloudAiplatformV1ListDataItemsResponse

Response message for DatasetService.ListDataItems.

GoogleCloudAiplatformV1ListDataLabelingJobsResponse

Response message for JobService.ListDataLabelingJobs.

GoogleCloudAiplatformV1ListDatasetVersionsResponse

Response message for DatasetService.ListDatasetVersions.

GoogleCloudAiplatformV1ListDatasetsResponse

Response message for DatasetService.ListDatasets.

GoogleCloudAiplatformV1ListDeploymentResourcePoolsResponse

Response message for ListDeploymentResourcePools method.

GoogleCloudAiplatformV1ListEndpointsResponse

Response message for EndpointService.ListEndpoints.

GoogleCloudAiplatformV1ListEntityTypesResponse

Response message for FeaturestoreService.ListEntityTypes.

GoogleCloudAiplatformV1ListExecutionsResponse

Response message for MetadataService.ListExecutions.

GoogleCloudAiplatformV1ListFeatureGroupsResponse

Response message for FeatureRegistryService.ListFeatureGroups.

GoogleCloudAiplatformV1ListFeatureOnlineStoresResponse

Response message for FeatureOnlineStoreAdminService.ListFeatureOnlineStores.

GoogleCloudAiplatformV1ListFeatureViewSyncsResponse

Response message for FeatureOnlineStoreAdminService.ListFeatureViewSyncs.

GoogleCloudAiplatformV1ListFeatureViewsResponse

Response message for FeatureOnlineStoreAdminService.ListFeatureViews.

GoogleCloudAiplatformV1ListFeaturesResponse

Response message for FeaturestoreService.ListFeatures. Response message for FeatureRegistryService.ListFeatures.

GoogleCloudAiplatformV1ListFeaturestoresResponse

Response message for FeaturestoreService.ListFeaturestores.

GoogleCloudAiplatformV1ListHyperparameterTuningJobsResponse

Response message for JobService.ListHyperparameterTuningJobs

GoogleCloudAiplatformV1ListIndexEndpointsResponse

Response message for IndexEndpointService.ListIndexEndpoints.

GoogleCloudAiplatformV1ListIndexesResponse

Response message for IndexService.ListIndexes.

GoogleCloudAiplatformV1ListMetadataSchemasResponse

Response message for MetadataService.ListMetadataSchemas.

GoogleCloudAiplatformV1ListMetadataStoresResponse

Response message for MetadataService.ListMetadataStores.

GoogleCloudAiplatformV1ListModelDeploymentMonitoringJobsResponse

Response message for JobService.ListModelDeploymentMonitoringJobs.

GoogleCloudAiplatformV1ListModelEvaluationSlicesResponse

Response message for ModelService.ListModelEvaluationSlices.

GoogleCloudAiplatformV1ListModelEvaluationsResponse

Response message for ModelService.ListModelEvaluations.

GoogleCloudAiplatformV1ListModelVersionsResponse

Response message for ModelService.ListModelVersions

GoogleCloudAiplatformV1ListModelsResponse

Response message for ModelService.ListModels

GoogleCloudAiplatformV1ListNasJobsResponse

Response message for JobService.ListNasJobs

GoogleCloudAiplatformV1ListNasTrialDetailsResponse

Response message for JobService.ListNasTrialDetails

GoogleCloudAiplatformV1ListNotebookExecutionJobsResponse

Response message for [NotebookService.CreateNotebookExecutionJob]

GoogleCloudAiplatformV1ListNotebookRuntimeTemplatesResponse

Response message for NotebookService.ListNotebookRuntimeTemplates.

GoogleCloudAiplatformV1ListNotebookRuntimesResponse

Response message for NotebookService.ListNotebookRuntimes.

GoogleCloudAiplatformV1ListOptimalTrialsRequest

Request message for VizierService.ListOptimalTrials.

GoogleCloudAiplatformV1ListOptimalTrialsResponse

Response message for VizierService.ListOptimalTrials.

GoogleCloudAiplatformV1ListPersistentResourcesResponse

Response message for PersistentResourceService.ListPersistentResources

GoogleCloudAiplatformV1ListPipelineJobsResponse

Response message for PipelineService.ListPipelineJobs

GoogleCloudAiplatformV1ListReasoningEnginesResponse

Response message for ReasoningEngineService.ListReasoningEngines

GoogleCloudAiplatformV1ListSavedQueriesResponse

Response message for DatasetService.ListSavedQueries.

GoogleCloudAiplatformV1ListSchedulesResponse

Response message for ScheduleService.ListSchedules

GoogleCloudAiplatformV1ListSpecialistPoolsResponse

Response message for SpecialistPoolService.ListSpecialistPools.

GoogleCloudAiplatformV1ListStudiesResponse

Response message for VizierService.ListStudies.

GoogleCloudAiplatformV1ListTensorboardExperimentsResponse

Response message for TensorboardService.ListTensorboardExperiments.

GoogleCloudAiplatformV1ListTensorboardRunsResponse

Response message for TensorboardService.ListTensorboardRuns.

GoogleCloudAiplatformV1ListTensorboardTimeSeriesResponse

Response message for TensorboardService.ListTensorboardTimeSeries.

GoogleCloudAiplatformV1ListTensorboardsResponse

Response message for TensorboardService.ListTensorboards.

GoogleCloudAiplatformV1ListTrainingPipelinesResponse

Response message for PipelineService.ListTrainingPipelines

GoogleCloudAiplatformV1ListTrialsResponse

Response message for VizierService.ListTrials.

GoogleCloudAiplatformV1ListTuningJobsResponse

Response message for GenAiTuningService.ListTuningJobs

GoogleCloudAiplatformV1LogprobsResult

Logprobs Result

GoogleCloudAiplatformV1LogprobsResultCandidate

Candidate for the logprobs token and score.

GoogleCloudAiplatformV1LogprobsResultTopCandidates

Candidates with top log probabilities at each decoding step.

GoogleCloudAiplatformV1LookupStudyRequest

Request message for VizierService.LookupStudy.

GoogleCloudAiplatformV1MachineSpec

Specification of a single machine.

GoogleCloudAiplatformV1ManualBatchTuningParameters

Manual batch tuning parameters.

GoogleCloudAiplatformV1Measurement

A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values.

GoogleCloudAiplatformV1MeasurementMetric

A message representing a metric in the measurement.

GoogleCloudAiplatformV1MergeVersionAliasesRequest

Request message for ModelService.MergeVersionAliases.

GoogleCloudAiplatformV1MetadataSchema

Instance of a general MetadataSchema.

GoogleCloudAiplatformV1MetadataStore

Instance of a metadata store. Contains a set of metadata that can be queried.

GoogleCloudAiplatformV1MetadataStoreDataplexConfig

Represents Dataplex integration settings.

GoogleCloudAiplatformV1MetadataStoreMetadataStoreState

Represents state information for a MetadataStore.

GoogleCloudAiplatformV1MetricxInput

Input for MetricX metric.

GoogleCloudAiplatformV1MetricxInstance

Spec for MetricX instance - The fields used for evaluation are dependent on the MetricX version.

GoogleCloudAiplatformV1MetricxResult

Spec for MetricX result - calculates the MetricX score for the given instance using the version specified in the spec.

GoogleCloudAiplatformV1MetricxSpec

Spec for MetricX metric.

GoogleCloudAiplatformV1MigratableResource

Represents one resource that exists in automl.googleapis.com, datalabeling.googleapis.com or ml.googleapis.com.

GoogleCloudAiplatformV1MigratableResourceAutomlDataset

Represents one Dataset in automl.googleapis.com.

GoogleCloudAiplatformV1MigratableResourceAutomlModel

Represents one Model in automl.googleapis.com.

GoogleCloudAiplatformV1MigratableResourceDataLabelingDataset

Represents one Dataset in datalabeling.googleapis.com.

GoogleCloudAiplatformV1MigratableResourceDataLabelingDatasetDataLabelingAnnotatedDataset

Represents one AnnotatedDataset in datalabeling.googleapis.com.

GoogleCloudAiplatformV1MigratableResourceMlEngineModelVersion

Represents one model Version in ml.googleapis.com.

GoogleCloudAiplatformV1MigrateResourceRequest

Config of migrating one resource from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.

