aiplatform/v1 library

Vertex AI API - v1

Train high-quality custom machine learning models with minimal machine learning expertise and effort.

For more information, see cloud.google.com/vertex-ai/

Create an instance of AiplatformApi to access these resources:

Classes

AiplatformApi
Train high-quality custom machine learning models with minimal machine learning expertise and effort.
GoogleCloudAiplatformV1ActiveLearningConfig
Parameters that configure the active learning pipeline.
GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsRequest
Request message for MetadataService.AddContextArtifactsAndExecutions.
GoogleCloudAiplatformV1AddExecutionEventsRequest
Request 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.
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.
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.
GoogleCloudAiplatformV1BatchCreateFeaturesRequest
Request 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
GoogleCloudAiplatformV1BatchMigrateResourcesRequest
Request message for MigrationService.BatchMigrateResources.
GoogleCloudAiplatformV1BatchPredictionJob
A job that uses a Model to produce predictions on multiple input instances.
GoogleCloudAiplatformV1BatchPredictionJobInputConfig
Configures the input to BatchPredictionJob.
GoogleCloudAiplatformV1BatchPredictionJobInstanceConfig
Configuration defining how to transform batch prediction input instances to the instances that the Model accepts.
GoogleCloudAiplatformV1BatchPredictionJobOutputConfig
Configures the output of BatchPredictionJob.
GoogleCloudAiplatformV1BatchPredictionJobOutputInfo
Further describes this job's output.
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.
GoogleCloudAiplatformV1BatchReadTensorboardTimeSeriesDataResponse
Response message for TensorboardService.BatchReadTensorboardTimeSeriesData.
GoogleCloudAiplatformV1BigQueryDestination
The BigQuery location for the output content.
GoogleCloudAiplatformV1BigQuerySource
The BigQuery location for the input content.
GoogleCloudAiplatformV1Blob
Raw media bytes.
GoogleCloudAiplatformV1BlurBaselineConfig
Config for blur baseline.
GoogleCloudAiplatformV1BoolArray
A list of boolean values.
GoogleCloudAiplatformV1Candidate
A response candidate generated from the model.
GoogleCloudAiplatformV1Citation
Source attributions for content.
GoogleCloudAiplatformV1CitationMetadata
A collection of source attributions for a piece of content.
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.
GoogleCloudAiplatformV1Context
Instance of a general context.
GoogleCloudAiplatformV1CopyModelRequest
Request message for ModelService.CopyModel.
GoogleCloudAiplatformV1CountTokensRequest
Request message for PredictionService.CountTokens.
GoogleCloudAiplatformV1CountTokensResponse
Response message for PredictionService.CountTokens.
GoogleCloudAiplatformV1CreateDeploymentResourcePoolRequest
Request message for CreateDeploymentResourcePool method.
GoogleCloudAiplatformV1CreateFeatureRequest
Request message for FeaturestoreService.CreateFeature.
GoogleCloudAiplatformV1CreatePipelineJobRequest
Request message for PipelineService.CreatePipelineJob.
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.
GoogleCloudAiplatformV1CustomJobSpec
Represents the spec of a CustomJob.
GoogleCloudAiplatformV1DataItem
A piece of data in a Dataset.
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.
GoogleCloudAiplatformV1DeleteFeatureValuesRequest
Request message for FeaturestoreService.DeleteFeatureValues.
GoogleCloudAiplatformV1DeleteFeatureValuesRequestSelectEntity
Message to select entity.
GoogleCloudAiplatformV1DeleteFeatureValuesRequestSelectTimeRangeAndFeature
Message to select time range and feature.
GoogleCloudAiplatformV1DeployedIndex
A deployment of an Index.
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)](https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32).
GoogleCloudAiplatformV1DeployedIndexRef
Points to a DeployedIndex.
GoogleCloudAiplatformV1DeployedModel
A deployment of a Model.
GoogleCloudAiplatformV1DeployedModelRef
Points to a DeployedModel.
GoogleCloudAiplatformV1DeployIndexRequest
Request message for IndexEndpointService.DeployIndex.
GoogleCloudAiplatformV1DeploymentResourcePool
A description of resources that can be shared by multiple DeployedModels, whose underlying specification consists of a DedicatedResources.
GoogleCloudAiplatformV1DeployModelRequest
Request message for EndpointService.DeployModel.
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.
