Changes

1.36.1 (2023-03-22)

Bug Fixes

• aiplatform: Remove large_model_reference from Model in aiplatform v1beta1 model.proto (#7582) (4497130)

1.36.0 (2023-03-15)

Features

• aiplatform: Add disable_container_logging to BatchPredictionJob in aiplatform v1,v1beta1 batch_prediction_job.proto (8c98464)
• aiplatform: Add evaluated_annotation.proto to aiplatform v1beta1 (8c98464)
• aiplatform: Add split to ExportDataConfig in aiplatform v1 dataset.proto (8c98464)

1.35.0 (2023-02-22)

Features

• aiplatform: Add match service in aiplatform v1beta1 match_service.proto (932ddc8)

1.34.0 (2023-02-14)

Features

• aiplatform: Add disable_explanations to DeployedModel in aiplatform v1beta1 endpoint.proto (4623db8)
• aiplatform: Add service_networking.proto to aiplatform v1 (4623db8)

1.33.0 (2023-01-26)

Features

• aiplatform/apiv1beta1: Add REST transport (f7b0822)
• aiplatform: Add annotation_labels to ImportDataConfig in aiplatform v1 dataset.proto feat: add start_time to BatchReadFeatureValuesRequest in aiplatform v1 featurestore_service.proto feat: add metadata_artifact to Model in aiplatform v1 model.proto feat: add failed_main_jobs and failed_pre_caching_check_jobs to ContainerDetail in aiplatform v1 pipeline_job.proto feat: add persist_ml_use_assignment to InputDataConfig in aiplatform v1 training_pipeline.proto (9c5d6c8)
• aiplatform: Add deleteFeatureValues in aiplatform v1beta1 featurestore_service.proto (bc7a5f6)
• aiplatform: Add DeploymentResourcePool in aiplatform v1beta1 deployment_resource_pool.proto feat: add DeploymentResourcePoolService in aiplatform v1beta1 deployment_resource_pool_service.proto feat: add SHARED_RESOURCES to DeploymentResourcesType in aiplatform v1beta1 model.proto (1d6fbcc)
• aiplatform: Add enable_dashboard_access in aiplatform v1 and v1beta1 custom_job.proto (447afdd)
• aiplatform: Add instance_config to batch_prediction_job in aiplatform v1beta1 batch_prediction_job.proto (2b4957c)
• aiplatform: Add instance_config to BatchPredictionJob in aiplatform v1 batch_prediction_job.proto (ee41485)
• aiplatform: Add metadata_artifact to Dataset in aiplatform v1 dataset.proto feat: add WriteFeatureValues rpc to FeaturestoreOnlineServingService in aiplatform v1 featurestore_online_service.proto (7231644)
• aiplatform: Add metadata_artifact to Dataset in aiplatform v1beta1 dataset.proto feat: add offline_storage_ttl_days to EntityType in aiplatform v1beta1 entity_type.proto feat: add online_storage_ttl_days to Featurestore in aiplatform v1beta1 featurestore.proto feat: add source_uris to ImportFeatureValuesOperationMetadata in aiplatform v1beta1 featurestore_service.proto (7231644)
• aiplatform: Add model_monitoring_stats_anomalies,model_monitoring_status to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto (e45ad9a)
• aiplatform: Add model_source_info to Model in aiplatform v1 model.proto (52dddd1)
• aiplatform: Add model_source_info to Model in aiplatform v1beta1 model.proto (52dddd1)
• aiplatform: Add NVIDIA_A100_80GB to AcceleratorType in aiplatform v1beta1 accelerator_type.proto feat: add annotation_labels to ImportDataConfig in aiplatform v1beta1 dataset.proto feat: add total_deployed_model_count and total_endpoint_count to QueryDeployedModelsResponse in aiplatform v1beta1 deployment_resource_pool_service.proto feat: add start_time to BatchReadFeatureValuesRequest in aiplatform v1beta1 featurestore_service.proto feat: add metadata_artifact to Model in aiplatform v1beta1 model.proto feat: add failed_main_jobs and failed_pre_caching_check_jobs to ContainerDetail in aiplatform v1beta1 pipeline_job.proto feat: add persist_ml_use_assignment to InputDataConfig in aiplatform v1beta1 training_pipeline.proto (9c5d6c8)