GoogleCloudAiplatformV1MigrateResourceRequestMigrateAutomlDatasetConfig

Config for migrating Dataset in automl.googleapis.com to Vertex AI's Dataset.

GoogleCloudAiplatformV1MigrateResourceRequestMigrateAutomlModelConfig

Config for migrating Model in automl.googleapis.com to Vertex AI's Model.

GoogleCloudAiplatformV1MigrateResourceRequestMigrateDataLabelingDatasetConfig

Config for migrating Dataset in datalabeling.googleapis.com to Vertex AI's Dataset.

GoogleCloudAiplatformV1MigrateResourceRequestMigrateDataLabelingDatasetConfigMigrateDataLabelingAnnotatedDatasetConfig

Config for migrating AnnotatedDataset in datalabeling.googleapis.com to Vertex AI's SavedQuery.

GoogleCloudAiplatformV1MigrateResourceRequestMigrateMlEngineModelVersionConfig

Config for migrating version in ml.googleapis.com to Vertex AI's Model.

GoogleCloudAiplatformV1MigrateResourceResponse

Describes a successfully migrated resource.

GoogleCloudAiplatformV1Model

A trained machine learning Model.

GoogleCloudAiplatformV1ModelBaseModelSource

User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models.

GoogleCloudAiplatformV1ModelContainerSpec

Specification of a container for serving predictions. Some fields in this message correspond to fields in the Kubernetes Container v1 core specification.

GoogleCloudAiplatformV1ModelDataStats

Stats of data used for train or evaluate the Model.

GoogleCloudAiplatformV1ModelDeploymentMonitoringBigQueryTable

ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.

GoogleCloudAiplatformV1ModelDeploymentMonitoringJob

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.

GoogleCloudAiplatformV1ModelDeploymentMonitoringJobLatestMonitoringPipelineMetadata

All metadata of most recent monitoring pipelines.

GoogleCloudAiplatformV1ModelDeploymentMonitoringObjectiveConfig

ModelDeploymentMonitoringObjectiveConfig contains the pair of deployed_model_id to ModelMonitoringObjectiveConfig.

GoogleCloudAiplatformV1ModelDeploymentMonitoringScheduleConfig

The config for scheduling monitoring job.

GoogleCloudAiplatformV1ModelEvaluation

A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.

GoogleCloudAiplatformV1ModelEvaluationModelEvaluationExplanationSpec

GoogleCloudAiplatformV1ModelEvaluationSlice

A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.

GoogleCloudAiplatformV1ModelEvaluationSliceSlice

Definition of a slice.

GoogleCloudAiplatformV1ModelEvaluationSliceSliceSliceSpec

Specification for how the data should be sliced.

GoogleCloudAiplatformV1ModelEvaluationSliceSliceSliceSpecRange

A range of values for slice(s). low is inclusive, high is exclusive.

GoogleCloudAiplatformV1ModelEvaluationSliceSliceSliceSpecSliceConfig

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.

GoogleCloudAiplatformV1ModelEvaluationSliceSliceSliceSpecValue

Single value that supports strings and floats.

GoogleCloudAiplatformV1ModelExplanation

Aggregated explanation metrics for a Model over a set of instances.

GoogleCloudAiplatformV1ModelExportFormat

Represents export format supported by the Model. All formats export to Google Cloud Storage.

GoogleCloudAiplatformV1ModelGardenSource

Contains information about the source of the models generated from Model Garden.

GoogleCloudAiplatformV1ModelMonitoringAlertConfig

The alert config for model monitoring.

GoogleCloudAiplatformV1ModelMonitoringAlertConfigEmailAlertConfig

The config for email alert.

GoogleCloudAiplatformV1ModelMonitoringObjectiveConfig

The objective configuration for model monitoring, including the information needed to detect anomalies for one particular model.

GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigExplanationConfig

The config for integrating with Vertex Explainable AI. Only applicable if the Model has explanation_spec populated.

GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigExplanationConfigExplanationBaseline

Output from BatchPredictionJob for Model Monitoring baseline dataset, which can be used to generate baseline attribution scores.

GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigPredictionDriftDetectionConfig

The config for Prediction data drift detection.

GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingDataset

Training Dataset information.

GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig

The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.

GoogleCloudAiplatformV1ModelMonitoringStatsAnomalies

Statistics and anomalies generated by Model Monitoring.

GoogleCloudAiplatformV1ModelMonitoringStatsAnomaliesFeatureHistoricStatsAnomalies

Historical Stats (and Anomalies) for a specific Feature.

GoogleCloudAiplatformV1ModelOriginalModelInfo

Contains information about the original Model if this Model is a copy.

GoogleCloudAiplatformV1ModelSourceInfo

Detail description of the source information of the model.

GoogleCloudAiplatformV1MutateDeployedIndexOperationMetadata

Runtime operation information for IndexEndpointService.MutateDeployedIndex.

GoogleCloudAiplatformV1MutateDeployedIndexResponse

Response message for IndexEndpointService.MutateDeployedIndex.

GoogleCloudAiplatformV1MutateDeployedModelOperationMetadata

Runtime operation information for EndpointService.MutateDeployedModel.

GoogleCloudAiplatformV1MutateDeployedModelRequest

Request message for EndpointService.MutateDeployedModel.

GoogleCloudAiplatformV1MutateDeployedModelResponse

Response message for EndpointService.MutateDeployedModel.

GoogleCloudAiplatformV1NasJob

Represents a Neural Architecture Search (NAS) job.

GoogleCloudAiplatformV1NasJobOutput

Represents a uCAIP NasJob output.

GoogleCloudAiplatformV1NasJobOutputMultiTrialJobOutput

The output of a multi-trial Neural Architecture Search (NAS) jobs.

GoogleCloudAiplatformV1NasJobSpec

Represents the spec of a NasJob.

GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpec

The spec of multi-trial Neural Architecture Search (NAS).

GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpec

Represents a metric to optimize.

GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpec

Represent spec for search trials.

GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpec

Represent spec for train trials.

GoogleCloudAiplatformV1NasTrial

Represents a uCAIP NasJob trial.

GoogleCloudAiplatformV1NasTrialDetail

Represents a NasTrial details along with its parameters. If there is a corresponding train NasTrial, the train NasTrial is also returned.

GoogleCloudAiplatformV1NearestNeighborQuery

A query to find a number of similar entities.

GoogleCloudAiplatformV1NearestNeighborQueryEmbedding

The embedding vector.

GoogleCloudAiplatformV1NearestNeighborQueryNumericFilter

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

GoogleCloudAiplatformV1NearestNeighborQueryParameters

Parameters that can be overrided in each query to tune query latency and recall.

GoogleCloudAiplatformV1NearestNeighborQueryStringFilter

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.

GoogleCloudAiplatformV1NearestNeighborSearchOperationMetadata

Runtime operation metadata with regard to Matching Engine Index.

GoogleCloudAiplatformV1NearestNeighborSearchOperationMetadataContentValidationStats

GoogleCloudAiplatformV1NearestNeighborSearchOperationMetadataRecordError

GoogleCloudAiplatformV1NearestNeighbors

Nearest neighbors for one query.

GoogleCloudAiplatformV1NearestNeighborsNeighbor

A neighbor of the query vector.

GoogleCloudAiplatformV1Neighbor

Neighbors for example-based explanations.

GoogleCloudAiplatformV1NetworkSpec

Network spec.

GoogleCloudAiplatformV1NfsMount

Represents a mount configuration for Network File System (NFS) to mount.

GoogleCloudAiplatformV1NotebookEucConfig

The euc configuration of NotebookRuntimeTemplate.

GoogleCloudAiplatformV1NotebookExecutionJob

NotebookExecutionJob represents an instance of a notebook execution.

GoogleCloudAiplatformV1NotebookExecutionJobCustomEnvironmentSpec

Compute configuration to use for an execution job.

GoogleCloudAiplatformV1NotebookExecutionJobDataformRepositorySource

The Dataform Repository containing the input notebook.

GoogleCloudAiplatformV1NotebookExecutionJobDirectNotebookSource

The content of the input notebook in ipynb format.

GoogleCloudAiplatformV1NotebookExecutionJobGcsNotebookSource

The Cloud Storage uri for the input notebook.

GoogleCloudAiplatformV1NotebookExecutionJobWorkbenchRuntime

Configuration for a Workbench Instances-based environment.

