v1.18.1

1.18.1 (2022-10-10)

Bug Fixes

• deps: Allow protobuf 3.19.5 (#1720) (83e3b7c)

v1.18.0

1.18.0 (2022-10-03)

Features

• Add deleteFeatureValues in aiplatform v1beta1 featurestore_service.proto (#1670) (9a506ee)
• Add model_source_info to Model in aiplatform v1beta1 model.proto (#1691) (876fb2a)
• Add support for HTTPS URI pipeline templates (#1683) (926d0b6)
• Add support for V1 and V2 classification models for the V1Beta2 API (#1680) (1cda4b4)
• Support complex metrics in Vertex Experiments (#1698) (ed0492e)

Bug Fixes

• deps: Require protobuf >= 3.20.2 (#1699) (c5c77ad)
• Fix endpoint parsing in ModelDeploymentMonitoringJob.update (#1671) (186872d)
• Project/location parsing for nested resources (#1700) (9e1d796)
• Show inherited SDK methods in pydoc (#1707) (2b7583b)

Documentation

• Fix typos (#1709) (5fe515c)

v1.17.1

1.17.1 (2022-09-15)

Features

• Add enable_simple_view to PipelineJob.list() (#1614) (627fdf9)
• Add eval metrics types to get_experiment_df (#1648) (944b03f)
• Adding Python 3.10 support + updating google-vizier version (#1644) (f4766dc)

Miscellaneous Chores

• Release 1.17.1 (#1668) (b54d659)

v1.17.0

1.17.0 (2022-09-07)

Features

• Add input artifact when creating a pipeline (#1593) (2cf9fe6)
• Add model_monitoring_stats_anomalies,model_monitoring_status to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto (#1621) (0a1f4e9)
• Add read_mask to ListPipelineJobsRequest in aiplatform v1 pipeline_service (#1589) (9e19a40)
• Add samples for get execution input and output artifacts (#1585) (eb5a4b6)
• Add support for SDK Method metrics tracking via _USER_AGENT_SDK… (#1591) (28e56ef)
• Support filters in matching engine vector matching (#1608) (d591d3e)
• Support model monitoring for batch prediction in Vertex SDK (#1570) (bbec998)
• Support raw_predict for Endpoint (#1620) (cc7c968)
• Support ResourceName with Version. (#1609) (737dc2b)
• Update the samples of hyperparameter tuning in the public doc (#1600) (653b759)

Bug Fixes

• deps: Allow protobuf < 5.0.0 (#1587) (3d3e0aa)
• deps: require proto-plus >= 1.22.0 (3d3e0aa)
• Log_metrics docstring error (#1588) (0385c4c)
• Study.list() method (#1594) (47eb0ae)
• Update Model.list_model_evaluations and get_model_evaluation to use the provided version (#1616) (8fb836b)

Documentation

• ExperimentRun docstring and end_run kwarg (#1649) (075a6c2)
• Remove TODOs from docs (#1513) (406ed84)
• samples: Add AutoML image classification sample (#923) (677b311)
• samples: Add Model Registry samples to Vertex AI Python SDK (#1602) (72fd36d)
• samples: Added seq2seq sample (#1595) (4e7175f)

v1.16.1

1.16.1 (2022-08-02)

Features

• Add google.ClassificationMetrics, google.RegressionMetrics, and google.Forecasting Metrics (#1549) (3526b3e)
• added support for conditional parameters in hyperparameter tuning (#1544) (744cc38)
• SDK support for model monitoring (#1249) (18c88d1)
• support case insensitive match on search facets (#1523) (cb4d405)
• Vertex Vizier support in SDK. (#1434) (b63b3ba)

Bug Fixes

• Correct docstring in Dataset classes (#1553) (caebb47)

Miscellaneous Chores

• release 1.16.1 (#1568) (4437cdd)

v1.16.0

1.16.0 (2022-07-27)

Features

• Add metadata SDK sample for delete method. (#1530) (46aa9b5)
• Add metadata SDK samples for list artifact and list execution (#1514) (c0d01f1)
• Add Metadata SDK support and samples for get method (#1516) (d442248)
• Add samples for Metadata context list, get, and create (#1525) (d913e1d)
• Change the Metadata SDK _Context class to an external class (#1519) (95b107c)
• Refactor schema classes to subclass from _Resource (#1536) (93002e8)
• Support custom containers in CustomJob.from_local_script (#1483) (be0b7e1)
• Vertex AI Prediction Custom Prediction Routine (34bbd0a)

