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chore(main): release 1.24.1 #2196

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@release-please release-please bot commented May 9, 2023 •
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🤖 I have created a release beep boop

1.24.1 (2023-06-08)

Features

  • Add a return value (ClassificationMetrics) for the log_classification_metrics() (8ebcdbd)
  • Add a way to easily clone a PipelineJob (#1239) (efaf6ed)
  • Add additional scheduled pipelines client create method unit tests. (0463678)
  • Add batch_size kwarg for batch prediction jobs (#1194) (50bdb01)
  • Add ConvexAutomatedStoppingSpec to StudySpec in aiplatform v1 study.proto (847ad78)
  • Add ConvexAutomatedStoppingSpec to StudySpec in aiplatform v1beta1 study.proto (847ad78)
  • Add default skew threshold to be an optional input at _SkewDetectionConfig and also mark the target_field and data_source of skew config to optional. (7da4164)
  • Add default TensorBoard support. (fa7d3a0)
  • Add default_skew_threshold to TrainingPredictionSkewDetectionConfig in aiplatform v1beta1, v1 model_monitoring.proto (#1411) (7a8e3be)
  • Add deleteFeatureValues in aiplatform v1beta1 featurestore_service.proto (#1670) (9a506ee)
  • Add display_name and metadata to ModelEvaluation in aiplatform model_evaluation.proto (b6bf6dc)
  • Add enable_simple_view to PipelineJob.list() (#1614) (627fdf9)
  • Add endpoind_id arg to Endpoint#create (#1168) (4c21993)
  • Add eval metrics types to get_experiment_df (#1648) (944b03f)
  • Add Examples to Explanation related messages in aiplatform v1beta1 explanation.proto (b6bf6dc)
  • Add ExperimentRun.get_logged_custom_jobs method (c116b07)
  • Add explanationSpec to TrainingPipeline-based custom jobs (957703f)
  • Add Feature Store: Streaming Ingestion (write_feature_values()) and introduce Preview namespace to Vertex SDK (bae0315)
  • Add filter to Model Registry list_versions API. (c1cb33f)
  • Add get method for Experiment and ExperimentRun (41cd943)
  • Add get_associated_experiment method to pipeline_jobs (#1476) (e9f2c3c)
  • Add google.ClassificationMetrics, google.RegressionMetrics, and google.Forecasting Metrics (#1549) (3526b3e)
  • 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 incremental training to AutoMLImageTrainingJob. (bb92380)
  • Add input artifact when creating a pipeline (#1593) (2cf9fe6)
  • Add JOB_STATE_UPDATING to JobState in aiplatform v1 job_state.proto (847ad78)
  • Add JOB_STATE_UPDATING to JobState in aiplatform v1beta1 job_state.proto (847ad78)
  • 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 LatestMonitoringPipelineMetadata to ModelDeploymentMonitoringJob in aiplatform v1beta1 model_deployment_monitoring_job.proto (847ad78)
  • Add ListModelVersion, DeleteModelVersion, and MergeVersionAliases rpcs to aiplatform v1beta1 model_service.proto (847ad78)
  • 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 metric and parameter autologging to experiments (96e9e12)
  • Add MfsMount in aiplatform v1 machine_resources.proto (847ad78)
  • Add MfsMount in aiplatform v1beta1 machine_resources.proto (847ad78)
  • Add MLMD schema class ExperimentModel (94b2f29)
  • Add model_id and parent_model to TrainingPipeline in aiplatform v1beta1 training_pipeline.proto (847ad78)
  • Add model_monitoring_config to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto (#1450) (d35df58)
  • Add model_monitoring_stats_anomalies,model_monitoring_status to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto (#1621) (0a1f4e9)
  • Add model_source_info to Model in aiplatform v1beta1 model.proto (#1691) (876fb2a)
  • Add model_version_id to BatchPredictionJob in aiplatform v1 batch_prediction_job.proto (#1453) (9ef057a)