• aiplatform: Add read_mask to ListPipelineJobsRequest in aiplatform v1 pipeline_service feat: add input_artifacts to PipelineJob.runtime_config in aiplatform v1 pipeline_job (3bc37e2)
• aiplatform: Add REST client (06a54a1)
• aiplatform: Add saved_queries to Dataset in aiplatform v1 dataset.proto feat: add order_by to ListModelVersionRequest in aiplatform v1 model_service.proto feat: add update_all_stopped_trials to ConvexAutomatedStoppingSpec in aiplatform v1 study.proto feat: add ReadTensorboardUsage rpc in aiplatform v1 tensorboard_service.proto (ee41485)
• aiplatform: Add saved_queries to Dataset in aiplatform v1beta1 dataset.proto feat: add order_by to ListModelVersionRequest in aiplatform v1beta1 model_service.proto feat: add update_all_stopped_trials to ConvexAutomatedStoppingSpec in aiplatform v1beta1 study.proto feat: add ReadTensorboardUsage rpc in aiplatform v1beta1 tensorboard_service.proto (ee41485)
• aiplatform: Add service_account to batch_prediction_job in aiplatform v1 batch_prediction_job.proto (ac0c5c2)
• aiplatform: Add timestamp_outside_retention_rows_count to ImportFeatureValuesResponse and ImportFeatureValuesOperationMetadata in aiplatform v1 featurestore_service.proto feat: add RemoveContextChildren rpc to aiplatform v1 metadata_service.proto feat: add order_by to ListArtifactsRequest, ListContextsRequest, and ListExecutionsRequest in aiplatform v1 metadata_service.proto (52dddd1)
• aiplatform: Add timestamp_outside_retention_rows_count to ImportFeatureValuesResponse and ImportFeatureValuesOperationMetadata in aiplatform v1beta1 featurestore_service.proto feat: add RemoveContextChildren rpc to aiplatform v1beta1 metadata_service.proto feat: add order_by to ListArtifactsRequest, ListContextsRequest, and ListExecutionsRequest in aiplatform v1beta1 metadata_service.proto feat: add InputArtifact to RuntimeConfig in aiplatform v1beta1 pipeline_job.proto feat: add read_mask to ListPipelineJobsRequest in aiplatform v1beta1 pipeline_service.proto feat: add TransferLearningConfig in aiplatform v1beta1 study.proto (52dddd1)
• aiplatform: Add UpsertDatapoints and RemoveDatapoints rpcs to IndexService in aiplatform v1 index_service.proto (204b856)
• aiplatform: Add UpsertDatapoints and RemoveDatapoints rpcs to IndexService in aiplatform v1beta1 index_service.proto (204b856)
• aiplatform: Add WriteFeatureValues in aiplatform v1beta1 featurestore_online_service.proto (370e23e)
• aiplatform: Making network arg optional in aiplatform v1 custom_job.proto feat: added SHARED_RESOURCES enum to aiplatform v1 model.proto docs: doc edits to aiplatform v1 dataset_service.proto, job_service.proto, model_service.proto, pipeline_service.proto, saved_query.proto, study.proto, types.proto (1d6fbcc)
• aiplatform: Making network arg optional in aiplatform v1beta1 custom_job.proto feat: DeploymentResourcePool and DeployementResourcePoolService added to aiplatform v1beta1 model.proto (cl/463147866) docs: doc edits to aiplatform v1beta1 job_service.proto, model_service.proto, pipeline_service.proto, saved_query.proto, study.proto, types.proto (1d6fbcc)
• aiplatform: Rewrite beta methods in terms of new stub location (#6735) (095cafd)
• aiplatform: Rewrite signatures and type in terms of new location (620e6d8)
• aiplatform: Start generating stubs dir (5d0b405)
• aiplatform: Start generating stubs for beta (#6723) (71f5ab9)