GoogleCloudAiplatformV1NotebookIdleShutdownConfig

The idle shutdown configuration of NotebookRuntimeTemplate, which contains the idle_timeout as required field.

GoogleCloudAiplatformV1NotebookRuntime

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.

GoogleCloudAiplatformV1NotebookRuntimeTemplate

A template that specifies runtime configurations such as machine type, runtime version, network configurations, etc. Multiple runtimes can be created from a runtime template.

GoogleCloudAiplatformV1NotebookRuntimeTemplateRef

Points to a NotebookRuntimeTemplateRef.

GoogleCloudAiplatformV1PSCAutomationConfig

PSC config that is used to automatically create forwarding rule via ServiceConnectionMap.

GoogleCloudAiplatformV1PairwiseMetricInput

Input for pairwise metric.

GoogleCloudAiplatformV1PairwiseMetricInstance

Pairwise metric instance. Usually one instance corresponds to one row in an evaluation dataset.

GoogleCloudAiplatformV1PairwiseMetricResult

Spec for pairwise metric result.

GoogleCloudAiplatformV1PairwiseMetricSpec

Spec for pairwise metric.

GoogleCloudAiplatformV1PairwiseQuestionAnsweringQualityInput

Input for pairwise question answering quality metric.

GoogleCloudAiplatformV1PairwiseQuestionAnsweringQualityInstance

Spec for pairwise question answering quality instance.

GoogleCloudAiplatformV1PairwiseQuestionAnsweringQualityResult

Spec for pairwise question answering quality result.

GoogleCloudAiplatformV1PairwiseQuestionAnsweringQualitySpec

Spec for pairwise question answering quality score metric.

GoogleCloudAiplatformV1PairwiseSummarizationQualityInput

Input for pairwise summarization quality metric.

GoogleCloudAiplatformV1PairwiseSummarizationQualityInstance

Spec for pairwise summarization quality instance.

GoogleCloudAiplatformV1PairwiseSummarizationQualityResult

Spec for pairwise summarization quality result.

GoogleCloudAiplatformV1PairwiseSummarizationQualitySpec

Spec for pairwise summarization quality score metric.

GoogleCloudAiplatformV1Part

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.

GoogleCloudAiplatformV1PauseModelDeploymentMonitoringJobRequest

Request message for JobService.PauseModelDeploymentMonitoringJob.

GoogleCloudAiplatformV1PauseScheduleRequest

Request message for ScheduleService.PauseSchedule.

GoogleCloudAiplatformV1PersistentDiskSpec

Represents the spec of persistent disk options.

GoogleCloudAiplatformV1PersistentResource

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.

GoogleCloudAiplatformV1PipelineJob

An instance of a machine learning PipelineJob.

GoogleCloudAiplatformV1PipelineJobDetail

The runtime detail of PipelineJob.

GoogleCloudAiplatformV1PipelineJobRuntimeConfig

The runtime config of a PipelineJob.

GoogleCloudAiplatformV1PipelineJobRuntimeConfigInputArtifact

The type of an input artifact.

GoogleCloudAiplatformV1PipelineTaskDetail

The runtime detail of a task execution.

GoogleCloudAiplatformV1PipelineTaskDetailArtifactList

A list of artifact metadata.

GoogleCloudAiplatformV1PipelineTaskDetailPipelineTaskStatus

A single record of the task status.

GoogleCloudAiplatformV1PipelineTaskExecutorDetail

The runtime detail of a pipeline executor.

GoogleCloudAiplatformV1PipelineTaskExecutorDetailContainerDetail

The detail of a container execution. It contains the job names of the lifecycle of a container execution.

GoogleCloudAiplatformV1PipelineTaskExecutorDetailCustomJobDetail

The detailed info for a custom job executor.

GoogleCloudAiplatformV1PipelineTemplateMetadata

Pipeline template metadata if PipelineJob.template_uri is from supported template registry. Currently, the only supported registry is Artifact Registry.

GoogleCloudAiplatformV1PointwiseMetricInput

Input for pointwise metric.

GoogleCloudAiplatformV1PointwiseMetricInstance

Pointwise metric instance. Usually one instance corresponds to one row in an evaluation dataset.

GoogleCloudAiplatformV1PointwiseMetricResult

Spec for pointwise metric result.

GoogleCloudAiplatformV1PointwiseMetricSpec

Spec for pointwise metric.

GoogleCloudAiplatformV1Port

Represents a network port in a container.

GoogleCloudAiplatformV1PredefinedSplit

Assigns input data to training, validation, and test sets based on the value of a provided key. Supported only for tabular Datasets.

GoogleCloudAiplatformV1PredictLongRunningRequest

Request message for PredictionService.PredictLongRunning.

GoogleCloudAiplatformV1PredictRequest

Request message for PredictionService.Predict.

GoogleCloudAiplatformV1PredictRequestResponseLoggingConfig

Configuration for logging request-response to a BigQuery table.

GoogleCloudAiplatformV1PredictResponse

Response message for PredictionService.Predict.

GoogleCloudAiplatformV1PredictSchemata

Contains the schemata used in Model's predictions and explanations via PredictionService.Predict, PredictionService.Explain and BatchPredictionJob.

GoogleCloudAiplatformV1Presets

Preset configuration for example-based explanations

GoogleCloudAiplatformV1PrivateEndpoints

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.

GoogleCloudAiplatformV1PrivateServiceConnectConfig

Represents configuration for private service connect.

GoogleCloudAiplatformV1Probe

Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic.

GoogleCloudAiplatformV1ProbeExecAction

ExecAction specifies a command to execute.

GoogleCloudAiplatformV1PscAutomatedEndpoints

PscAutomatedEndpoints defines the output of the forwarding rule automatically created by each PscAutomationConfig.

GoogleCloudAiplatformV1PublisherModel

A Model Garden Publisher Model.

GoogleCloudAiplatformV1PublisherModelCallToAction

Actions could take on this Publisher Model.

GoogleCloudAiplatformV1PublisherModelCallToActionDeploy

Model metadata that is needed for UploadModel or DeployModel/CreateEndpoint requests.

GoogleCloudAiplatformV1PublisherModelCallToActionDeployDeployMetadata

Metadata information about the deployment for managing deployment config.

GoogleCloudAiplatformV1PublisherModelCallToActionDeployGke

Configurations for PublisherModel GKE deployment

GoogleCloudAiplatformV1PublisherModelCallToActionDeployVertex

Multiple setups to deploy the PublisherModel.

GoogleCloudAiplatformV1PublisherModelCallToActionOpenFineTuningPipelines

Open fine tuning pipelines.

GoogleCloudAiplatformV1PublisherModelCallToActionOpenNotebooks

Open notebooks.

GoogleCloudAiplatformV1PublisherModelCallToActionRegionalResourceReferences

The regional resource name or the URI. Key is region, e.g., us-central1, europe-west2, global, etc..

GoogleCloudAiplatformV1PublisherModelCallToActionViewRestApi

Rest API docs.

GoogleCloudAiplatformV1PublisherModelDocumentation

A named piece of documentation.

GoogleCloudAiplatformV1PublisherModelResourceReference

Reference to a resource.

GoogleCloudAiplatformV1PurgeArtifactsMetadata

Details of operations that perform MetadataService.PurgeArtifacts.

GoogleCloudAiplatformV1PurgeArtifactsRequest

Request message for MetadataService.PurgeArtifacts.

GoogleCloudAiplatformV1PurgeArtifactsResponse

Response message for MetadataService.PurgeArtifacts.

GoogleCloudAiplatformV1PurgeContextsMetadata

Details of operations that perform MetadataService.PurgeContexts.

GoogleCloudAiplatformV1PurgeContextsRequest

Request message for MetadataService.PurgeContexts.

GoogleCloudAiplatformV1PurgeContextsResponse

Response message for MetadataService.PurgeContexts.

GoogleCloudAiplatformV1PurgeExecutionsMetadata

Details of operations that perform MetadataService.PurgeExecutions.

GoogleCloudAiplatformV1PurgeExecutionsRequest

Request message for MetadataService.PurgeExecutions.

GoogleCloudAiplatformV1PurgeExecutionsResponse

Response message for MetadataService.PurgeExecutions.

GoogleCloudAiplatformV1PythonPackageSpec

The spec of a Python packaged code.

GoogleCloudAiplatformV1QueryDeployedModelsResponse

Response message for QueryDeployedModels method.