GoogleCloudAiplatformV1DoubleArray
A list of double values.
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.
GoogleCloudAiplatformV1EntityType
An entity type is a type of object in a system that needs to be modeled and have stored information about.
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.
GoogleCloudAiplatformV1EvaluatedAnnotation
True positive, false positive, or false negative.
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.
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.
GoogleCloudAiplatformV1ExplanationMetadataInputMetadataFeatureValueDomain
Domain details of the input feature value.
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.
GoogleCloudAiplatformV1ExportDataRequest
Request message for DatasetService.ExportData.
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].
GoogleCloudAiplatformV1ExportModelRequest
Request message for ModelService.ExportModel.
GoogleCloudAiplatformV1ExportModelRequestOutputConfig
Output configuration for the Model export.
GoogleCloudAiplatformV1ExportTensorboardTimeSeriesDataRequest
Request message for TensorboardService.ExportTensorboardTimeSeriesData.
GoogleCloudAiplatformV1ExportTensorboardTimeSeriesDataResponse
Response message for TensorboardService.ExportTensorboardTimeSeriesData.
GoogleCloudAiplatformV1Feature
Feature Metadata information.
GoogleCloudAiplatformV1FeatureGroup
Vertex AI Feature Group.
GoogleCloudAiplatformV1FeatureGroupBigQuery
Input source type for BigQuery Tables and Views.
GoogleCloudAiplatformV1FeatureMonitoringStatsAnomaly
A list of historical SnapshotAnalysis or ImportFeaturesAnalysis stats requested by user, sorted by FeatureStatsAnomaly.start_time descending.
GoogleCloudAiplatformV1FeatureNoiseSigma
Noise sigma by features.
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.
GoogleCloudAiplatformV1FeatureOnlineStoreBigtable
GoogleCloudAiplatformV1FeatureOnlineStoreBigtableAutoScaling
GoogleCloudAiplatformV1FeatureSelector
Selector for Features of an EntityType.
GoogleCloudAiplatformV1FeatureStatsAnomaly
Stats and Anomaly generated at specific timestamp for specific Feature.
GoogleCloudAiplatformV1Featurestore
Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features.
GoogleCloudAiplatformV1FeaturestoreMonitoringConfig
Configuration of how features in Featurestore are monitored.
GoogleCloudAiplatformV1FeaturestoreMonitoringConfigImportFeaturesAnalysis
Configuration of the Featurestore's ImportFeature Analysis Based Monitoring.
GoogleCloudAiplatformV1FeaturestoreMonitoringConfigSnapshotAnalysis
Configuration of the Featurestore's Snapshot Analysis Based Monitoring.
GoogleCloudAiplatformV1FeaturestoreMonitoringConfigThresholdConfig
The config for Featurestore Monitoring threshold.
GoogleCloudAiplatformV1FeaturestoreOnlineServingConfig
OnlineServingConfig specifies the details for provisioning online serving resources.
GoogleCloudAiplatformV1FeaturestoreOnlineServingConfigScaling
Online serving scaling configuration.
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.
GoogleCloudAiplatformV1FeatureViewSync
FeatureViewSync is a representation of sync operation which copies data from data source to Feature View in Online Store.
GoogleCloudAiplatformV1FeatureViewSyncConfig
Configuration for Sync.
GoogleCloudAiplatformV1FeatureViewSyncSyncSummary
Summary from the Sync job.
GoogleCloudAiplatformV1FetchFeatureValuesRequest
Request message for FeatureOnlineStoreService.FetchFeatureValues.
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.
GoogleCloudAiplatformV1FileData
URI based data.
GoogleCloudAiplatformV1FindNeighborsRequest
The request message for MatchService.FindNeighbors.
GoogleCloudAiplatformV1FindNeighborsRequestQuery
A query to find a number of the nearest neighbors (most similar vectors) of a vector.
GoogleCloudAiplatformV1FindNeighborsResponse
The response message for MatchService.FindNeighbors.
GoogleCloudAiplatformV1FindNeighborsResponseNearestNeighbors
Nearest neighbors for one query.
GoogleCloudAiplatformV1FindNeighborsResponseNeighbor
A neighbor of the query vector.
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.
GoogleCloudAiplatformV1FunctionDeclaration
Structured representation of a function declaration as defined by the OpenAPI 3.0 specification.
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.
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.
GoogleCloudAiplatformV1GenieSource
Contains information about the source of the models generated from Generative AI Studio.