1.32.0 (2023-01-26)

Features

• aiplatform/apiv1beta1: Add REST transport (f7b0822)
• aiplatform: Add annotation_labels to ImportDataConfig in aiplatform v1 dataset.proto feat: add start_time to BatchReadFeatureValuesRequest in aiplatform v1 featurestore_service.proto feat: add metadata_artifact to Model in aiplatform v1 model.proto feat: add failed_main_jobs and failed_pre_caching_check_jobs to ContainerDetail in aiplatform v1 pipeline_job.proto feat: add persist_ml_use_assignment to InputDataConfig in aiplatform v1 training_pipeline.proto (9c5d6c8)
• aiplatform: Add deleteFeatureValues in aiplatform v1beta1 featurestore_service.proto (bc7a5f6)
• aiplatform: Add DeploymentResourcePool in aiplatform v1beta1 deployment_resource_pool.proto feat: add DeploymentResourcePoolService in aiplatform v1beta1 deployment_resource_pool_service.proto feat: add SHARED_RESOURCES to DeploymentResourcesType in aiplatform v1beta1 model.proto (1d6fbcc)
• aiplatform: Add enable_dashboard_access in aiplatform v1 and v1beta1 custom_job.proto (447afdd)
• aiplatform: Add instance_config to batch_prediction_job in aiplatform v1beta1 batch_prediction_job.proto (2b4957c)
• aiplatform: Add instance_config to BatchPredictionJob in aiplatform v1 batch_prediction_job.proto (ee41485)
• aiplatform: Add metadata_artifact to Dataset in aiplatform v1 dataset.proto feat: add WriteFeatureValues rpc to FeaturestoreOnlineServingService in aiplatform v1 featurestore_online_service.proto (7231644)
• aiplatform: Add metadata_artifact to Dataset in aiplatform v1beta1 dataset.proto feat: add offline_storage_ttl_days to EntityType in aiplatform v1beta1 entity_type.proto feat: add online_storage_ttl_days to Featurestore in aiplatform v1beta1 featurestore.proto feat: add source_uris to ImportFeatureValuesOperationMetadata in aiplatform v1beta1 featurestore_service.proto (7231644)
• aiplatform: Add model_monitoring_stats_anomalies,model_monitoring_status to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto (e45ad9a)
• aiplatform: Add model_source_info to Model in aiplatform v1 model.proto (52dddd1)
• aiplatform: Add model_source_info to Model in aiplatform v1beta1 model.proto (52dddd1)
• aiplatform: Add NVIDIA_A100_80GB to AcceleratorType in aiplatform v1beta1 accelerator_type.proto feat: add annotation_labels to ImportDataConfig in aiplatform v1beta1 dataset.proto feat: add total_deployed_model_count and total_endpoint_count to QueryDeployedModelsResponse in aiplatform v1beta1 deployment_resource_pool_service.proto feat: add start_time to BatchReadFeatureValuesRequest in aiplatform v1beta1 featurestore_service.proto feat: add metadata_artifact to Model in aiplatform v1beta1 model.proto feat: add failed_main_jobs and failed_pre_caching_check_jobs to ContainerDetail in aiplatform v1beta1 pipeline_job.proto feat: add persist_ml_use_assignment to InputDataConfig in aiplatform v1beta1 training_pipeline.proto (9c5d6c8)
• aiplatform: Add read_mask to ListPipelineJobsRequest in aiplatform v1 pipeline_service feat: add input_artifacts to PipelineJob.runtime_config in aiplatform v1 pipeline_job (3bc37e2)
• aiplatform: Add REST client (06a54a1)