GoogleCloudAiplatformV1QuestionAnsweringCorrectnessInput

Input for question answering correctness metric.

GoogleCloudAiplatformV1QuestionAnsweringCorrectnessInstance

Spec for question answering correctness instance.

GoogleCloudAiplatformV1QuestionAnsweringCorrectnessResult

Spec for question answering correctness result.

GoogleCloudAiplatformV1QuestionAnsweringCorrectnessSpec

Spec for question answering correctness metric.

GoogleCloudAiplatformV1QuestionAnsweringHelpfulnessInput

Input for question answering helpfulness metric.

GoogleCloudAiplatformV1QuestionAnsweringHelpfulnessInstance

Spec for question answering helpfulness instance.

GoogleCloudAiplatformV1QuestionAnsweringHelpfulnessResult

Spec for question answering helpfulness result.

GoogleCloudAiplatformV1QuestionAnsweringHelpfulnessSpec

Spec for question answering helpfulness metric.

GoogleCloudAiplatformV1QuestionAnsweringQualityInput

Input for question answering quality metric.

GoogleCloudAiplatformV1QuestionAnsweringQualityInstance

Spec for question answering quality instance.

GoogleCloudAiplatformV1QuestionAnsweringQualityResult

Spec for question answering quality result.

GoogleCloudAiplatformV1QuestionAnsweringQualitySpec

Spec for question answering quality score metric.

GoogleCloudAiplatformV1QuestionAnsweringRelevanceInput

Input for question answering relevance metric.

GoogleCloudAiplatformV1QuestionAnsweringRelevanceInstance

Spec for question answering relevance instance.

GoogleCloudAiplatformV1QuestionAnsweringRelevanceResult

Spec for question answering relevance result.

GoogleCloudAiplatformV1QuestionAnsweringRelevanceSpec

Spec for question answering relevance metric.

GoogleCloudAiplatformV1RawPredictRequest

Request message for PredictionService.RawPredict.

GoogleCloudAiplatformV1RayLogsSpec

Configuration for the Ray OSS Logs.

GoogleCloudAiplatformV1RayMetricSpec

Configuration for the Ray metrics.

GoogleCloudAiplatformV1RaySpec

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.

GoogleCloudAiplatformV1ReadFeatureValuesRequest

Request message for FeaturestoreOnlineServingService.ReadFeatureValues.

GoogleCloudAiplatformV1ReadFeatureValuesResponse

Response message for FeaturestoreOnlineServingService.ReadFeatureValues.

GoogleCloudAiplatformV1ReadFeatureValuesResponseEntityView

Entity view with Feature values.

GoogleCloudAiplatformV1ReadFeatureValuesResponseEntityViewData

Container to hold value(s), successive in time, for one Feature from the request.

GoogleCloudAiplatformV1ReadFeatureValuesResponseFeatureDescriptor

Metadata for requested Features.

GoogleCloudAiplatformV1ReadFeatureValuesResponseHeader

Response header with metadata for the requested ReadFeatureValuesRequest.entity_type and Features.

GoogleCloudAiplatformV1ReadIndexDatapointsRequest

The request message for MatchService.ReadIndexDatapoints.

GoogleCloudAiplatformV1ReadIndexDatapointsResponse

The response message for MatchService.ReadIndexDatapoints.

GoogleCloudAiplatformV1ReadTensorboardBlobDataResponse

Response message for TensorboardService.ReadTensorboardBlobData.

GoogleCloudAiplatformV1ReadTensorboardSizeResponse

Response message for TensorboardService.ReadTensorboardSize.

GoogleCloudAiplatformV1ReadTensorboardTimeSeriesDataResponse

Response message for TensorboardService.ReadTensorboardTimeSeriesData.

GoogleCloudAiplatformV1ReadTensorboardUsageResponse

Response message for TensorboardService.ReadTensorboardUsage.

GoogleCloudAiplatformV1ReadTensorboardUsageResponsePerMonthUsageData

Per month usage data

GoogleCloudAiplatformV1ReadTensorboardUsageResponsePerUserUsageData

Per user usage data.

GoogleCloudAiplatformV1ReasoningEngine

ReasoningEngine provides a customizable runtime for models to determine which actions to take and in which order.

GoogleCloudAiplatformV1ReasoningEngineSpec

ReasoningEngine configurations

GoogleCloudAiplatformV1ReasoningEngineSpecPackageSpec

User provided package spec like pickled object and package requirements.

GoogleCloudAiplatformV1RebaseTunedModelRequest

Request message for GenAiTuningService.RebaseTunedModel.

GoogleCloudAiplatformV1RebootPersistentResourceOperationMetadata

Details of operations that perform reboot PersistentResource.

GoogleCloudAiplatformV1RebootPersistentResourceRequest

Request message for PersistentResourceService.RebootPersistentResource.

GoogleCloudAiplatformV1RemoveContextChildrenRequest

Request message for MetadataService.DeleteContextChildrenRequest.

GoogleCloudAiplatformV1RemoveContextChildrenResponse

Response message for MetadataService.RemoveContextChildren.

GoogleCloudAiplatformV1RemoveDatapointsRequest

Request message for IndexService.RemoveDatapoints

GoogleCloudAiplatformV1RemoveDatapointsResponse

Response message for IndexService.RemoveDatapoints

GoogleCloudAiplatformV1ReservationAffinity

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.

GoogleCloudAiplatformV1ResourcePool

Represents the spec of a group of resources of the same type, for example machine type, disk, and accelerators, in a PersistentResource.

GoogleCloudAiplatformV1ResourcePoolAutoscalingSpec

The min/max number of replicas allowed if enabling autoscaling

GoogleCloudAiplatformV1ResourceRuntime

Persistent Cluster runtime information as output

GoogleCloudAiplatformV1ResourceRuntimeSpec

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.

GoogleCloudAiplatformV1ResourcesConsumed

Statistics information about resource consumption.

GoogleCloudAiplatformV1RestoreDatasetVersionOperationMetadata

Runtime operation information for DatasetService.RestoreDatasetVersion.

GoogleCloudAiplatformV1ResumeModelDeploymentMonitoringJobRequest

Request message for JobService.ResumeModelDeploymentMonitoringJob.

GoogleCloudAiplatformV1ResumeScheduleRequest

Request message for ScheduleService.ResumeSchedule.

GoogleCloudAiplatformV1Retrieval

Defines a retrieval tool that model can call to access external knowledge.

GoogleCloudAiplatformV1RetrievalMetadata

Metadata related to retrieval in the grounding flow.

GoogleCloudAiplatformV1RougeInput

Input for rouge metric.

GoogleCloudAiplatformV1RougeInstance

Spec for rouge instance.

GoogleCloudAiplatformV1RougeMetricValue

Rouge metric value for an instance.

GoogleCloudAiplatformV1RougeResults

Results for rouge metric.

GoogleCloudAiplatformV1RougeSpec

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.

GoogleCloudAiplatformV1SafetyInput

Input for safety metric.

GoogleCloudAiplatformV1SafetyInstance

Spec for safety instance.

GoogleCloudAiplatformV1SafetyRating

Safety rating corresponding to the generated content.

GoogleCloudAiplatformV1SafetyResult

Spec for safety result.

GoogleCloudAiplatformV1SafetySetting

Safety settings.

GoogleCloudAiplatformV1SafetySpec

Spec for safety metric.

GoogleCloudAiplatformV1SampleConfig

Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.

GoogleCloudAiplatformV1SampledShapleyAttribution

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.

GoogleCloudAiplatformV1SamplingStrategy

Sampling Strategy for logging, can be for both training and prediction dataset.

GoogleCloudAiplatformV1SamplingStrategyRandomSampleConfig

Requests are randomly selected.

GoogleCloudAiplatformV1SavedQuery

A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.

GoogleCloudAiplatformV1Scalar

One point viewable on a scalar metric plot.

GoogleCloudAiplatformV1Schedule

An instance of a Schedule periodically schedules runs to make API calls based on user specified time specification and API request type.

GoogleCloudAiplatformV1ScheduleRunResponse

Status of a scheduled run.

GoogleCloudAiplatformV1Scheduling

All parameters related to queuing and scheduling of custom jobs.

GoogleCloudAiplatformV1Schema

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.