Bug Fixes

• Fixed getting the output GCS bucket in PipelineJob.submit (#1542) (69d6c7d)
• Pass the PipelineJob credentials to create_gcs_bucket_for_pipeline_artifacts_if_it_does_not_exist (#1537) (b53e2b5)

v1.15.1

1.15.1 (2022-07-18)

Features

• add get_associated_experiment method to pipeline_jobs (#1476) (e9f2c3c)
• Add sample for create artifact and execution using the Metadata SDK. (#1462) (1fc7dd9)
• Add support for start_execution in MLMD SDK. (#1465) (298958f)
• Add support for Vertex Tables Q2 regions (#1498) (1b16f90)
• Added the PipelineJob.from_pipeline_func method (#1415) (6ef05de)

Bug Fixes

• deps: require google-api-core>=1.32.0,>=2.8.0 (#1512) (6d09dee)
• Unbreak aiplatform.Experiment.create (#1509) (558c141)

Miscellaneous Chores

• release 1.15.1 (#1510) (e500ff3)

v1.15.0

1.15.0 (2022-06-29)

Features

• add default_skew_threshold to TrainingPredictionSkewDetectionConfig in aiplatform v1beta1, v1 model_monitoring.proto (#1411) (7a8e3be)
• add model_monitoring_config to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto (#1450) (d35df58)
• add model_version_id to BatchPredictionJob in aiplatform v1 batch_prediction_job.proto (#1453) (9ef057a)
• add model_version_id to UploadModelResponse in aiplatform v1 model_service.proto (#1442) (1c198f1)
• Add PrivateEndpoint class and HTTP methods (#1033) (425a32f)
• add support for accepting an Artifact Registry URL in pipeline_job (#1405) (e138cfd)
• add support for failure_policy in PipelineJob (#1452) (d0968ea)
• Improved metadata artifact and execution creation using python / SDK (#1430) (6c4374f)
• support dataset update (#1416) (e3eb82f)
• Support for Model Versioning (#1438) (d890685)
• Vertex AI Experiments GA (#1410) (24d1bb6)

Bug Fixes

• Fixed docstrings for wildcards and matching engine type (#1220) (d778dee)
• Removed dirs_exist_ok parameter as it's not backwards compatible (#1170) (50d4129)

v1.14.0

1.14.0 (2022-06-08)

Features

• add a way to easily clone a PipelineJob (#1239) (efaf6ed)
• add display_name and metadata to ModelEvaluation in aiplatform model_evaluation.proto (b6bf6dc)
• add Examples to Explanation related messages in aiplatform v1beta1 explanation.proto (b6bf6dc)
• Add hierarchy and window configs to Vertex Forecasting training job (#1255) (8560fa8)
• add holiday regions for vertex forecasting (#1253) (0036ab0)
• add IAM policy to aiplatform_v1beta1.yaml (b6bf6dc)
• add latent_space_source to ExplanationMetadata in aiplatform v1 explanation_metadata.proto (b6bf6dc)
• add latent_space_source to ExplanationMetadata in aiplatform v1beta1 explanation_metadata.proto (b6bf6dc)
• add preset configuration for example-based explanations in aiplatform v1beta1 explanation.proto (b6bf6dc)
• add scaling to OnlineServingConfig in aiplatform v1 featurestore.proto (b6bf6dc)
• add seq2seq forecasting training job (#1196) (643d335)
• add successful_forecast_point_count to CompletionStats in completion_stats.proto (b6bf6dc)
• add template_metadata to PipelineJob in aiplatform v1 pipeline_job.proto (b6bf6dc)
• Add Vertex Forecasting E2E test. (#1248) (e82c179)
• Added forecasting snippets and fixed bugs with existing snippets (#1210) (4e4bff5)

Bug Fixes

• change endpoint update method to return resource (#1409) (44e279b)
• Changed system test to use list_models() correctly (#1397) (a3da19a)
• Pinned protobuf to prevent issues with pb files. (#1398) (7a54637)

Documentation

• fix changelog header to consistent size (#1404) (f6a7e6f)

v1.13.1

1.13.1 (2022-05-26)

Features

• add batch_size kwarg for batch prediction jobs (#1194) (50bdb01)
• add update endpoint (#1162) (0ecfe1e)
• support autoscaling metrics when deploying models (#1197) (095717c)

Bug Fixes

• check in service proto file (#1174) (5fdf151)
• regenerate pb2 files using grpcio-tools (#1394) (406c868)

Documentation

• update aiplatform SDK arrangement for Sphinx (#1163) (e9510ea)

Miscellaneous Chores

• release 1.13.1 (#1395) (df78407)