• aiplatform: Add saved_queries to Dataset in aiplatform v1 dataset.proto feat: add order_by to ListModelVersionRequest in aiplatform v1 model_service.proto feat: add update_all_stopped_trials to ConvexAutomatedStoppingSpec in aiplatform v1 study.proto feat: add ReadTensorboardUsage rpc in aiplatform v1 tensorboard_service.proto (ee41485)
• aiplatform: Add saved_queries to Dataset in aiplatform v1beta1 dataset.proto feat: add order_by to ListModelVersionRequest in aiplatform v1beta1 model_service.proto feat: add update_all_stopped_trials to ConvexAutomatedStoppingSpec in aiplatform v1beta1 study.proto feat: add ReadTensorboardUsage rpc in aiplatform v1beta1 tensorboard_service.proto (ee41485)
• aiplatform: Add service_account to batch_prediction_job in aiplatform v1 batch_prediction_job.proto (ac0c5c2)
• aiplatform: Add timestamp_outside_retention_rows_count to ImportFeatureValuesResponse and ImportFeatureValuesOperationMetadata in aiplatform v1 featurestore_service.proto feat: add RemoveContextChildren rpc to aiplatform v1 metadata_service.proto feat: add order_by to ListArtifactsRequest, ListContextsRequest, and ListExecutionsRequest in aiplatform v1 metadata_service.proto (52dddd1)
• aiplatform: Add timestamp_outside_retention_rows_count to ImportFeatureValuesResponse and ImportFeatureValuesOperationMetadata in aiplatform v1beta1 featurestore_service.proto feat: add RemoveContextChildren rpc to aiplatform v1beta1 metadata_service.proto feat: add order_by to ListArtifactsRequest, ListContextsRequest, and ListExecutionsRequest in aiplatform v1beta1 metadata_service.proto feat: add InputArtifact to RuntimeConfig in aiplatform v1beta1 pipeline_job.proto feat: add read_mask to ListPipelineJobsRequest in aiplatform v1beta1 pipeline_service.proto feat: add TransferLearningConfig in aiplatform v1beta1 study.proto (52dddd1)
• aiplatform: Add UpsertDatapoints and RemoveDatapoints rpcs to IndexService in aiplatform v1 index_service.proto (204b856)
• aiplatform: Add UpsertDatapoints and RemoveDatapoints rpcs to IndexService in aiplatform v1beta1 index_service.proto (204b856)
• aiplatform: Add WriteFeatureValues in aiplatform v1beta1 featurestore_online_service.proto (370e23e)
• aiplatform: Making network arg optional in aiplatform v1 custom_job.proto feat: added SHARED_RESOURCES enum to aiplatform v1 model.proto docs: doc edits to aiplatform v1 dataset_service.proto, job_service.proto, model_service.proto, pipeline_service.proto, saved_query.proto, study.proto, types.proto (1d6fbcc)
• aiplatform: Making network arg optional in aiplatform v1beta1 custom_job.proto feat: DeploymentResourcePool and DeployementResourcePoolService added to aiplatform v1beta1 model.proto (cl/463147866) docs: doc edits to aiplatform v1beta1 job_service.proto, model_service.proto, pipeline_service.proto, saved_query.proto, study.proto, types.proto (1d6fbcc)
• aiplatform: Rewrite beta methods in terms of new stub location (#6735) (095cafd)
• aiplatform: Rewrite signatures and type in terms of new location (620e6d8)
• aiplatform: Start generating stubs dir (5d0b405)
• aiplatform: Start generating stubs for beta (#6723) (71f5ab9)