GoogleCloudAiplatformV1GroundingAttribution
Grounding attribution.
GoogleCloudAiplatformV1GroundingAttributionWeb
Attribution from the web.
GoogleCloudAiplatformV1GroundingMetadata
Metadata returned to client when grounding is enabled.
GoogleCloudAiplatformV1HyperparameterTuningJob
Represents a HyperparameterTuningJob.
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.
GoogleCloudAiplatformV1ImportDataRequest
Request message for DatasetService.ImportData.
GoogleCloudAiplatformV1ImportFeatureValuesRequest
Request message for FeaturestoreService.ImportFeatureValues.
GoogleCloudAiplatformV1ImportFeatureValuesRequestFeatureSpec
Defines the Feature value(s) to import.
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).
GoogleCloudAiplatformV1IndexEndpoint
Indexes are deployed into it.
GoogleCloudAiplatformV1IndexPrivateEndpoints
IndexPrivateEndpoints proto is used to provide paths for users to send requests via private endpoints (e.g. private service access, private service connect).
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.
GoogleCloudAiplatformV1LargeModelReference
Contains information about the Large Model.
GoogleCloudAiplatformV1LineageSubgraph
A subgraph of the overall lineage graph.
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.
GoogleCloudAiplatformV1ListDatasetsResponse
Response message for DatasetService.ListDatasets.
GoogleCloudAiplatformV1ListDatasetVersionsResponse
Response message for DatasetService.ListDatasetVersions.
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.
GoogleCloudAiplatformV1ListFeaturesResponse
Response message for FeaturestoreService.ListFeatures.
GoogleCloudAiplatformV1ListFeaturestoresResponse
Response message for FeaturestoreService.ListFeaturestores.
GoogleCloudAiplatformV1ListFeatureViewsResponse
Response message for FeatureOnlineStoreAdminService.ListFeatureViews.
GoogleCloudAiplatformV1ListFeatureViewSyncsResponse
Response message for FeatureOnlineStoreAdminService.ListFeatureViewSyncs.
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.
GoogleCloudAiplatformV1ListModelsResponse
Response message for ModelService.ListModels
GoogleCloudAiplatformV1ListModelVersionsResponse
Response message for ModelService.ListModelVersions
GoogleCloudAiplatformV1ListNasJobsResponse
Response message for JobService.ListNasJobs
GoogleCloudAiplatformV1ListNasTrialDetailsResponse
Response message for JobService.ListNasTrialDetails
GoogleCloudAiplatformV1ListNotebookRuntimesResponse
Response message for NotebookService.ListNotebookRuntimes.
GoogleCloudAiplatformV1ListNotebookRuntimeTemplatesResponse
Response message for NotebookService.ListNotebookRuntimeTemplates.
GoogleCloudAiplatformV1ListOptimalTrialsResponse
Response message for VizierService.ListOptimalTrials.
GoogleCloudAiplatformV1ListPipelineJobsResponse
Response message for PipelineService.ListPipelineJobs
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.
GoogleCloudAiplatformV1ListTensorboardsResponse
Response message for TensorboardService.ListTensorboards.
GoogleCloudAiplatformV1ListTensorboardTimeSeriesResponse
Response message for TensorboardService.ListTensorboardTimeSeries.
GoogleCloudAiplatformV1ListTrainingPipelinesResponse
Response message for PipelineService.ListTrainingPipelines
GoogleCloudAiplatformV1ListTrialsResponse
Response message for VizierService.ListTrials.
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.
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.
GoogleCloudAiplatformV1MetadataStoreMetadataStoreState
Represents state information for a MetadataStore.
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.
GoogleCloudAiplatformV1Model
A trained machine learning Model.
GoogleCloudAiplatformV1ModelBaseModelSource
User input field to specify the base model source.
GoogleCloudAiplatformV1ModelContainerSpec
Specification of a container for serving predictions.
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.
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).
GoogleCloudAiplatformV1ModelEvaluationSliceSliceSliceSpecSliceConfig
Specification message containing the config for this SliceSpec.
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.
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.
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.
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.
GoogleCloudAiplatformV1MutateDeployedModelRequest
Request 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.
GoogleCloudAiplatformV1NearestNeighborQuery
A query to find a number of similar entities.
GoogleCloudAiplatformV1NearestNeighborQueryEmbedding
The embedding vector.
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.
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.