GoogleCloudAiplatformV1SchemaAnnotationSpecColor

An entry of mapping between color and AnnotationSpec. The mapping is used in segmentation mask.

GoogleCloudAiplatformV1SchemaImageBoundingBoxAnnotation

Annotation details specific to image object detection.

GoogleCloudAiplatformV1SchemaImageClassificationAnnotation

Annotation details specific to image classification.

GoogleCloudAiplatformV1SchemaImageDataItem

Payload of Image DataItem.

GoogleCloudAiplatformV1SchemaImageDatasetMetadata

The metadata of Datasets that contain Image DataItems.

GoogleCloudAiplatformV1SchemaImageSegmentationAnnotation

Annotation details specific to image segmentation.

GoogleCloudAiplatformV1SchemaImageSegmentationAnnotationMaskAnnotation

The mask based segmentation annotation.

GoogleCloudAiplatformV1SchemaImageSegmentationAnnotationPolygonAnnotation

Represents a polygon in image.

GoogleCloudAiplatformV1SchemaImageSegmentationAnnotationPolylineAnnotation

Represents a polyline in image.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics

Bounding box matching model metrics for a single intersection-over-union threshold and multiple label match confidence thresholds.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetricsConfidenceMetrics

Metrics for a single confidence threshold.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsClassificationEvaluationMetrics

Metrics for classification evaluation results.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsClassificationEvaluationMetricsConfidenceMetrics

GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix

GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrixAnnotationSpecRef

GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetrics

Metrics for forecasting evaluation results.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry

Entry for the Quantiles loss type optimization objective.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsGeneralTextGenerationEvaluationMetrics

GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageObjectDetectionEvaluationMetrics

Metrics for image object detection evaluation results.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageSegmentationEvaluationMetrics

Metrics for image segmentation evaluation results.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageSegmentationEvaluationMetricsConfidenceMetricsEntry

GoogleCloudAiplatformV1SchemaModelevaluationMetricsPairwiseTextGenerationEvaluationMetrics

Metrics for general pairwise text generation evaluation results.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsQuestionAnsweringEvaluationMetrics

GoogleCloudAiplatformV1SchemaModelevaluationMetricsRegressionEvaluationMetrics

Metrics for regression evaluation results.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsSummarizationEvaluationMetrics

GoogleCloudAiplatformV1SchemaModelevaluationMetricsTextExtractionEvaluationMetrics

Metrics for text extraction evaluation results.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsTextExtractionEvaluationMetricsConfidenceMetrics

GoogleCloudAiplatformV1SchemaModelevaluationMetricsTextSentimentEvaluationMetrics

Model evaluation metrics for text sentiment problems.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetrics

UNIMPLEMENTED. Track matching model metrics for a single track match threshold and multiple label match confidence thresholds.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetricsConfidenceMetrics

Metrics for a single confidence threshold.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoActionMetrics

The Evaluation metrics given a specific precision_window_length.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoActionMetricsConfidenceMetrics

Metrics for a single confidence threshold.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoActionRecognitionMetrics

Model evaluation metrics for video action recognition.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoObjectTrackingMetrics

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).

GoogleCloudAiplatformV1SchemaPredictInstanceImageClassificationPredictionInstance

Prediction input format for Image Classification.

GoogleCloudAiplatformV1SchemaPredictInstanceImageObjectDetectionPredictionInstance

Prediction input format for Image Object Detection.

GoogleCloudAiplatformV1SchemaPredictInstanceImageSegmentationPredictionInstance

Prediction input format for Image Segmentation.

GoogleCloudAiplatformV1SchemaPredictInstanceTextClassificationPredictionInstance

Prediction input format for Text Classification.

GoogleCloudAiplatformV1SchemaPredictInstanceTextExtractionPredictionInstance

Prediction input format for Text Extraction.

GoogleCloudAiplatformV1SchemaPredictInstanceTextSentimentPredictionInstance

Prediction input format for Text Sentiment.

GoogleCloudAiplatformV1SchemaPredictInstanceVideoActionRecognitionPredictionInstance

Prediction input format for Video Action Recognition.

GoogleCloudAiplatformV1SchemaPredictInstanceVideoClassificationPredictionInstance

Prediction input format for Video Classification.

GoogleCloudAiplatformV1SchemaPredictInstanceVideoObjectTrackingPredictionInstance

Prediction input format for Video Object Tracking.

GoogleCloudAiplatformV1SchemaPredictParamsGroundingConfig

The configuration for grounding checking.

GoogleCloudAiplatformV1SchemaPredictParamsGroundingConfigSourceEntry

Single source entry for the grounding checking.

GoogleCloudAiplatformV1SchemaPredictParamsImageClassificationPredictionParams

Prediction model parameters for Image Classification.

GoogleCloudAiplatformV1SchemaPredictParamsImageObjectDetectionPredictionParams

Prediction model parameters for Image Object Detection.

GoogleCloudAiplatformV1SchemaPredictParamsImageSegmentationPredictionParams

Prediction model parameters for Image Segmentation.

GoogleCloudAiplatformV1SchemaPredictParamsVideoActionRecognitionPredictionParams

Prediction model parameters for Video Action Recognition.

GoogleCloudAiplatformV1SchemaPredictParamsVideoClassificationPredictionParams

Prediction model parameters for Video Classification.

GoogleCloudAiplatformV1SchemaPredictParamsVideoObjectTrackingPredictionParams

Prediction model parameters for Video Object Tracking.

GoogleCloudAiplatformV1SchemaPredictPredictionClassificationPredictionResult

Prediction output format for Image and Text Classification.

GoogleCloudAiplatformV1SchemaPredictPredictionImageObjectDetectionPredictionResult

Prediction output format for Image Object Detection.

GoogleCloudAiplatformV1SchemaPredictPredictionImageSegmentationPredictionResult

Prediction output format for Image Segmentation.

GoogleCloudAiplatformV1SchemaPredictPredictionTabularClassificationPredictionResult

Prediction output format for Tabular Classification.

GoogleCloudAiplatformV1SchemaPredictPredictionTabularRegressionPredictionResult

Prediction output format for Tabular Regression.

GoogleCloudAiplatformV1SchemaPredictPredictionTextExtractionPredictionResult

Prediction output format for Text Extraction.

GoogleCloudAiplatformV1SchemaPredictPredictionTextSentimentPredictionResult

Prediction output format for Text Sentiment

GoogleCloudAiplatformV1SchemaPredictPredictionTftFeatureImportance

GoogleCloudAiplatformV1SchemaPredictPredictionTimeSeriesForecastingPredictionResult

Prediction output format for Time Series Forecasting.

GoogleCloudAiplatformV1SchemaPredictPredictionVideoActionRecognitionPredictionResult

Prediction output format for Video Action Recognition.

GoogleCloudAiplatformV1SchemaPredictPredictionVideoClassificationPredictionResult

Prediction output format for Video Classification.

GoogleCloudAiplatformV1SchemaPredictPredictionVideoObjectTrackingPredictionResult

Prediction output format for Video Object Tracking.

GoogleCloudAiplatformV1SchemaPredictPredictionVideoObjectTrackingPredictionResultFrame

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.

GoogleCloudAiplatformV1SchemaPredictionResult

Represents a line of JSONL in the batch prediction output file.

GoogleCloudAiplatformV1SchemaPredictionResultError

GoogleCloudAiplatformV1SchemaPromptApiSchema

The A2 schema of a prompt.

GoogleCloudAiplatformV1SchemaPromptInstancePromptExecution

A prompt instance's parameters set that contains a set of variable values.

GoogleCloudAiplatformV1SchemaPromptInstanceVariableValue

The value of a variable in prompt.

GoogleCloudAiplatformV1SchemaPromptSpecMultimodalPrompt

Prompt variation that embeds preambles to prompt string.

GoogleCloudAiplatformV1SchemaPromptSpecPartList

A list of elements and information that make up a portion of prompt.

GoogleCloudAiplatformV1SchemaPromptSpecPromptMessage

The prompt message that aligns with the prompt message in google.cloud.aiplatform.master.GenerateContentRequest.

GoogleCloudAiplatformV1SchemaPromptSpecReferenceSentencePair

A pair of sentences used as reference in source and target languages.

GoogleCloudAiplatformV1SchemaPromptSpecReferenceSentencePairList

A list of reference sentence pairs.