1.31.0 (2023-01-26)

Features

• aiplatform: Add enable_dashboard_access in aiplatform v1 and v1beta1 custom_job.proto (447afdd)

1.30.0 (2023-01-18)

Features

• aiplatform: Add instance_config to BatchPredictionJob in aiplatform v1 batch_prediction_job.proto (ee41485)
• aiplatform: Add saved_queries to Dataset in aiplatform v1 dataset.proto feat: add order_by to ListModelVersionRequest in aiplatform v1 model_service.proto feat: add update_all_stopped_trials to ConvexAutomatedStoppingSpec in aiplatform v1 study.proto feat: add ReadTensorboardUsage rpc in aiplatform v1 tensorboard_service.proto (ee41485)
• aiplatform: Add saved_queries to Dataset in aiplatform v1beta1 dataset.proto feat: add order_by to ListModelVersionRequest in aiplatform v1beta1 model_service.proto feat: add update_all_stopped_trials to ConvexAutomatedStoppingSpec in aiplatform v1beta1 study.proto feat: add ReadTensorboardUsage rpc in aiplatform v1beta1 tensorboard_service.proto (ee41485)

1.29.0 (2023-01-04)

Features

• aiplatform: Add REST client (06a54a1)

1.28.0 (2022-12-05)

Features

• aiplatform: rewrite signatures and type in terms of new location (620e6d8)

1.27.0 (2022-12-01)

Features

• aiplatform: add metadata_artifact to Dataset in aiplatform v1 dataset.proto feat: add WriteFeatureValues rpc to FeaturestoreOnlineServingService in aiplatform v1 featurestore_online_service.proto (7231644)
• aiplatform: add metadata_artifact to Dataset in aiplatform v1beta1 dataset.proto feat: add offline_storage_ttl_days to EntityType in aiplatform v1beta1 entity_type.proto feat: add online_storage_ttl_days to Featurestore in aiplatform v1beta1 featurestore.proto feat: add source_uris to ImportFeatureValuesOperationMetadata in aiplatform v1beta1 featurestore_service.proto (7231644)
• aiplatform: start generating stubs dir (5d0b405)

1.26.0 (2022-11-16)

Features

• aiplatform: add instance_config to batch_prediction_job in aiplatform v1beta1 batch_prediction_job.proto (2b4957c)
• aiplatform: add service_account to batch_prediction_job in aiplatform v1 batch_prediction_job.proto (ac0c5c2)

1.25.0 (2022-11-09)

Features

• aiplatform: add annotation_labels to ImportDataConfig in aiplatform v1 dataset.proto feat: add start_time to BatchReadFeatureValuesRequest in aiplatform v1 featurestore_service.proto feat: add metadata_artifact to Model in aiplatform v1 model.proto feat: add failed_main_jobs and failed_pre_caching_check_jobs to ContainerDetail in aiplatform v1 pipeline_job.proto feat: add persist_ml_use_assignment to InputDataConfig in aiplatform v1 training_pipeline.proto (9c5d6c8)
• aiplatform: add NVIDIA_A100_80GB to AcceleratorType in aiplatform v1beta1 accelerator_type.proto feat: add annotation_labels to ImportDataConfig in aiplatform v1beta1 dataset.proto feat: add total_deployed_model_count and total_endpoint_count to QueryDeployedModelsResponse in aiplatform v1beta1 deployment_resource_pool_service.proto feat: add start_time to BatchReadFeatureValuesRequest in aiplatform v1beta1 featurestore_service.proto feat: add metadata_artifact to Model in aiplatform v1beta1 model.proto feat: add failed_main_jobs and failed_pre_caching_check_jobs to ContainerDetail in aiplatform v1beta1 pipeline_job.proto feat: add persist_ml_use_assignment to InputDataConfig in aiplatform v1beta1 training_pipeline.proto (9c5d6c8)

1.24.0 (2022-09-28)

Features

• aiplatform: add model_source_info to Model in aiplatform v1 model.proto (52dddd1)
• aiplatform: add model_source_info to Model in aiplatform v1beta1 model.proto (52dddd1)
• aiplatform: add timestamp_outside_retention_rows_count to ImportFeatureValuesResponse and ImportFeatureValuesOperationMetadata in aiplatform v1 featurestore_service.proto feat: add RemoveContextChildren rpc to aiplatform v1 metadata_service.proto feat: add order_by to ListArtifactsRequest, ListContextsRequest, and ListExecutionsRequest in aiplatform v1 metadata_service.proto (52dddd1)
• aiplatform: add timestamp_outside_retention_rows_count to ImportFeatureValuesResponse and ImportFeatureValuesOperationMetadata in aiplatform v1beta1 featurestore_service.proto feat: add RemoveContextChildren rpc to aiplatform v1beta1 metadata_service.proto feat: add order_by to ListArtifactsRequest, ListContextsRequest, and ListExecutionsRequest in aiplatform v1beta1 metadata_service.proto feat: add InputArtifact to RuntimeConfig in aiplatform v1beta1 pipeline_job.proto feat: add read_mask to ListPipelineJobsRequest in aiplatform v1beta1 pipeline_service.proto feat: add TransferLearningConfig in aiplatform v1beta1 study.proto (52dddd1)