GoogleCloudAiplatformV1NotebookIdleShutdownConfig
The idle shutdown configuration of NotebookRuntimeTemplate, which contains the idle_timeout as required field.
GoogleCloudAiplatformV1NotebookReservationAffinity
Notebook Reservation Affinity for consuming Zonal reservation.
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.
GoogleCloudAiplatformV1NotebookRuntimeTemplateRef
Points to a NotebookRuntimeTemplateRef.
GoogleCloudAiplatformV1Part
A datatype containing media that is part of a multi-part Content message.
GoogleCloudAiplatformV1PersistentDiskSpec
Represents the spec of persistent disk options.
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.
GoogleCloudAiplatformV1PipelineTaskExecutorDetailCustomJobDetail
The detailed info for a custom job executor.
GoogleCloudAiplatformV1PipelineTemplateMetadata
Pipeline template metadata if PipelineJob.template_uri is from supported template registry.
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.
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.
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.
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.
GoogleCloudAiplatformV1PublisherModelCallToActionDeployGke
Configurations for PublisherModel GKE deployment
GoogleCloudAiplatformV1PublisherModelCallToActionOpenFineTuningPipelines
Open fine tuning pipelines.
GoogleCloudAiplatformV1PublisherModelCallToActionOpenNotebooks
Open notebooks.
GoogleCloudAiplatformV1PublisherModelCallToActionRegionalResourceReferences
The regional resource name or the URI.
GoogleCloudAiplatformV1PublisherModelCallToActionViewRestApi
Rest API docs.
GoogleCloudAiplatformV1PublisherModelDocumentation
A named piece of documentation.
GoogleCloudAiplatformV1PublisherModelResourceReference
Reference to a resource.
GoogleCloudAiplatformV1PurgeArtifactsRequest
Request message for MetadataService.PurgeArtifacts.
GoogleCloudAiplatformV1PurgeContextsRequest
Request message for MetadataService.PurgeContexts.
GoogleCloudAiplatformV1PurgeExecutionsRequest
Request message for MetadataService.PurgeExecutions.
GoogleCloudAiplatformV1PythonPackageSpec
The spec of a Python packaged code.
GoogleCloudAiplatformV1QueryDeployedModelsResponse
Response message for QueryDeployedModels method.
GoogleCloudAiplatformV1RawPredictRequest
Request message for PredictionService.RawPredict.
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.
GoogleCloudAiplatformV1RemoveDatapointsRequest
Request message for IndexService.RemoveDatapoints
GoogleCloudAiplatformV1ResourcesConsumed
Statistics information about resource consumption.
GoogleCloudAiplatformV1ResumeScheduleRequest
Request message for ScheduleService.ResumeSchedule.
GoogleCloudAiplatformV1SafetyRating
Safety rating corresponding to the generated content.
GoogleCloudAiplatformV1SafetySetting
Safety settings.
GoogleCloudAiplatformV1SampleConfig
Active learning data sampling config.
GoogleCloudAiplatformV1SampledShapleyAttribution
An attribution method that approximates Shapley values for features that contribute to the label being predicted.
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.
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.
GoogleCloudAiplatformV1SearchDataItemsResponse
Response message for DatasetService.SearchDataItems.
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.
GoogleCloudAiplatformV1ShieldedVmConfig
A set of Shielded Instance options.
GoogleCloudAiplatformV1SmoothGradConfig
Config for SmoothGrad approximation of gradients.
GoogleCloudAiplatformV1SpecialistPool
SpecialistPool represents customers' own workforce to work on their data labeling jobs.
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.
GoogleCloudAiplatformV1StreamingPredictRequest
Request message for PredictionService.StreamingPredict.
GoogleCloudAiplatformV1StreamingPredictResponse
Response message for PredictionService.StreamingPredict.
GoogleCloudAiplatformV1StreamingReadFeatureValuesRequest
Request message for FeaturestoreOnlineServingService.StreamingFeatureValuesRead.
GoogleCloudAiplatformV1StreamRawPredictRequest
Request message for PredictionService.StreamRawPredict.
GoogleCloudAiplatformV1StringArray
A list of string values.
GoogleCloudAiplatformV1Study
A message representing a Study.
GoogleCloudAiplatformV1StudySpec
Represents specification of a Study.
GoogleCloudAiplatformV1StudySpecConvexAutomatedStoppingSpec
Configuration for ConvexAutomatedStoppingSpec.