GoogleCloudAiplatformV1SchemaPromptSpecStructuredPrompt

Prompt variation that stores preambles in separate fields.

GoogleCloudAiplatformV1SchemaPromptSpecTranslationExample

The translation example that contains reference sentences from various sources.

GoogleCloudAiplatformV1SchemaPromptSpecTranslationFileInputSource

GoogleCloudAiplatformV1SchemaPromptSpecTranslationGcsInputSource

GoogleCloudAiplatformV1SchemaPromptSpecTranslationOption

Optional settings for translation prompt.

GoogleCloudAiplatformV1SchemaPromptSpecTranslationPrompt

Prompt variation for Translation use case.

GoogleCloudAiplatformV1SchemaPromptSpecTranslationSentenceFileInput

GoogleCloudAiplatformV1SchemaTablesDatasetMetadata

The metadata of Datasets that contain tables data.

GoogleCloudAiplatformV1SchemaTablesDatasetMetadataBigQuerySource

GoogleCloudAiplatformV1SchemaTablesDatasetMetadataGcsSource

GoogleCloudAiplatformV1SchemaTablesDatasetMetadataInputConfig

The tables Dataset's data source. The Dataset doesn't store the data directly, but only pointer(s) to its data.

GoogleCloudAiplatformV1SchemaTextClassificationAnnotation

Annotation details specific to text classification.

GoogleCloudAiplatformV1SchemaTextDataItem

Payload of Text DataItem.

GoogleCloudAiplatformV1SchemaTextDatasetMetadata

The metadata of Datasets that contain Text DataItems.

GoogleCloudAiplatformV1SchemaTextExtractionAnnotation

Annotation details specific to text extraction.

GoogleCloudAiplatformV1SchemaTextPromptDatasetMetadata

The metadata of Datasets that contain Text Prompt data.

GoogleCloudAiplatformV1SchemaTextSegment

The text segment inside of DataItem.

GoogleCloudAiplatformV1SchemaTextSentimentAnnotation

Annotation details specific to text sentiment.

GoogleCloudAiplatformV1SchemaTextSentimentSavedQueryMetadata

The metadata of SavedQuery contains TextSentiment Annotations.

GoogleCloudAiplatformV1SchemaTimeSegment

A time period inside of a DataItem that has a time dimension (e.g. video).

GoogleCloudAiplatformV1SchemaTimeSeriesDatasetMetadata

The metadata of Datasets that contain time series data.

GoogleCloudAiplatformV1SchemaTimeSeriesDatasetMetadataBigQuerySource

GoogleCloudAiplatformV1SchemaTimeSeriesDatasetMetadataGcsSource

GoogleCloudAiplatformV1SchemaTimeSeriesDatasetMetadataInputConfig

The time series Dataset's data source. The Dataset doesn't store the data directly, but only pointer(s) to its data.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecasting

A TrainingJob that trains and uploads an AutoML Forecasting Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingInputs

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingInputsGranularity

A duration of time expressed in time granularity units.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingInputsTransformation

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingInputsTransformationAutoTransformation

Training pipeline will infer the proper transformation based on the statistic of dataset.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingInputsTransformationCategoricalTransformation

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.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingInputsTransformationNumericTransformation

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.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingInputsTransformationTextTransformation

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.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingInputsTransformationTimestampTransformation

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.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingMetadata

Model metadata specific to AutoML Forecasting.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageClassification

A TrainingJob that trains and uploads an AutoML Image Classification Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageClassificationInputs

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageClassificationMetadata

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageObjectDetection

A TrainingJob that trains and uploads an AutoML Image Object Detection Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageObjectDetectionInputs

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageObjectDetectionMetadata

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentation

A TrainingJob that trains and uploads an AutoML Image Segmentation Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentationMetadata

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTables

A TrainingJob that trains and uploads an AutoML Tables Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputs

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformation

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationAutoTransformation

Training pipeline will infer the proper transformation based on the statistic of dataset.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationCategoricalArrayTransformation

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.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationCategoricalTransformation

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationNumericArrayTransformation

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.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationNumericTransformation

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTextArrayTransformation

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.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTextTransformation

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.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTimestampTransformation

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.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesMetadata

Model metadata specific to AutoML Tables.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTextClassification

A TrainingJob that trains and uploads an AutoML Text Classification Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTextClassificationInputs

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTextExtraction

A TrainingJob that trains and uploads an AutoML Text Extraction Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTextExtractionInputs

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTextSentiment

A TrainingJob that trains and uploads an AutoML Text Sentiment Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTextSentimentInputs

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlVideoActionRecognition

A TrainingJob that trains and uploads an AutoML Video Action Recognition Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlVideoActionRecognitionInputs

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlVideoClassification

A TrainingJob that trains and uploads an AutoML Video Classification Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlVideoClassificationInputs

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlVideoObjectTracking

A TrainingJob that trains and uploads an AutoML Video ObjectTracking Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlVideoObjectTrackingInputs

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutomlImageTrainingTunableParameter

A wrapper class which contains the tunable parameters in an AutoML Image training job.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionCustomJobMetadata

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionCustomTask

A TrainingJob that trains a custom code Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionExportEvaluatedDataItemsConfig

Configuration for exporting test set predictions to a BigQuery table.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionHierarchyConfig

Configuration that defines the hierarchical relationship of time series and parameters for hierarchical forecasting strategies.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionHyperparameterTuningJobMetadata

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionHyperparameterTuningJobSpec

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionHyperparameterTuningTask

A TrainingJob that tunes Hypererparameters of a custom code Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecasting

A TrainingJob that trains and uploads an AutoML Forecasting Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputs

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsGranularity

A duration of time expressed in time granularity units.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsTransformation

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsTransformationAutoTransformation

Training pipeline will infer the proper transformation based on the statistic of dataset.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsTransformationCategoricalTransformation

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsTransformationNumericTransformation

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsTransformationTextTransformation

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInputsTransformationTimestampTransformation

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingMetadata

Model metadata specific to Seq2Seq Plus Forecasting.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecasting

A TrainingJob that trains and uploads an AutoML Forecasting Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingInputs

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingInputsGranularity

A duration of time expressed in time granularity units.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingInputsTransformation

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingInputsTransformationAutoTransformation

Training pipeline will infer the proper transformation based on the statistic of dataset.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingInputsTransformationCategoricalTransformation

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingInputsTransformationNumericTransformation

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingInputsTransformationTextTransformation

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingInputsTransformationTimestampTransformation

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingMetadata

Model metadata specific to TFT Forecasting.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionWindowConfig

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.

GoogleCloudAiplatformV1SchemaVertex

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.

GoogleCloudAiplatformV1SchemaVideoActionRecognitionAnnotation

Annotation details specific to video action recognition.

GoogleCloudAiplatformV1SchemaVideoClassificationAnnotation

Annotation details specific to video classification.

GoogleCloudAiplatformV1SchemaVideoDataItem

Payload of Video DataItem.

GoogleCloudAiplatformV1SchemaVideoDatasetMetadata

The metadata of Datasets that contain Video DataItems.

GoogleCloudAiplatformV1SchemaVideoObjectTrackingAnnotation

Annotation details specific to video object tracking.

GoogleCloudAiplatformV1SchemaVisualInspectionClassificationLabelSavedQueryMetadata

GoogleCloudAiplatformV1SchemaVisualInspectionMaskSavedQueryMetadata

GoogleCloudAiplatformV1SearchDataItemsResponse

Response message for DatasetService.SearchDataItems.

GoogleCloudAiplatformV1SearchEntryPoint

Google search entry point.

GoogleCloudAiplatformV1SearchFeaturesResponse

Response message for FeaturestoreService.SearchFeatures.

GoogleCloudAiplatformV1SearchMigratableResourcesRequest

Request message for MigrationService.SearchMigratableResources.

GoogleCloudAiplatformV1SearchMigratableResourcesResponse

Response message for MigrationService.SearchMigratableResources.

GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesRequest

Request message for JobService.SearchModelDeploymentMonitoringStatsAnomalies.

GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesRequestStatsAnomaliesObjective

Stats requested for specific objective.

GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesResponse

Response message for JobService.SearchModelDeploymentMonitoringStatsAnomalies.

GoogleCloudAiplatformV1SearchNearestEntitiesRequest

The request message for FeatureOnlineStoreService.SearchNearestEntities.