1.23.0 (2022-09-26)

Features

• aiplatform: Rewrite beta methods in terms of new stub location (#6735) (095cafd)

1.22.0 (2022-09-22)

Features

• aiplatform: Start generating stubs for beta (#6723) (71f5ab9)

1.21.0 (2022-09-19)

Features

• aiplatform: add deleteFeatureValues in aiplatform v1beta1 featurestore_service.proto (bc7a5f6)

1.20.0 (2022-09-15)

Features

• aiplatform/apiv1beta1: add REST transport (f7b0822)

1.19.0 (2022-09-08)

Features

• aiplatform: add model_monitoring_stats_anomalies,model_monitoring_status to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto (e45ad9a)

1.18.0 (2022-09-06)

Features

• aiplatform: add read_mask to ListPipelineJobsRequest in aiplatform v1 pipeline_service feat: add input_artifacts to PipelineJob.runtime_config in aiplatform v1 pipeline_job (3bc37e2)
• aiplatform: add UpsertDatapoints and RemoveDatapoints rpcs to IndexService in aiplatform v1 index_service.proto (204b856)
• aiplatform: add UpsertDatapoints and RemoveDatapoints rpcs to IndexService in aiplatform v1beta1 index_service.proto (204b856)

1.17.0 (2022-08-18)

Features

• aiplatform: add WriteFeatureValues in aiplatform v1beta1 featurestore_online_service.proto (370e23e)

1.16.0 (2022-08-02)

Features

• aiplatform: add DeploymentResourcePool in aiplatform v1beta1 deployment_resource_pool.proto feat: add DeploymentResourcePoolService in aiplatform v1beta1 deployment_resource_pool_service.proto feat: add SHARED_RESOURCES to DeploymentResourcesType in aiplatform v1beta1 model.proto (1d6fbcc)
• aiplatform: making network arg optional in aiplatform v1 custom_job.proto feat: added SHARED_RESOURCES enum to aiplatform v1 model.proto docs: doc edits to aiplatform v1 dataset_service.proto, job_service.proto, model_service.proto, pipeline_service.proto, saved_query.proto, study.proto, types.proto (1d6fbcc)
• aiplatform: making network arg optional in aiplatform v1beta1 custom_job.proto feat: DeploymentResourcePool and DeployementResourcePoolService added to aiplatform v1beta1 model.proto (cl/463147866) docs: doc edits to aiplatform v1beta1 job_service.proto, model_service.proto, pipeline_service.proto, saved_query.proto, study.proto, types.proto (1d6fbcc)

1.15.0 (2022-07-26)

Features

• aiplatform: add a DeploymentResourcePool API resource_definition feat: add shared_resources for supported prediction_resources (8a8ba85)

1.14.0 (2022-06-29)

Features

• aiplatform: add BatchImportModelEvaluationSlices API in aiplatform v1 model_service.proto (f01bf32)
• aiplatform: add BatchImportModelEvaluationSlices API in aiplatform v1beta1 model_service.proto (f01bf32)
• aiplatform: add ListSavedQueries rpc to aiplatform v1 dataset_service.proto feat: add saved_query.proto to aiplatform v1 feat: add saved_query_id to InputDataConfig in aiplatform v1 training_pipeline.proto (350e276)
• aiplatform: add ListSavedQueries rpc to aiplatform v1beta1 dataset_service.proto feat: add saved_query.proto to aiplatform v1beta1 feat: add saved_query_id to InputDataConfig in aiplatform v1beta1 training_pipeline.proto (350e276)
• aiplatform: add model_monitoring_config to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto (5fe3b1d)
• aiplatform: add model_version_id to BatchPredictionJob in aiplatform v1 batch_prediction_job.proto (f01bf32)

1.13.0 (2022-06-17)

Features

• aiplatform: add model_version_id to UploadModelResponse in aiplatform v1 model_service.proto (c84e111)