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.
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.
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.
GoogleCloudAiplatformV1StudyTimeConstraint
Time-based Constraint for Study
GoogleCloudAiplatformV1SuggestTrialsRequest
Request message for VizierService.SuggestTrials.
GoogleCloudAiplatformV1SyncFeatureViewResponse
Respose message for FeatureOnlineStoreAdminService.SyncFeatureView.
GoogleCloudAiplatformV1Tensor
A tensor value type.
GoogleCloudAiplatformV1Tensorboard
Tensorboard is a physical database that stores users' training metrics.
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.
GoogleCloudAiplatformV1TFRecordDestination
The storage details for TFRecord output content.
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.
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.
GoogleCloudAiplatformV1TrainingConfig
CMLE training config.
GoogleCloudAiplatformV1TrainingPipeline
The TrainingPipeline orchestrates tasks associated with training a Model.
GoogleCloudAiplatformV1Trial
A message representing a Trial.
GoogleCloudAiplatformV1TrialContext
Next ID: 3
GoogleCloudAiplatformV1TrialParameter
A message representing a parameter to be tuned.
GoogleCloudAiplatformV1UndeployIndexRequest
Request message for IndexEndpointService.UndeployIndex.
GoogleCloudAiplatformV1UndeployModelRequest
Request message for EndpointService.UndeployModel.
GoogleCloudAiplatformV1UnmanagedContainerModel
Contains model information necessary to perform batch prediction without requiring a full model import.
GoogleCloudAiplatformV1UpdateExplanationDatasetRequest
Request message for ModelService.UpdateExplanationDataset.
GoogleCloudAiplatformV1UploadModelRequest
Request message for ModelService.UploadModel.
GoogleCloudAiplatformV1UpsertDatapointsRequest
Request message for IndexService.UpsertDatapoints
GoogleCloudAiplatformV1UserActionReference
References an API call.
GoogleCloudAiplatformV1Value
Value is the value of the field.
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.
GoogleCloudAiplatformV1WriteTensorboardExperimentDataRequest
Request message for TensorboardService.WriteTensorboardExperimentData.
GoogleCloudAiplatformV1WriteTensorboardRunDataRequest
Request 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.
GoogleCloudLocationListLocationsResponse
The response message for Locations.ListLocations.
GoogleIamV1Binding
Associates members, or principals, with a role.
GoogleIamV1Policy
An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources.
GoogleIamV1SetIamPolicyRequest
Request message for SetIamPolicy 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.
ProjectsLocationsBatchPredictionJobsResource
ProjectsLocationsCustomJobsOperationsResource
ProjectsLocationsCustomJobsResource
ProjectsLocationsDataLabelingJobsOperationsResource
ProjectsLocationsDataLabelingJobsResource
ProjectsLocationsDatasetsAnnotationSpecsOperationsResource
ProjectsLocationsDatasetsAnnotationSpecsResource
ProjectsLocationsDatasetsDataItemsAnnotationsOperationsResource
ProjectsLocationsDatasetsDataItemsAnnotationsResource
ProjectsLocationsDatasetsDataItemsOperationsResource
ProjectsLocationsDatasetsDataItemsResource
ProjectsLocationsDatasetsDatasetVersionsResource
ProjectsLocationsDatasetsOperationsResource
ProjectsLocationsDatasetsResource
ProjectsLocationsDatasetsSavedQueriesOperationsResource
ProjectsLocationsDatasetsSavedQueriesResource
ProjectsLocationsDeploymentResourcePoolsOperationsResource
ProjectsLocationsDeploymentResourcePoolsResource
ProjectsLocationsEndpointsOperationsResource
ProjectsLocationsEndpointsResource
ProjectsLocationsFeatureGroupsFeaturesOperationsResource
ProjectsLocationsFeatureGroupsFeaturesResource
ProjectsLocationsFeatureGroupsOperationsResource
ProjectsLocationsFeatureGroupsResource
ProjectsLocationsFeatureOnlineStoresFeatureViewsFeatureViewSyncsResource
ProjectsLocationsFeatureOnlineStoresFeatureViewsOperationsResource
