🤖 I have created a release beep boop

1.30.1 (2023-09-05)

Features

• Add a return value (ClassificationMetrics) for the log_classification_metrics() (8ebcdbd)
• Add additional scheduled pipelines client create method unit tests. (0463678)
• Add additional scheduled pipelines client getters and unit tests. (9371b4f)
• 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 deleteFeatureValues in aiplatform v1beta1 featurestore_service.proto (#1670) (9a506ee)
• Add disable_retries option to custom jobs. (db518b0)
• Add enable_simple_view to PipelineJob.list() (#1614) (627fdf9)
• Add eval metrics types to get_experiment_df (#1648) (944b03f)
• 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 incremental training to AutoMLImageTrainingJob. (bb92380)
• Add input artifact when creating a pipeline (#1593) (2cf9fe6)
• Add metric and parameter autologging to experiments (96e9e12)
• Add MLMD schema class ExperimentModel (94b2f29)
• 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.evaluate() method to Model class (51df86e)
• Add pipelineJob create_schedule() method and unit test. (635ae9c)
• Add PipelineJobSchedule update method and unit tests. (69c5f60)
• Add preview capability to deploy models with shared resources. (29d4e45)
• Add preview capability to manage DeploymentResourcePools. (5df5da0)
• Add preview CustomJob which can be run on persistent resource (2ce1330)
• Add preview CustomJob which can be run on persistent resource (56906b0)
• Add RaySepc to ResourceRuntimeSpec, and add ResourceRuntime to PersistentResource (#2387) (6987f69)
• Add read_mask to ListPipelineJobsRequest in aiplatform v1 pipeline_service (#1589) (9e19a40)
• Add samples for get execution input and output artifacts (#1585) (eb5a4b6)
• Add scheduled pipelines client create/get methods and unit tests. (4755fc7)
• Add scheduled pipelines client list/pause/resume methods and unit tests. (ce5dee4)
• Add sdk support for xai example-based explanations (f9ca1d5)
• Add sdk support for xai example-based explanations (8abd9e4)
• Add sdk support for xai example-based explanations (21e48fe)
• Add Service Account support to BatchPredictionJob (deba06b)
• Add start_time support for BatchReadFeatureValues wrapper methods. (91d8459)
• Add submit for CustomTrainingJob and CustomContainerTrainingJob which won't block until complete. (d6476d0)
• 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 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 providing only text to MultiModalEmbeddingModel.get_embeddings() (38ec40a)
• 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 V1 and V2 classification models for the V1Beta2 API (#1680) (1cda4b4)
• 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 tunable parameters for Model Garden model training to the "AutoMLImageTrainingJob" in SDK. (50646be)
• Add update_version to Model Registry (8621e24)
• Add xai example-based explanations to preview namespace (575ee0f)
• Add xai example-based explanations to preview namespace (809257f)
• Added the new root vertexai package (fbd03b1)
• 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 setting default service account (d11b8e6)
• 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)
• LLM - Added batch prediction (2235305)
• LLM - Added support for learning_rate in tuning (c6cdd10)
• LLM - Added support for stop_sequences in inference (6f7ea84)
• LLM - Added support for CMEK in tuning (aebf74a)
• LLM - Added tuning support for chat-bison models (3a97c52)
• LLM - Added tuning support for codechat-bison models (af6e455)
• LLM - Exposed the TextGenerationResponse.raw_prediction_response (f8f2b9c)
• LLM - Exposed the chat history (bf0e20b)
• LLM - Exposed the safety attributes (01ba3ca)
• LLM - Improved the handling of temperature and top_p in streaming (6566529)
• LLM - Made tuning asynchronous when tuning becomes GA (226ab8b)
• LLM - release model evaluation for TextGenerationModel to public preview (8df5185)
• LLM - Released TextGenerationModel tuning to GA (62ff30d)
• LLM - Released the BatchPrediction to GA for TextGenerationModel (701c3a2)
• LLM - Released the Chat models to GA (22aa26d)
• LLM - Released the Codey models to GA (89609c9)
• LLM - Released the LLM SDK to GA (76465e2)
• LLM - Support for Batch Prediction for the textembedding models (preview) (a368538)
• LLM - Support streaming prediction for chat models (ce60cf7)
• LLM - Support streaming prediction for code chat models (0359f1d)
• LLM - Support streaming prediction for code generation models (3a8348b)
• LLM - Support streaming prediction for text generation models (fb527f3)
• LLM - Support tuning for the code-bison model (preview) (e4b23a2)
• LLM - Support tuning in the "us-central1" location (4aa7745)
• LLM - TextEmbeddingModel - Added support for structural inputs (TextEmbeddingInput), auto_truncate parameter and result statistics (cbf9b6e)
• LVM - Added support for Image Generation models (b3729c1)
• LVM - Released ImageCaptioningModel to GA (7575046)
• LVM - Released ImageQnAModel to GA (fd5cb02)
• LVM - Released MultiModalEmbeddingModel to GA (e99f366)
• LVM - Removed the width and height parameters from ImageGenerationModel.generate_images since the service has dropped support for image sizes and aspect ratios (52897e6)
• Release Vertex SDK Preview (c60b9ca)
• Remove google internal annotation when export to github. (fd5ff99)
• Reraise exceptions from API calls (d72bc83)
• Scheduled pipelines client GA. (62b8b23)
• Support a list of GCS URIs in CustomPythonPackageTrainingJob (05bb71f)
• Support bigframes sharded parquet ingestion at remote deserialization (Tensorflow) (a8f85ec)
• Support complex metrics in Vertex Experiments (#1698) (ed0492e)
• Support filters in matching engine vector matching (#1608) (d591d3e)
• 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)