1.12.0 (2022-06-16)

Features

• aiplatform: add default_skew_threshold to TrainingPredictionSkewDetectionConfig in aiplatform v1beta1, v1 model_monitoring.proto (5e46068)
• aiplatform: add env to ContainerSpec in aiplatform v1beta1 custom_job.proto (90489b1)
• aiplatform: add monitor_window to ModelDeploymentMonitoringScheduleConfig proto in aiplatform v1/v1beta1 model_deployment_monitoring_job.proto (4134941)
• aiplatform: add successful_forecast_point_count to CompletionStats in aiplatform v1 completion_stats.proto feat: add neighbors to Explanation in aiplatform v1 explanation.proto feat: add examples_override to ExplanationSpecOverride in aiplatform v1 explanation.proto feat: add version_id, version_aliases, version_create_time, version_update_time, and version_description to aiplatform v1 model.proto feat: add ModelVersion CRUD methods in aiplatform v1 model_service.proto feat: add model_id and parent_model to TrainingPipeline in aiplatform v1 training_pipeline.proto (90489b1)
• aiplatform: Include the location and iam_policy mixin clients (90489b1)

1.11.0 (2022-06-01)

Features

• aiplatform: add failure_policy to PipelineJob in aiplatform v1 & v1beta1 pipeline_job.proto (46c16f1)
• aiplatform: add IAM policy to aiplatform_v1beta1.yaml feat: add preset configuration for example-based explanations in aiplatform v1beta1 explanation.proto feat: add latent_space_source to ExplanationMetadata in aiplatform v1beta1 explanation_metadata.proto feat: add successful_forecast_point_count to CompletionStats in completion_stats.proto (46c16f1)
• aiplatform: add latent_space_source to ExplanationMetadata in aiplatform v1 explanation_metadata.proto feat: add scaling to OnlineServingConfig in aiplatform v1 featurestore.proto feat: add template_metadata to PipelineJob in aiplatform v1 pipeline_job.proto (46c16f1)

1.10.0 (2022-05-24)

Features

• aiplatform: add display_name and metadata to ModelEvaluation in aiplatform model_evaluation.proto (6ef576e)
• aiplatform: add Examples to Explanation related messages in aiplatform v1beta1 explanation.proto (da99e5f)
• aiplatform: add template_metadata to PipelineJob in aiplatform v1beta1 pipeline_job.proto (6ef576e)

1.9.0 (2022-04-20)

⚠ BREAKING CHANGES

• aiplatform: (php) remove several REQUIRED field annotations in featurestore.proto, metadata.proto, and pipeline_job.proto
• aiplatform: (php) remove several REQUIRED field annotations in featurestore.proto, metadata.proto, and pipeline_job.proto

Features

• aiplatform: add reserved_ip_ranges to CustomJobSpec in aiplatform v1 custom_job.proto feat: add nfs_mounts to WorkPoolSpec in aiplatform v1 custom_job.proto feat: add JOB_STATE_UPDATING to JobState in aiplatform v1 job_state.proto feat: add MfsMount in aiplatform v1 machine_resources.proto feat: add ConvexAutomatedStoppingSpec to StudySpec in aiplatform v1 study.proto (e71a99d)
• aiplatform: rename Similarity to Examples, and similarity to examples in ExplanationParameters in aiplatform v1beta1 explanation.proto feat: add reserved_ip_ranges to CustomJobSpec in aiplatform v1beta1 custom_job.proto feat: add nfs_mounts to WorkPoolSpec in aiplatform v1beta1 custom_job.proto feat: add PredictRequestResponseLoggingConfig to aiplatform v1beta1 endpoint.proto feat: add model_version_id to DeployedModel in aiplatform v1beta1 endpoint.proto feat: add JOB_STATE_UPDATING to JobState in aiplatform v1beta1 job_state.proto feat: add MfsMount in aiplatform v1beta1 machine_resources.proto feat: add version_id to Model in aiplatform v1beta1 model.proto feat: add LatestMonitoringPipelineMetadata to ModelDeploymentMonitoringJob in aiplatform v1beta1 model_deployment_monitoring_job.proto feat: add ListModelVersion, DeleteModelVersion, and MergeVersionAliases rpcs to aiplatform v1beta1 model_service.proto feat: add model_version_id to UploadModelRequest and UploadModelResponse in aiplatform v1beta1 model_service.proto feat: add model_version_id to PredictResponse in aiplatform v1beta1 prediction_service.proto feat: add ConvexAutomatedStoppingSpec to StudySpec in aiplatform v1beta1 study.proto feat: add model_id and parent_model to TrainingPipeline in aiplatform v1beta1 training_pipeline.proto (e71a99d)