ProjectsLocationsFeatureOnlineStoresFeatureViewsResource
ProjectsLocationsFeatureOnlineStoresOperationsResource
ProjectsLocationsFeatureOnlineStoresResource
ProjectsLocationsFeaturestoresEntityTypesFeaturesOperationsResource
ProjectsLocationsFeaturestoresEntityTypesFeaturesResource
ProjectsLocationsFeaturestoresEntityTypesOperationsResource
ProjectsLocationsFeaturestoresEntityTypesResource
ProjectsLocationsFeaturestoresOperationsResource
ProjectsLocationsFeaturestoresResource
ProjectsLocationsHyperparameterTuningJobsOperationsResource
ProjectsLocationsHyperparameterTuningJobsResource
ProjectsLocationsIndexEndpointsOperationsResource
ProjectsLocationsIndexEndpointsResource
ProjectsLocationsIndexesOperationsResource
ProjectsLocationsIndexesResource
ProjectsLocationsMetadataStoresArtifactsOperationsResource
ProjectsLocationsMetadataStoresArtifactsResource
ProjectsLocationsMetadataStoresContextsOperationsResource
ProjectsLocationsMetadataStoresContextsResource
ProjectsLocationsMetadataStoresExecutionsOperationsResource
ProjectsLocationsMetadataStoresExecutionsResource
ProjectsLocationsMetadataStoresMetadataSchemasResource
ProjectsLocationsMetadataStoresOperationsResource
ProjectsLocationsMetadataStoresResource
ProjectsLocationsMigratableResourcesOperationsResource
ProjectsLocationsMigratableResourcesResource
ProjectsLocationsModelDeploymentMonitoringJobsOperationsResource
ProjectsLocationsModelDeploymentMonitoringJobsResource
ProjectsLocationsModelsEvaluationsOperationsResource
ProjectsLocationsModelsEvaluationsResource
ProjectsLocationsModelsEvaluationsSlicesResource
ProjectsLocationsModelsOperationsResource
ProjectsLocationsModelsResource
ProjectsLocationsNasJobsNasTrialDetailsResource
ProjectsLocationsNasJobsResource
ProjectsLocationsNotebookRuntimesResource
ProjectsLocationsNotebookRuntimeTemplatesResource
ProjectsLocationsOperationsResource
ProjectsLocationsPipelineJobsOperationsResource
ProjectsLocationsPipelineJobsResource
ProjectsLocationsPublishersModelsResource
ProjectsLocationsPublishersResource
ProjectsLocationsResource
ProjectsLocationsSchedulesOperationsResource
ProjectsLocationsSchedulesResource
ProjectsLocationsSpecialistPoolsOperationsResource
ProjectsLocationsSpecialistPoolsResource
ProjectsLocationsStudiesOperationsResource
ProjectsLocationsStudiesResource
ProjectsLocationsStudiesTrialsOperationsResource
ProjectsLocationsStudiesTrialsResource
ProjectsLocationsTensorboardsExperimentsOperationsResource
ProjectsLocationsTensorboardsExperimentsResource
ProjectsLocationsTensorboardsExperimentsRunsOperationsResource
ProjectsLocationsTensorboardsExperimentsRunsResource
ProjectsLocationsTensorboardsExperimentsRunsTimeSeriesOperationsResource
ProjectsLocationsTensorboardsExperimentsRunsTimeSeriesResource
ProjectsLocationsTensorboardsOperationsResource
ProjectsLocationsTensorboardsResource
ProjectsLocationsTrainingPipelinesOperationsResource
ProjectsLocationsTrainingPipelinesResource
ProjectsResource
PublishersModelsResource
PublishersResource

Typedefs

GoogleApiHttpBody = $HttpBody
Message that represents an arbitrary HTTP body.
GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsResponse = $Empty
Response message for MetadataService.AddContextArtifactsAndExecutions.
GoogleCloudAiplatformV1AddContextChildrenRequest = $ContextChildrenRequest
Request message for MetadataService.AddContextChildren.
GoogleCloudAiplatformV1AddContextChildrenResponse = $Empty
Response message for MetadataService.AddContextChildren.
GoogleCloudAiplatformV1AddExecutionEventsResponse = $Empty
Response message for MetadataService.AddExecutionEvents.
GoogleCloudAiplatformV1CancelBatchPredictionJobRequest = $Empty
Request message for JobService.CancelBatchPredictionJob.
GoogleCloudAiplatformV1CancelCustomJobRequest = $Empty
Request message for JobService.CancelCustomJob.
GoogleCloudAiplatformV1CancelDataLabelingJobRequest = $Empty
Request message for JobService.CancelDataLabelingJob.