  • Add model_version_id to DeployedModel in aiplatform v1beta1 endpoint.proto (847ad78)
  • Add model_version_id to PredictResponse in aiplatform v1beta1 prediction_service.proto (847ad78)
  • Add model_version_id to UploadModelRequest and UploadModelResponse in aiplatform v1beta1 model_service.proto (847ad78)
  • Add model_version_id to UploadModelResponse in aiplatform v1 model_service.proto (#1442) (1c198f1)
  • Add ModelEvaluation support (#1167) (10f95cd)
  • Add nfs_mounts to WorkPoolSpec in aiplatform v1 custom_job.proto (847ad78)
  • Add nfs_mounts to WorkPoolSpec in aiplatform v1beta1 custom_job.proto (847ad78)
  • Add Pandas DataFrame support to TabularDataset (#1185) (4fe4558)
  • Add pipelineJob create_schedule() method and unit test. (635ae9c)
  • Add PredictRequestResponseLoggingConfig to aiplatform v1beta1 endpoint.proto (847ad78)
  • Add preset configuration for example-based explanations in aiplatform v1beta1 explanation.proto (b6bf6dc)
  • Add preview capability to deploy models with shared resources. (29d4e45)
  • Add preview capability to manage DeploymentResourcePools. (5df5da0)
  • Add PrivateEndpoint class and HTTP methods (#1033) (425a32f)
  • Add read_mask to ListPipelineJobsRequest in aiplatform v1 pipeline_service (#1589) (9e19a40)
  • Add reserved_ip_ranges to CustomJobSpec in aiplatform v1 custom_job.proto (#1165) (847ad78)
  • Add reserved_ip_ranges to CustomJobSpec in aiplatform v1beta1 custom_job.proto (847ad78)
  • Add sample for create artifact and execution using the Metadata SDK. (#1462) (1fc7dd9)
  • Add samples for get execution input and output artifacts (#1585) (eb5a4b6)
  • Add samples for Metadata context list, get, and create (#1525) (d913e1d)
  • Add scaling to OnlineServingConfig in aiplatform v1 featurestore.proto (b6bf6dc)
  • Add scheduled pipelines client create/get methods and unit tests. (4755fc7)
  • Add scheduled pipelines client list/pause/resume methods and unit tests. (ce5dee4)
  • Add seq2seq forecasting training job (#1196) (643d335)
  • Add Service Account support to BatchPredictionJob (deba06b)
  • Add start_time support for BatchReadFeatureValues wrapper methods. (91d8459)
  • Add successful_forecast_point_count to CompletionStats in completion_stats.proto (b6bf6dc)
  • Add support for accepting an Artifact Registry URL in pipeline_job (#1405) (e138cfd)
  • Add support for create public index endpoint in matching engine (7e6022b)
  • Add support for enable_dashboard_access field for Training jobs in SDK (3500eab)
  • Add support for failure_policy in PipelineJob (#1452) (d0968ea)
  • Add support for find_neighbors/read_index_datapoints in matching engine public endpoint (e3a87f0)
  • Add support for HTTPS URI pipeline templates (#1683) (926d0b6)
  • Add support for ordery_by in Metadata SDK list methods for Artifact, Execution and Context. (2377606)
  • Add support for Predict Request Response Logging in Endpoint SDK (372ab8d)
  • Add support for return public endpoint dns name in matching engine (1b5ae44)
  • Add support for SDK Method metrics tracking via _USER_AGENT_SDK… (#1591) (28e56ef)
  • Add support for start_execution in MLMD SDK. (#1465) (298958f)
  • Add support for V1 and V2 classification models for the V1Beta2 API (#1680) (1cda4b4)
  • Add support for Vertex Tables Q2 regions (#1498) (1b16f90)
  • Add template_metadata to PipelineJob in aiplatform v1 pipeline_job.proto (b6bf6dc)
  • Add template_metadata to PipelineJob in aiplatform v1beta1 pipeline_job.proto (#1186) (99aca4a)
  • Add TensorBoard log uploader (3fad7bb)
  • Add the new model types we plan to introduce in Model Garden to the "AutoMLImageTrainingJob" in SDK. (4d032d5)
  • Add the recently added new model type "cloud_1" to the "AutoMLImageTrainingJob" in SDK. (581939b)
  • Add timeout arg across SDK (#1099) (184f7f3)