Miscellaneous Chores

• aiplatform: release 1.9.0 (#5921) (a1a59ce)

1.8.0 (2022-04-06)

Features

• aiplatform: add ImportModelEvaluation in aiplatform v1 model_service.proto feat: add data_item_schema_uri, annotation_schema_uri, explanation_specs to ModelEvaluationExplanationSpec in aiplatform v1 model_evaluation.proto (21a3cce)

1.7.0 (2022-03-28)

Features

• aiplatform: add service_account to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto (b01c037)
• aiplatform: add monitoring_config to EntityType in aiplatform v1 entity_type.proto feat: add disable_monitoring to Feature in aiplatform v1 feature.proto feat: add monitoring_stats_anomalies to Feature in aiplatform v1 feature.proto feat: add staleness_days to SnapshotAnalysis in aiplatform v1 featurestore_monitoring.proto feat: add import_features_analysis to FeaturestoreMonitoringConfig in aiplatform v1 featurestore_monitoring.proto feat: add numerical_threshold_config to FeaturestoreMonitoringConfig in aiplatform v1 featurestore_monitoring.proto feat: add categorical_threshold_config to FeaturestoreMonitoringConfig in aiplatform v1 featurestore_monitoring.proto feat: add objective to MonitoringStatsSpec in aiplatform v1 featurestore_service.proto (c19b7a2)

1.6.0 (2022-03-14)

Features

• aiplatform: start generating apiv1beta1 (#5738) (a213bff), refs #5737

1.5.0 (2022-02-23)

Features

• aiplatform: set versionClient to module version (55f0d92)

1.4.0 (2022-02-14)

Features

• aiplatform: add file for tracking version (17b36ea)

1.3.0 (2022-02-03)

Features

• aiplatform: add dedicated_resources to DeployedIndex message in aiplatform v1 index_endpoint.proto chore: sort imports (6e56077)

1.2.0 (2022-01-04)

Features

• aiplatform: add enable_private_service_connect field to Endpoint feat: add id field to DeployedModel feat: add service_attachment field to PrivateEndpoints feat: add endpoint_id to CreateEndpointRequest and method signature to CreateEndpoint feat: add method signature to CreateFeatureStore, CreateEntityType, CreateFeature feat: add network and enable_private_service_connect to IndexEndpoint feat: add service_attachment to IndexPrivateEndpoints feat: add stratified_split field to training_pipeline InputDataConfig (a2c0bef)
• aiplatform: Adds support for google.protobuf.Value pipeline parameters in the parameter_values field (88a1cdb)
• aiplatform: Tensorboard v1 protos release feat:Exposing a field for v1 CustomJob-Tensorboard integration. (90e2868)

1.1.1 (2021-11-02)

Bug Fixes

• aiplatform: Remove invalid resource annotations (587bba5)

1.1.0 (2021-10-18)

Features

• aiplatform: add featurestore service to aiplatform v1 feat: add metadata service to aiplatform v1 (30794e7)
• aiplatform: add vizier service to aiplatform v1 BUILD.bazel (12928d4)

1.0.0

Stabilize GA surface.

0.2.0 (2021-09-09)

Features

• aiplatform: add Vizier service to aiplatform v1 (33e4d89)
• aiplatform: add XAI, model monitoring, and index services to aiplatform v1 (e385b40)

v0.1.0

This is the first tag to carve out aiplatform as its own module. See Add a module to a multi-module repository.