v2.4.0

2.4.0 (2023-01-25)

Features

• Add enable_dashboard_access in aiplatform v1 and v1beta1 (#460) (685cfed)

Bug Fixes

• deps: Use google-gax v3.5.2 (#458) (9345b15)
• Removing migrated samples (to nodejs-docs-samples) from repo (#555) (0864901)

v2.3.0

2.3.0 (2022-09-21)

Features

• Add deleteFeatureValues in aiplatform v1beta1 featurestore_service.proto (#371) (e1c5cd6)
• Add timestamp_outside_retention_rows_count, RemoveContextChildren, order_by, InputArtifact, read_mask, TransferLearningConfig (#450) (3a3f71f)

Bug Fixes

• Allow passing gax instance to client constructor (#365) (6200e38)
• Preserve default values in x-goog-request-params header (#370) (6860cfd)

v2.2.0

2.2.0 (2022-08-27)

Features

• add a DeploymentResourcePool API resource_definition (fa3c209)
• add DeploymentResourcePool in aiplatform v1beta1 deployment_resource_pool.proto (fa3c209)
• add DeploymentResourcePoolService in aiplatform v1beta1 deployment_resource_pool_service.proto (fa3c209)
• add shared_resources for supported prediction_resources (fa3c209)
• add SHARED_RESOURCES to DeploymentResourcesType in aiplatform v1beta1 model.proto (fa3c209)
• add WriteFeatureValues in aiplatform v1beta1 featurestore_online_service.proto (fa3c209)
• added SHARED_RESOURCES enum to aiplatform v1 model.proto (fa3c209)
• DeploymentResourcePool and DeployementResourcePoolService added to aiplatform v1beta1 model.proto (cl/463147866) (fa3c209)
• making network arg optional in aiplatform v1 custom_job.proto (fa3c209)
• making network arg optional in aiplatform v1beta1 custom_job.proto (fa3c209)
• samples: add entity type apis samples (#339) (5bb18f3)
• samples: add feature apis samples (#340) (90dcec7)
• samples: add feature values apis samples (#341) (4cef015)
• samples: add remaining featurestore api samples (#338) (f136458)

Bug Fixes

• better support for fallback mode (#362) (3786e75)
• change import long to require (#363) (b26381c)
• do not import the whole google-gax from proto JS (#1553) (#366) (1ccaa8d)
• remove pip install statements (#1546) (#364) (275a048)
• use google-gax v3.3.0 (1ccaa8d)

v2.1.0

2.1.0 (2022-07-04)

Features

• add BatchImportModelEvaluationSlices API in aiplatform v1 model_service.proto (0a7e609)
• add ListSavedQueries rpc to aiplatform v1 dataset_service.proto (0a7e609)
• add ListSavedQueries rpc to aiplatform v1beta1 dataset_service.proto (0a7e609)
• add monitor_window to ModelDeploymentMonitoringScheduleConfig proto in aiplatform v1/v1beta1 model_deployment_monitoring_job.proto (0a7e609)
• add saved_query_id to InputDataConfig in aiplatform v1 training_pipeline.proto (0a7e609)
• add saved_query_id to InputDataConfig in aiplatform v1beta1 training_pipeline.proto (0a7e609)
• add saved_query.proto to aiplatform v1 (0a7e609)
• add saved_query.proto to aiplatform v1beta1 (0a7e609)

v2.0.0

2.0.0 (2022-06-23)

⚠ BREAKING CHANGES

• update library to use Node 12 (#304)

Features

• add ConvexAutomatedStoppingSpec to StudySpec in aiplatform v1beta1 study.proto (863748a)
• add display_name and metadata to ModelEvaluation in aiplatform model_evaluation.proto (#297) (1e6dcb6)
• add Examples to Explanation related messages in aiplatform v1beta1 explanation.proto (#307) (c69ac2b)
• add IAM policy to aiplatform_v1beta1.yaml (#308) (6557767)
• add JOB_STATE_UPDATING to JobState in aiplatform v1beta1 job_state.proto (863748a)
• add LatestMonitoringPipelineMetadata to ModelDeploymentMonitoringJob in aiplatform v1beta1 model_deployment_monitoring_job.proto (863748a)
• add ListModelVersion, DeleteModelVersion, and MergeVersionAliases rpcs to aiplatform v1beta1 model_service.proto (863748a)
• add MfsMount in aiplatform v1beta1 machine_resources.proto (863748a)
• add model_id and parent_model to TrainingPipeline in aiplatform v1beta1 training_pipeline.proto (863748a)
• add model_version_id to DeployedModel in aiplatform v1beta1 endpoint.proto (863748a)
• add model_version_id to PredictResponse in aiplatform v1beta1 prediction_service.proto (863748a)
• add model_version_id to UploadModelRequest and UploadModelResponse in aiplatform v1beta1 model_service.proto (863748a)
• add nfs_mounts to WorkPoolSpec in aiplatform v1beta1 custom_job.proto (863748a)
• add PredictRequestResponseLoggingConfig to aiplatform v1beta1 endpoint.proto (863748a)
• add reserved_ip_ranges to CustomJobSpec in aiplatform v1 custom_job.proto (#286) (863748a)
• add reserved_ip_ranges to CustomJobSpec in aiplatform v1beta1 custom_job.proto (863748a)
• add version_id to Model in aiplatform v1beta1 model.proto (863748a)
• rename Similarity to Examples, and similarity to examples in ExplanationParameters in aiplatform v1beta1 explanation.proto (863748a)
• samples: add create-featurestore samples (#317) (5876d81)

Bug Fixes

• added retries to flaky test (#299) (ffc9a3f)

Build System

• update library to use Node 12 (#304) (0679cda)

v1.19.0

1.19.0 (2022-03-24)

Features

• add data_item_schema_uri, annotation_schema_uri, explanation_specs to ModelEvaluationExplanationSpec in aiplatform v1 model_evaluation.proto (b769264)
• add ImportModelEvaluation in aiplatform v1 model_service.proto (#280) (b769264)
• add ImportModelEvaluation in aiplatform v1beta1 model_service.proto (b769264)

v1.18.0

1.18.0 (2022-03-17)

Features

• add service_account to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto (#278) (1f05428)

v1.17.0

1.17.0 (2022-03-14)

Features

• add monitoring_config to EntityType in aiplatform v1 entity_type.proto (#277) (d9b8b06)
• add PredictRequestResponseLoggingConfig to Endpoint in aiplatform v1 endpoint.proto (#275) (3e5dc67)

v1.16.0

1.16.0 (2022-02-22)

Features

• add TPU_V2 & TPU_V3 values to AcceleratorType in aiplatform v1/v1beta1 accelerator_type.proto (#269) (6e9290f)

v1.15.0

1.15.0 (2022-02-08)

Features

• add dedicated_resources to DeployedIndex in aiplatform v1beta1 index_endpoint.proto feat: add Scaling to OnlineServingConfig in aiplatform v1beta1 featurestore.proto chore: sort imports (#262) (f3e31ec)
• add dedicated_resources to DeployedIndex message in aiplatform v1 index_endpoint.proto chore: sort imports (#261) (8f7e61e)