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 scheduled pipelines client dashboard uri to view created schedules. Note: uri will not work until scheduler UI is GA. (d4d8613)
• Correct data file gcs path for import_data_text_sentiment_analysis_sample test (86df4b5)
• 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 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 aiplatform.init bug by replacing experiment_name with experiment (c60773a)
• Fix artifact registry link not showing in ui when creating schedules with SDK. (203cb47)
• 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 bug where scheduled pipeline jobs were not running. (4e7d11a)
• Fix default AutoML Forecasting transformations list. (77b89c0)
• Fix endpoint parsing in ModelDeploymentMonitoringJob.update (#1671) (186872d)
• Fix error when calling update_state() after ExperimentRun.list() (cb255ec)
• Fix feature update since no LRO is created (468e6e7)
• 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 the installation error caused by a PyYAML issue (4b86ce1)
• List method for MLMD schema classes (2401a1d)
• LLM - CodeGenerationModel now supports safety attributes (c2c8a5e)
• LLM - De-hardcoded the max_output_tokens default value for the CodeGenerationModel (f5a20eb)
• LLM - Exported the ChatMessage class (7bf7634)
• LLM - Fixed get_tuned_model for the future models that are not text-bison (1adf72b)
• LLM - Fixed batch prediction on tuned models (2a08535)
• LLM - Fixed filter in list_tuned_model_names (57806fb)
• LLM - Fixed parameters set in ChatModel.start_chat being ignored (a0d815d)
• LLM - Fixed the TextGenerationModel.predict parameters (f3b25ab)
• LLM - Fixed the chat models failing due to safetyAttributes format (459ba86)
• LLM - Fixed the DataFrame staging on Windows (056b0bd)
• LLM - Fixed the handling of the TextEmbeddingInput.task_type parameter. (2e3090b)
• Log_classification_metrics (#1742) (3588526)
• Log_metrics docstring error (#1588) (0385c4c)
• Make statistics Optional for TextEmbedding. (7eaa1d4)
• Pin shapely version to <2.0.0 (1efd816)
• PipelineJob should only pass bearer tokens for AR URIs (b43851c)
• Print error for schema classes (13e2165)
• Project/location parsing for nested resources (#1700) (9e1d796)
• Remove ICN model type "RESNET". (7e28246)
• Remove Schedule read mask because ListSchedules does not support it. (1fda417)
• Removed parameter Resume, due to causing confusion and errors. (c82e0b5)
• Require model name in ModelEvaluation.list() (aed8c76)
• 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)
• Unbreak additional timeout for _deploy_call() (076308f)
• Unbreak additional timeout for MatchingEngine update_embeddings (5d0bc1e)
• Unbreak additional timeout for MatchingEngineIndexEndpoint deploy_index (af199c0)
• 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)
• Vizier - Fixed pyvizier client study creation errors (16299d1)

Miscellaneous Chores

• Release 1.17.1 (#1668) (b54d659)
• Release 1.19.1 (f01867f)
• Release 1.22.1 (ed4c0b1)
• Release 1.24.1 (cf633a2)
• Release 1.26.1 (42567d2)
• Release 1.27.1 (2159f29)
• Release 1.28.1 (8ebf22e)
• Release 1.30.1 (d1c79c4)

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)
• ExperimentRun docstring and end_run kwarg (#1649) (075a6c2)
• Fix auto-generated pydoc for language_models (7d72bd1)
• Fix Create and Import Tabular BQ dataset sample (4415c10)
• Fix create experiment sample (#1716) (cba7fbf)
• Fix create tensorboard sample (2c45123)
• 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 typos (#1709) (5fe515c)
• Fixed a docstring for _Dataset (b68a941)
• Fixed a docstring for TimeSeriesDataset (a7dfce2)
• Fixed a docstring for train_steps (1f55b05)
• Fixed a typo in docstring. (4ee6232)
• Generate documentation for tune_model and related class (705e1ea)
• LLM - Fixed the rendering of the example usage code blocks. (eaaee28)
• LLM - Made it possible to provide message history to CodeChatModel when starting chat. (cf46145)
• LVM - Added autogenerated documentation for visual models (18e8bb2)
• New samples for model serialization (83457ca)
• Populate GA LLM SDK Pydocs (e248285)
• 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 docstring for 3 model uploading methods (a71e4a3)
• Update docstrings for "data_item_labels" in dataset (b2f8c42)
• Update README fix product doc link (43a2679)
• Update README with new link for AI Platform API (35b83d9)
• Update scheduled pipelines client max_run_count docstring with allowed values. (750e161)
• Update scheduled pipelines client wait() docstring. (a7d92e5)
• Update Vertex Forecasting weight column description. (e0ee183)

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