Google Cloud Client Libraries for Rust - Vertex AI API

WARNING: this crate is under active development. We expect multiple breaking changes in the upcoming releases. Testing is also incomplete, we do not recommend that you use this crate in production. We welcome feedback about the APIs, documentation, missing features, bugs, etc.

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

Quickstart

The main types to work with this crate are the clients:

• DatasetService
• DeploymentResourcePoolService
• EndpointService
• EvaluationService
• FeatureOnlineStoreAdminService
• FeatureOnlineStoreService
• FeatureRegistryService
• FeaturestoreOnlineServingService
• FeaturestoreService
• GenAiCacheService
• GenAiTuningService
• IndexEndpointService
• IndexService
• JobService
• LlmUtilityService
• MatchService
• MetadataService
• MigrationService
• ModelGardenService
• ModelService
• NotebookService
• PersistentResourceService
• PipelineService
• PredictionService
• ReasoningEngineExecutionService
• ReasoningEngineService
• ScheduleService
• SpecialistPoolService
• TensorboardService
• VertexRagDataService
• VertexRagService
• VizierService

More Information

• Read the crate's documentation