  • Add update endpoint (#1162) (0ecfe1e)
  • Add update_version to Model Registry (8621e24)
  • Add version_id to Model in aiplatform v1beta1 model.proto (847ad78)
  • Add Vertex Forecasting E2E test. (#1248) (e82c179)
  • Add xai example-based explanations to preview namespace (575ee0f)
  • Add xai example-based explanations to preview namespace (809257f)
  • Added forecasting snippets and fixed bugs with existing snippets (#1210) (4e4bff5)
  • Added support for conditional parameters in hyperparameter tuning (#1544) (744cc38)
  • Added the new root vertexai package (fbd03b1)
  • Added the PipelineJob.from_pipeline_func method (#1415) (6ef05de)
  • Adding enable_access_logging parameter to Endpoint.deploy() method, minor edit to batch_predict() docstring (794cedd)
  • Adding Feature Store: Streaming ingestion to GA (6bc4c84)
  • Adding Python 3.10 support + updating google-vizier version (#1644) (f4766dc)
  • Adds the temporal fusion transformer (TFT) forecasting job (99313e0)
  • Adds the Time series Dense Encoder (TiDE) forecasting job. (d8e6744)
  • Allow creating featurestore without online node (#1180) (3224ae3)
  • Allow users to specify timestamp split for vertex forecasting (#1187) (ee49e00)
  • Change the Metadata SDK _Context class to an external class (#1519) (95b107c)
  • Enable deployment of models that do not support deployment (25f3f21)
  • Enable experiment tracking in CustomJob (94a63b8)
  • Enable passing experiment_tensorboard to init without experiment (369a0cc)
  • Implement Model.copy functionality. (94dd82f)
  • Improved metadata artifact and execution creation using python / SDK (#1430) (6c4374f)
  • LLM - Added support for CMEK in tuning (aebf74a)
  • LLM - Released the LLM SDK to GA (76465e2)
  • Made display_name parameter optional for most calls (#882) (400b760)
  • Make matching engine API public (#1192) (469db6b)
  • Refactor schema classes to subclass from _Resource (#1536) (93002e8)
  • Remove google internal annotation when export to github. (fd5ff99)
  • Rename Similarity to Examples, and similarity to examples in ExplanationParameters in aiplatform v1beta1 explanation.proto (847ad78)
  • Reraise exceptions from API calls (d72bc83)
  • SDK support for model monitoring (#1249) (18c88d1)
  • sdk: Enable loading both JSON and YAML pipelines IR (#1089) (f2e70b1)
  • Support a list of GCS URIs in CustomPythonPackageTrainingJob (05bb71f)
  • Support autoscaling metrics when deploying models (#1197) (095717c)
  • Support case insensitive match on search facets (#1523) (cb4d405)
  • Support complex metrics in Vertex Experiments (#1698) (ed0492e)
  • Support custom containers in CustomJob.from_local_script (#1483) (be0b7e1)
  • Support dataset update (#1416) (e3eb82f)
  • Support filters in matching engine vector matching (#1608) (d591d3e)
  • Support for Model Versioning (#1438) (d890685)
  • Support global network parameter. (c7f57ad)
  • Support model monitoring for batch prediction in Vertex SDK (#1570) (bbec998)
  • Support Model Serialization in Vertex Experiments(sklearn) (d4deed3)
  • Support Model Serialization in Vertex Experiments(tensorflow) (f38ddc2)
  • Support Model Serialization in Vertex Experiments(xgboost) (fe75eba)
  • Support publisher models in BatchPredictionJob.create (13b11c6)
  • 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)
  • Update the v1 service definition to add the embedding_id field in MatchRequest. (5a1146e)
  • Update the v1 service definition to add the fraction_leaf_nodes_to_search_override field which replaces leaf_nodes_to_search_percent_override. (badd386)
  • Vertex AI Experiments GA (#1410) (24d1bb6)
  • Vertex AI Prediction Custom Prediction Routine (34bbd0a)
  • Vertex Vizier support in SDK. (#1434) (b63b3ba)