GoogleCloudAiplatformV1SearchNearestEntitiesResponse

Response message for FeatureOnlineStoreService.SearchNearestEntities

GoogleCloudAiplatformV1Segment

Segment of the content.

GoogleCloudAiplatformV1ServiceAccountSpec

Configuration for the use of custom service account to run the workloads.

GoogleCloudAiplatformV1ShieldedVmConfig

A set of Shielded Instance options. See Images using supported Shielded VM features.

GoogleCloudAiplatformV1SmoothGradConfig

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

GoogleCloudAiplatformV1SpecialistPool

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.

GoogleCloudAiplatformV1StartNotebookRuntimeOperationMetadata

Metadata information for NotebookService.StartNotebookRuntime.

GoogleCloudAiplatformV1StartNotebookRuntimeRequest

Request message for NotebookService.StartNotebookRuntime.

GoogleCloudAiplatformV1StopNotebookRuntimeRequest

Request message for NotebookService.StopNotebookRuntime.

GoogleCloudAiplatformV1StopTrialRequest

Request message for VizierService.StopTrial.

GoogleCloudAiplatformV1StratifiedSplit

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.

GoogleCloudAiplatformV1StreamRawPredictRequest

Request message for PredictionService.StreamRawPredict.

GoogleCloudAiplatformV1StreamingPredictRequest

Request message for PredictionService.StreamingPredict. The first message must contain endpoint field and optionally input. The subsequent messages must contain input.

GoogleCloudAiplatformV1StreamingPredictResponse

Response message for PredictionService.StreamingPredict.

GoogleCloudAiplatformV1StreamingReadFeatureValuesRequest

Request message for FeaturestoreOnlineServingService.StreamingReadFeatureValues.

GoogleCloudAiplatformV1StringArray

A list of string values.

GoogleCloudAiplatformV1StructFieldValue

One field of a Struct (or object) type feature value.

GoogleCloudAiplatformV1StructValue

Struct (or object) type feature value.

GoogleCloudAiplatformV1Study

A message representing a Study.

GoogleCloudAiplatformV1StudySpec

Represents specification of a Study.

GoogleCloudAiplatformV1StudySpecConvexAutomatedStoppingSpec

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.

GoogleCloudAiplatformV1StudySpecDecayCurveAutomatedStoppingSpec

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.

GoogleCloudAiplatformV1StudySpecMedianAutomatedStoppingSpec

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.

GoogleCloudAiplatformV1StudySpecMetricSpec

Represents a metric to optimize.

GoogleCloudAiplatformV1StudySpecMetricSpecSafetyMetricConfig

Used in safe optimization to specify threshold levels and risk tolerance.

GoogleCloudAiplatformV1StudySpecParameterSpec

Represents a single parameter to optimize.

GoogleCloudAiplatformV1StudySpecParameterSpecCategoricalValueSpec

Value specification for a parameter in CATEGORICAL type.

GoogleCloudAiplatformV1StudySpecParameterSpecConditionalParameterSpec

Represents a parameter spec with condition from its parent parameter.

GoogleCloudAiplatformV1StudySpecParameterSpecConditionalParameterSpecCategoricalValueCondition

Represents the spec to match categorical values from parent parameter.

GoogleCloudAiplatformV1StudySpecParameterSpecConditionalParameterSpecDiscreteValueCondition

Represents the spec to match discrete values from parent parameter.

GoogleCloudAiplatformV1StudySpecParameterSpecConditionalParameterSpecIntValueCondition

Represents the spec to match integer values from parent parameter.

GoogleCloudAiplatformV1StudySpecParameterSpecDiscreteValueSpec

Value specification for a parameter in DISCRETE type.

GoogleCloudAiplatformV1StudySpecParameterSpecDoubleValueSpec

Value specification for a parameter in DOUBLE type.

GoogleCloudAiplatformV1StudySpecParameterSpecIntegerValueSpec

Value specification for a parameter in INTEGER type.

GoogleCloudAiplatformV1StudySpecStudyStoppingConfig

The configuration (stopping conditions) for automated stopping of a Study. Conditions include trial budgets, time budgets, and convergence detection.

GoogleCloudAiplatformV1StudyTimeConstraint

Time-based Constraint for Study

GoogleCloudAiplatformV1SuggestTrialsMetadata

Details of operations that perform Trials suggestion.

GoogleCloudAiplatformV1SuggestTrialsRequest

Request message for VizierService.SuggestTrials.

GoogleCloudAiplatformV1SuggestTrialsResponse

Response message for VizierService.SuggestTrials.

GoogleCloudAiplatformV1SummarizationHelpfulnessInput

Input for summarization helpfulness metric.

GoogleCloudAiplatformV1SummarizationHelpfulnessInstance

Spec for summarization helpfulness instance.

GoogleCloudAiplatformV1SummarizationHelpfulnessResult

Spec for summarization helpfulness result.

GoogleCloudAiplatformV1SummarizationHelpfulnessSpec

Spec for summarization helpfulness score metric.

GoogleCloudAiplatformV1SummarizationQualityInput

Input for summarization quality metric.

GoogleCloudAiplatformV1SummarizationQualityInstance

Spec for summarization quality instance.

GoogleCloudAiplatformV1SummarizationQualityResult

Spec for summarization quality result.

GoogleCloudAiplatformV1SummarizationQualitySpec

Spec for summarization quality score metric.

GoogleCloudAiplatformV1SummarizationVerbosityInput

Input for summarization verbosity metric.

GoogleCloudAiplatformV1SummarizationVerbosityInstance

Spec for summarization verbosity instance.

GoogleCloudAiplatformV1SummarizationVerbosityResult

Spec for summarization verbosity result.

GoogleCloudAiplatformV1SummarizationVerbositySpec

Spec for summarization verbosity score metric.

GoogleCloudAiplatformV1SupervisedHyperParameters

Hyperparameters for SFT.

GoogleCloudAiplatformV1SupervisedTuningDataStats

Tuning data statistics for Supervised Tuning.

GoogleCloudAiplatformV1SupervisedTuningDatasetDistribution

Dataset distribution for Supervised Tuning.

GoogleCloudAiplatformV1SupervisedTuningDatasetDistributionDatasetBucket

Dataset bucket used to create a histogram for the distribution given a population of values.

GoogleCloudAiplatformV1SupervisedTuningSpec

Tuning Spec for Supervised Tuning for first party models.

GoogleCloudAiplatformV1SyncFeatureViewRequest

Request message for FeatureOnlineStoreAdminService.SyncFeatureView.

GoogleCloudAiplatformV1SyncFeatureViewResponse

Response message for FeatureOnlineStoreAdminService.SyncFeatureView.

GoogleCloudAiplatformV1TFRecordDestination

The storage details for TFRecord output content.

GoogleCloudAiplatformV1Tensor

A tensor value type.

GoogleCloudAiplatformV1Tensorboard

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.

GoogleCloudAiplatformV1TensorboardBlob

One blob (e.g, image, graph) viewable on a blob metric plot.

GoogleCloudAiplatformV1TensorboardBlobSequence

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.

GoogleCloudAiplatformV1TensorboardExperiment

A TensorboardExperiment is a group of TensorboardRuns, that are typically the results of a training job run, in a Tensorboard.

GoogleCloudAiplatformV1TensorboardRun

TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etc

GoogleCloudAiplatformV1TensorboardTensor

One point viewable on a tensor metric plot.

GoogleCloudAiplatformV1TensorboardTimeSeries

TensorboardTimeSeries maps to times series produced in training runs

GoogleCloudAiplatformV1TensorboardTimeSeriesMetadata

Describes metadata for a TensorboardTimeSeries.

GoogleCloudAiplatformV1ThresholdConfig

The config for feature monitoring threshold.

GoogleCloudAiplatformV1TimeSeriesData

All the data stored in a TensorboardTimeSeries.

GoogleCloudAiplatformV1TimeSeriesDataPoint

A TensorboardTimeSeries data point.

GoogleCloudAiplatformV1TimestampSplit

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.

GoogleCloudAiplatformV1TokensInfo

Tokens info with a list of tokens and the corresponding list of token ids.

GoogleCloudAiplatformV1Tool

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).

GoogleCloudAiplatformV1ToolCallValidInput

Input for tool call valid metric.