GoogleCloudAiplatformV1CancelHyperparameterTuningJobRequest = $Empty
Request message for JobService.CancelHyperparameterTuningJob.
GoogleCloudAiplatformV1CancelNasJobRequest = $Empty
Request message for JobService.CancelNasJob.
GoogleCloudAiplatformV1CancelPipelineJobRequest = $Empty
Request message for PipelineService.CancelPipelineJob.
GoogleCloudAiplatformV1CancelTrainingPipelineRequest = $Empty
Request message for PipelineService.CancelTrainingPipeline.
GoogleCloudAiplatformV1CheckTrialEarlyStoppingStateRequest = $Empty
Request message for VizierService.CheckTrialEarlyStoppingState.
GoogleCloudAiplatformV1DiskSpec = $Shared04
Represents the spec of disk options.
GoogleCloudAiplatformV1ExportFilterSplit = $FilterSplit
Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored.
GoogleCloudAiplatformV1ExportFractionSplit = $FractionSplit
Assigns the input data to training, validation, and test sets as per the given fractions.
GoogleCloudAiplatformV1FilterSplit = $FilterSplit
Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored.
GoogleCloudAiplatformV1FractionSplit = $FractionSplit
Assigns the input data to training, validation, and test sets as per the given fractions.
GoogleCloudAiplatformV1ListOptimalTrialsRequest = $Empty
Request message for VizierService.ListOptimalTrials.
GoogleCloudAiplatformV1PauseModelDeploymentMonitoringJobRequest = $Empty
Request message for JobService.PauseModelDeploymentMonitoringJob.
GoogleCloudAiplatformV1PauseScheduleRequest = $Empty
Request message for ScheduleService.PauseSchedule.
GoogleCloudAiplatformV1ProbeExecAction = $ExecAction
ExecAction specifies a command to execute.
GoogleCloudAiplatformV1RemoveContextChildrenRequest = $ContextChildrenRequest
Request message for MetadataService.DeleteContextChildrenRequest.
GoogleCloudAiplatformV1RemoveContextChildrenResponse = $Empty
Response message for MetadataService.RemoveContextChildren.
GoogleCloudAiplatformV1RemoveDatapointsResponse = $Empty
Response message for IndexService.RemoveDatapoints
GoogleCloudAiplatformV1ResumeModelDeploymentMonitoringJobRequest = $Empty
Request message for JobService.ResumeModelDeploymentMonitoringJob.
GoogleCloudAiplatformV1StartNotebookRuntimeRequest = $Empty
Request message for NotebookService.StartNotebookRuntime.
GoogleCloudAiplatformV1StopTrialRequest = $Empty
Request message for VizierService.StopTrial.
GoogleCloudAiplatformV1SyncFeatureViewRequest = $Empty
Request message for FeatureOnlineStoreAdminService.SyncFeatureView.
GoogleCloudAiplatformV1UpgradeNotebookRuntimeRequest = $Empty
Request message for NotebookService.UpgradeNotebookRuntime.
GoogleCloudAiplatformV1UpsertDatapointsResponse = $Empty
Response message for IndexService.UpsertDatapoints
GoogleCloudAiplatformV1WriteFeatureValuesResponse = $Empty
Response message for FeaturestoreOnlineServingService.WriteFeatureValues.
GoogleCloudAiplatformV1WriteTensorboardExperimentDataResponse = $Empty
Response message for TensorboardService.WriteTensorboardExperimentData.
GoogleCloudAiplatformV1WriteTensorboardRunDataResponse = $Empty
Response message for TensorboardService.WriteTensorboardRunData.
GoogleCloudLocationLocation = $Location00
A resource that represents a Google Cloud location.
GoogleIamV1TestIamPermissionsResponse = $PermissionsResponse
Response message for TestIamPermissions method.
GoogleProtobufEmpty = $Empty
A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs.
GoogleRpcStatus = $Status
The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs.
GoogleTypeDate = $Date
Represents a whole or partial calendar date, such as a birthday.
GoogleTypeExpr = $Expr
Represents a textual expression in the Common Expression Language (CEL) syntax.
GoogleTypeInterval = $Interval
Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive).
GoogleTypeMoney = $Money
Represents an amount of money with its currency type.

Exceptions / Errors

ApiRequestError
Represents a general error reported by the API endpoint.
DetailedApiRequestError
Represents a specific error reported by the API endpoint.