Bug Fixes

  • Endpoint.undeploy_all() doesn't undeploy all models (9fb24d7)
  • Add pre-built container(tf2-gpu-2-1) to the container URI list (cdd557e)
  • Added missing instances_format parameter to batch_prediction_job_samples (82a2afc)
  • Added proto message conversion to MDMJob.update fields (#1718) (9e77c61)
  • Adding previously created PrivateEndpoint network parameter in Model deploy helper method (3e1b206)
  • Address broken unit tests in certain environments (d06b22d)
  • Change default for create_request_timeout arg to None (#1175) (47791f7)
  • Change endpoint update method to return resource (#1409) (44e279b)
  • Changed system test to use list_models() correctly (#1397) (a3da19a)
  • Check in service proto file (#1174) (5fdf151)
  • Correct data file gcs path for import_data_text_sentiment_analysis_sample test (86df4b5)
  • Correct docstring in Dataset classes (#1553) (caebb47)
  • CustomJob.from_local_script does not pass args to script for custom container images (6ead69d)
  • deps: Allow protobuf < 5.0.0 (#1587) (3d3e0aa)
  • deps: Require google-api-core>=1.32.0,>=2.8.0 (#1512) (6d09dee)
  • deps: Require proto-plus >= 1.22.0 (3d3e0aa)
  • deps: Require protobuf >= 3.20.2 (#1699) (c5c77ad)
  • EntityType RPC update returns the updated EntityType - not an LRO. (8f9c714)
  • Fix bug in associating tensorboard to an experiment (6def0b8)
  • Fix bug that broke profiler with '0-rc2' tensorflow versions. (8779df5)
  • Fix bug when checking PipelineJob failure status (a154859)
  • Fix default AutoML Forecasting transformations list. (77b89c0)
  • Fix endpoint parsing in ModelDeploymentMonitoringJob.update (#1671) (186872d)
  • Fix the bug that start_upload_tb_log() doesn't continuously upload (66e6eae)
  • Fix type hints for Prediction.predictions. (56518f1)
  • Fixed argument name in UnmanagedContainerModel (d876b3a)
  • Fixed docstrings for wildcards and matching engine type (#1220) (d778dee)
  • Fixed getting the output GCS bucket in PipelineJob.submit (#1542) (69d6c7d)
  • Give aiplatform logging its own log namespace, let the user configure their own root logger (#1081) (fb78243)
  • List method for MLMD schema classes (2401a1d)
  • LLM - Fixed parameters set in ChatModel.start_chat being ignored (a0d815d)
  • LLM - Fixed the DataFrame staging on Windows (056b0bd)
  • Log_classification_metrics (#1742) (3588526)
  • Log_metrics docstring error (#1588) (0385c4c)
  • Pass the PipelineJob credentials to create_gcs_bucket_for_pipeline_artifacts_if_it_does_not_exist (#1537) (b53e2b5)
  • Pin shapely version to <2.0.0 (1efd816)
  • Pinned protobuf to prevent issues with pb files. (#1398) (7a54637)
  • PipelineJob should only pass bearer tokens for AR URIs (b43851c)
  • Print error for schema classes (13e2165)
  • Project/location parsing for nested resources (#1700) (9e1d796)
  • Regenerate pb2 files using grpcio-tools (#1394) (406c868)
  • Remove ICN model type "RESNET". (7e28246)
  • Removed dirs_exist_ok parameter as it's not backwards compatible (#1170) (50d4129)
  • Removed parameter Resume, due to causing confusion and errors. (c82e0b5)
  • Resource created by _construct_sdk_resource_from_gapic should use the project from the resource name instead of the default project. (162b2f2)
  • Retry for etag errors on context update. (d3d5f9a)
  • Show inherited SDK methods in pydoc (#1707) (2b7583b)
  • Study.list() method (#1594) (47eb0ae)
  • Support timestamp in Vertex SDK write_feature_values() (4b0722c)
  • System tests failure from test_upload_and_deploy_xgboost_model (#1149) (c8422a9)
  • Unbreak additional timeout for _deploy_call() (076308f)
  • Unbreak additional timeout for MatchingEngine update_embeddings (5d0bc1e)
  • Unbreak additional timeout for MatchingEngineIndexEndpoint deploy_index (af199c0)
  • Unbreak aiplatform.Experiment.create (#1509) (558c141)
  • Unbreak timeouts for Dataset create, FeatureStore ingest, and MatchingEngine Index create. (3096d1c)
  • Unbreak timeouts for Dataset create. (328ebac)
  • Update Model.list_model_evaluations and get_model_evaluation to use the provided version (#1616) (8fb836b)
  • Updated proto message formatting logic for batch predict model monitoring (f87fef0)
  • Use Client.list_blobs instead of Bucket.list_blobs in CPR artifact downloader, to make sure that CPR works with custom service accounts on Vertex Prediction. (bb27619)

