Changes

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

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

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.