GoogleCloudAiplatformV1ToolCallValidInstance

Spec for tool call valid instance.

GoogleCloudAiplatformV1ToolCallValidMetricValue

Tool call valid metric value for an instance.

GoogleCloudAiplatformV1ToolCallValidResults

Results for tool call valid metric.

GoogleCloudAiplatformV1ToolCallValidSpec

Spec for tool call valid metric.

GoogleCloudAiplatformV1ToolConfig

Tool config. This config is shared for all tools provided in the request.

GoogleCloudAiplatformV1ToolNameMatchInput

Input for tool name match metric.

GoogleCloudAiplatformV1ToolNameMatchInstance

Spec for tool name match instance.

GoogleCloudAiplatformV1ToolNameMatchMetricValue

Tool name match metric value for an instance.

GoogleCloudAiplatformV1ToolNameMatchResults

Results for tool name match metric.

GoogleCloudAiplatformV1ToolNameMatchSpec

Spec for tool name match metric.

GoogleCloudAiplatformV1ToolParameterKVMatchInput

Input for tool parameter key value match metric.

GoogleCloudAiplatformV1ToolParameterKVMatchInstance

Spec for tool parameter key value match instance.

GoogleCloudAiplatformV1ToolParameterKVMatchMetricValue

Tool parameter key value match metric value for an instance.

GoogleCloudAiplatformV1ToolParameterKVMatchResults

Results for tool parameter key value match metric.

GoogleCloudAiplatformV1ToolParameterKVMatchSpec

Spec for tool parameter key value match metric.

GoogleCloudAiplatformV1ToolParameterKeyMatchInput

Input for tool parameter key match metric.

GoogleCloudAiplatformV1ToolParameterKeyMatchInstance

Spec for tool parameter key match instance.

GoogleCloudAiplatformV1ToolParameterKeyMatchMetricValue

Tool parameter key match metric value for an instance.

GoogleCloudAiplatformV1ToolParameterKeyMatchResults

Results for tool parameter key match metric.

GoogleCloudAiplatformV1ToolParameterKeyMatchSpec

Spec for tool parameter key match metric.

GoogleCloudAiplatformV1TrainingConfig

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.

GoogleCloudAiplatformV1TrainingPipeline

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.

GoogleCloudAiplatformV1Trial

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.

GoogleCloudAiplatformV1TrialContext

GoogleCloudAiplatformV1TrialParameter

A message representing a parameter to be tuned.

GoogleCloudAiplatformV1TunedModel

The Model Registry Model and Online Prediction Endpoint assiociated with this TuningJob.

GoogleCloudAiplatformV1TunedModelRef

TunedModel Reference for legacy model migration.

GoogleCloudAiplatformV1TuningDataStats

The tuning data statistic values for TuningJob.

GoogleCloudAiplatformV1TuningJob

Represents a TuningJob that runs with Google owned models.

GoogleCloudAiplatformV1UndeployIndexOperationMetadata

Runtime operation information for IndexEndpointService.UndeployIndex.

GoogleCloudAiplatformV1UndeployIndexRequest

Request message for IndexEndpointService.UndeployIndex.

GoogleCloudAiplatformV1UndeployIndexResponse

Response message for IndexEndpointService.UndeployIndex.

GoogleCloudAiplatformV1UndeployModelOperationMetadata

Runtime operation information for EndpointService.UndeployModel.

GoogleCloudAiplatformV1UndeployModelRequest

Request message for EndpointService.UndeployModel.

GoogleCloudAiplatformV1UndeployModelResponse

Response message for EndpointService.UndeployModel.

GoogleCloudAiplatformV1UnmanagedContainerModel

Contains model information necessary to perform batch prediction without requiring a full model import.

GoogleCloudAiplatformV1UpdateDeploymentResourcePoolOperationMetadata

Runtime operation information for UpdateDeploymentResourcePool method.

GoogleCloudAiplatformV1UpdateEndpointLongRunningRequest

Request message for EndpointService.UpdateEndpointLongRunning.

GoogleCloudAiplatformV1UpdateExplanationDatasetOperationMetadata

Runtime operation information for ModelService.UpdateExplanationDataset.

GoogleCloudAiplatformV1UpdateExplanationDatasetRequest

Request message for ModelService.UpdateExplanationDataset.

GoogleCloudAiplatformV1UpdateExplanationDatasetResponse

Response message of ModelService.UpdateExplanationDataset operation.

GoogleCloudAiplatformV1UpdateFeatureGroupOperationMetadata

Details of operations that perform update FeatureGroup.

GoogleCloudAiplatformV1UpdateFeatureOnlineStoreOperationMetadata

Details of operations that perform update FeatureOnlineStore.

GoogleCloudAiplatformV1UpdateFeatureOperationMetadata

Details of operations that perform update Feature.

GoogleCloudAiplatformV1UpdateFeatureViewOperationMetadata

Details of operations that perform update FeatureView.

GoogleCloudAiplatformV1UpdateFeaturestoreOperationMetadata

Details of operations that perform update Featurestore.

GoogleCloudAiplatformV1UpdateIndexOperationMetadata

Runtime operation information for IndexService.UpdateIndex.

GoogleCloudAiplatformV1UpdateModelDeploymentMonitoringJobOperationMetadata

Runtime operation information for JobService.UpdateModelDeploymentMonitoringJob.

GoogleCloudAiplatformV1UpdatePersistentResourceOperationMetadata

Details of operations that perform update PersistentResource.

GoogleCloudAiplatformV1UpdateSpecialistPoolOperationMetadata

Runtime operation metadata for SpecialistPoolService.UpdateSpecialistPool.

GoogleCloudAiplatformV1UpdateTensorboardOperationMetadata

Details of operations that perform update Tensorboard.

GoogleCloudAiplatformV1UpgradeNotebookRuntimeOperationMetadata

Metadata information for NotebookService.UpgradeNotebookRuntime.

GoogleCloudAiplatformV1UpgradeNotebookRuntimeRequest

Request message for NotebookService.UpgradeNotebookRuntime.

GoogleCloudAiplatformV1UploadModelOperationMetadata

Details of ModelService.UploadModel operation.

GoogleCloudAiplatformV1UploadModelRequest

Request message for ModelService.UploadModel.

GoogleCloudAiplatformV1UploadModelResponse

Response message of ModelService.UploadModel operation.

GoogleCloudAiplatformV1UpsertDatapointsRequest

Request message for IndexService.UpsertDatapoints

GoogleCloudAiplatformV1UpsertDatapointsResponse

Response message for IndexService.UpsertDatapoints

GoogleCloudAiplatformV1UserActionReference

References an API call. It contains more information about long running operation and Jobs that are triggered by the API call.

GoogleCloudAiplatformV1Value

Value is the value of the field.

GoogleCloudAiplatformV1VertexAISearch

Retrieve from Vertex AI Search datastore for grounding. See https://cloud.google.com/products/agent-builder

GoogleCloudAiplatformV1VertexRagStore

Retrieve from Vertex RAG Store for grounding.

GoogleCloudAiplatformV1VertexRagStoreRagResource

The definition of the Rag resource.

GoogleCloudAiplatformV1VideoMetadata

Metadata describes the input video content.

GoogleCloudAiplatformV1WorkerPoolSpec

Represents the spec of a worker pool in a job.

GoogleCloudAiplatformV1WriteFeatureValuesPayload

Contains Feature values to be written for a specific entity.

GoogleCloudAiplatformV1WriteFeatureValuesRequest

Request message for FeaturestoreOnlineServingService.WriteFeatureValues.

GoogleCloudAiplatformV1WriteFeatureValuesResponse

Response message for FeaturestoreOnlineServingService.WriteFeatureValues.

GoogleCloudAiplatformV1WriteTensorboardExperimentDataRequest

Request message for TensorboardService.WriteTensorboardExperimentData.

GoogleCloudAiplatformV1WriteTensorboardExperimentDataResponse

Response message for TensorboardService.WriteTensorboardExperimentData.

GoogleCloudAiplatformV1WriteTensorboardRunDataRequest

Request message for TensorboardService.WriteTensorboardRunData.

GoogleCloudAiplatformV1WriteTensorboardRunDataResponse

Response message for TensorboardService.WriteTensorboardRunData.

GoogleCloudAiplatformV1XraiAttribution

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.

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.

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.