Changes
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
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.