Miscellaneous Chores

Documentation

  • Add a hint to auth Docker to the LocalModel push_image docstring. (e97a6fb)
  • Add a sample for create_tensorboard. (52656ca)
  • Add a sample for get_experiment_run_artifacts (7266352)
  • Add temporal fusion transformer (TFT) model code sample. (8ddc062)
  • Add Time series Dense Encoder (TiDE) model code sample. (8e91a58)
  • Added missing comma in README (8cb4377)
  • Adds note to delete endpoint sample (#2060) (9922eb2)
  • Correct text embedding model ID docstring (8824629)
  • Endpoint.create => aiplatform.Endpoint.create (#1153) (1122a26)
  • ExperimentRun docstring and end_run kwarg (#1649) (075a6c2)
  • Fix changelog header to consistent size (#1404) (f6a7e6f)
  • Fix Create and Import Tabular BQ dataset sample (4415c10)
  • Fix create experiment sample (#1716) (cba7fbf)
  • Fix create tensorboard sample (2c45123)
  • Fix CustomContainerTrainingJob example in docstring (#1101) (d2fb9db)
  • Fix docstring formatting for exceptions (d75322c)
  • Fix Experiment resource name format docstring. (f8e5842)
  • Fix get Experiment data frame sample (24e1465)
  • Fix LocalModel push_image docstring. (5fdb7fc)
  • Fix type in docstring for map fields (847ad78)
  • Fix typos (#1709) (5fe515c)
  • Fixed a typo in docstring. (4ee6232)
  • Improve bigquery_destination_prefix docstring (#1098) (a46df64)
  • LLM - Fixed the rendering of the example usage code blocks. (eaaee28)
  • New samples for model serialization (83457ca)
  • Remove TODOs from docs (#1513) (406ed84)
  • Resurface googleapis.dev and prediction docs (#1724) (24f0c6f)
  • Samples for model serialization (7997094)
  • samples: Add AutoML image classification sample (#923) (677b311)
  • samples: Add Model Registry samples to Vertex AI Python SDK (#1602) (72fd36d)
  • samples: Add sample for experiment run state update. (111a747)
  • samples: Add samples for autologging (f8052b8)
  • samples: Added seq2seq sample (#1595) (4e7175f)
  • samples: Feature Store: Streaming ingestion code sample and test (bc9e2cf)
  • samples: Improve docstring of Vertex AI Python SDK Model Registry samples (#1705) (f97e90f)
  • Update aiplatform SDK arrangement for Sphinx (#1163) (e9510ea)
  • Update changelog headers (#1164) (c1e899d)
  • Update docstring for 3 model uploading methods (a71e4a3)
  • Update docstrings for "data_item_labels" in dataset (b2f8c42)
  • Update model code snippet order in README (#1154) (404d7f1)
  • Update README fix product doc link (43a2679)
  • Update README with new link for AI Platform API (35b83d9)
  • Update Vertex Forecasting weight column description. (e0ee183)

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-- 3c4bdb2 by release-please[bot] <55107282+release-please[bot]@users.noreply.github.com>: chore(main): release 1.26.0 COPYBARA_INTEGRATE_REVIEW=#2196 from googleapis:release-please--branches--main 3c4bdb2 PiperOrigin-RevId: 538660763
@release-please release-please bot changed the title chore(main): release 1.26.0 chore(main): release 1.24.1 Jun 8, 2023
@release-please release-please bot force-pushed the release-please--branches--main branch from 3c4bdb2 to fb6c7c0 Compare June 8, 2023 02:58
@trusted-contributions-gcf trusted-contributions-gcf bot added kokoro:force-run Add this label to force Kokoro to re-run the tests. owlbot:run Add this label to trigger the Owlbot post processor. labels Jun 8, 2023
@product-auto-label product-auto-label bot added size: l Pull request size is large. and removed size: m Pull request size is medium. labels Jun 8, 2023
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@yoshi-kokoro yoshi-kokoro removed the kokoro:force-run Add this label to force Kokoro to re-run the tests. label Jun 8, 2023
@sararob sararob added the do not merge Indicates a pull request not ready for merge, due to either quality or timing. label Jun 8, 2023
@sararob sararob closed this Jun 8, 2023
pabloem pushed a commit to pabloem/python-aiplatform that referenced this pull request Dec 30, 2023
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Copybara import of the project:
4316814 
-- 3c4bdb2 by release-please[bot] <55107282+release-please[bot]@users.noreply.github.com>: chore(main): release 1.26.0 COPYBARA_INTEGRATE_REVIEW=googleapis#2196 from googleapis:release-please--branches--main 3c4bdb2 PiperOrigin-RevId: 538660763
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api: vertex-ai Issues related to the googleapis/python-aiplatform API. autorelease: closed do not merge Indicates a pull request not ready for merge, due to either quality or timing. size: l Pull request size is large.

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@Ark-kun @sararob @yoshi-kokoro