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Releases: googleapis/python-aiplatform

v1.30.0

10 Aug 20:09
06c9d18
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1.30.0 (2023-08-10)

Features

  • Add model.evaluate() method to Model class (51df86e)
  • Add support for providing only text to MultiModalEmbeddingModel.get_embeddings() (38ec40a)

Bug Fixes

  • LLM - Fixed filter in list_tuned_model_names (57806fb)

v1.29.0

03 Aug 11:51
77ed9ef
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1.29.0 (2023-08-02)

Features

  • Add preview CustomJob which can be run on persistent resource (56906b0)
  • LLM - Support for Batch Prediction for the textembedding models (preview) (a368538)
  • LLM - Support tuning for the code-bison model (preview) (e4b23a2)
  • LVM - Large Vision Models SDK (preview release). Support for image captioning and image QnA (imagetext model) and multi modal embedding (multimodelembedding model) (preview) (9bbf1ea)

Bug Fixes

  • LLM - Fixed get_tuned_model for the future models that are not text-bison (1adf72b)

Documentation

  • Fix auto-generated pydoc for language_models (7d72bd1)
  • LLM - Made it possible to provide message history to CodeChatModel when starting chat. (cf46145)

v1.28.1

19 Jul 16:28
fcf4ac9
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1.28.1 (2023-07-18)

Features

  • LLM - Released the BatchPrediction to GA for TextGenerationModel (701c3a2)
  • LLM - Support tuning in the "us-central1" location (4aa7745)

Bug Fixes

  • Fix artifact registry link not showing in ui when creating schedules with SDK. (203cb47)
  • Fixed the installation error caused by a PyYAML issue (4b86ce1)
  • Require model name in ModelEvaluation.list() (aed8c76)

Documentation

  • Fixed a docstring for train_steps (1f55b05)

Miscellaneous Chores

v1.28.0

10 Jul 19:30
6ce18f7
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1.28.0 (2023-07-08)

Features

  • LLM - Released the Chat models to GA (22aa26d)

v1.27.1

06 Jul 18:58
52d0267
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1.27.1 (2023-07-06)

Features

  • Add sdk support for xai example-based explanations (f9ca1d5)

Miscellaneous Chores

v1.27.0

30 Jun 13:42
718f04b
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1.27.0 (2023-06-30)

Features

  • Add submit for CustomTrainingJob and CustomContainerTrainingJob which won't block until complete. (d6476d0)
  • LLM - Added support for learning_rate in tuning (c6cdd10)
  • LLM - Released the Codey models to GA (89609c9)

Bug Fixes

  • Fix aiplatform.init bug by replacing experiment_name with experiment (c60773a)
  • Fix error when calling update_state() after ExperimentRun.list() (cb255ec)
  • LLM - Exported the ChatMessage class (7bf7634)
  • LLM - Fixed the chat models failing due to safetyAttributes format (459ba86)
  • Vizier - Fixed pyvizier client study creation errors (16299d1)

Documentation

  • Fixed a docstring for _Dataset (b68a941)
  • Fixed a docstring for TimeSeriesDataset (a7dfce2)
  • Populate GA LLM SDK Pydocs (e248285)
  • Update scheduled pipelines client max_run_count docstring with allowed values. (750e161)

v1.26.1

22 Jun 14:53
5bcf602
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1.26.1 (2023-06-21)

Features

  • Add additional scheduled pipelines client getters and unit tests. (9371b4f)
  • Add PipelineJobSchedule update method and unit tests. (69c5f60)
  • Add tunable parameters for Model Garden model training to the "AutoMLImageTrainingJob" in SDK. (50646be)
  • LLM - Added batch prediction (2235305)
  • LLM - Exposed the chat history (bf0e20b)
  • LLM - Exposed the safety attributes (01ba3ca)

Bug Fixes

  • Change scheduled pipelines client dashboard uri to view created schedules. Note: uri will not work until scheduler UI is GA. (d4d8613)
  • Fix bug where scheduled pipeline jobs were not running. (4e7d11a)
  • Remove Schedule read mask because ListSchedules does not support it. (1fda417)

Miscellaneous Chores

Documentation

  • Update scheduled pipelines client wait() docstring. (a7d92e5)

v1.26.0

08 Jun 03:53
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1.26.0 (2023-06-07)

Features

  • Add additional scheduled pipelines client create method unit tests. (0463678)
  • Add pipelineJob create_schedule() method and unit test. (635ae9c)
  • Add scheduled pipelines client create/get methods and unit tests. (4755fc7)
  • Add scheduled pipelines client list/pause/resume methods and unit tests. (ce5dee4)
  • Adding enable_access_logging parameter to Endpoint.deploy() method, minor edit to batch_predict() docstring (794cedd)
  • LLM - Added support for CMEK in tuning (aebf74a)
  • LLM - Released the LLM SDK to GA (76465e2)
  • Support publisher models in BatchPredictionJob.create (13b11c6)

Bug Fixes

  • CustomJob.from_local_script does not pass args to script for custom container images (6ead69d)
  • Fix bug when checking PipelineJob failure status (a154859)
  • Fix the bug that start_upload_tb_log() doesn't continuously upload (66e6eae)
  • LLM - Fixed parameters set in ChatModel.start_chat being ignored (a0d815d)
  • LLM - Fixed the DataFrame staging on Windows (056b0bd)
  • 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)
  • Unbreak additional timeout for MatchingEngineIndexEndpoint deploy_index (af199c0)

Documentation

  • Correct text embedding model ID docstring (8824629)
  • LLM - Fixed the rendering of the example usage code blocks. (eaaee28)

v1.25.0

09 May 19:43
9eb2c99
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1.25.0 (2023-05-09)

Features

  • Add support for Large Language Models (866c6aa)
  • Add default TensorBoard support. (fa7d3a0)
  • Add support for find_neighbors/read_index_datapoints in matching engine public endpoint (e3a87f0)
  • Added the new root vertexai package (fbd03b1)

Bug Fixes

  • EntityType RPC update returns the updated EntityType - not an LRO. (8f9c714)
  • Fix default AutoML Forecasting transformations list. (77b89c0)
  • Fix type hints for Prediction.predictions. (56518f1)
  • Removed parameter Resume, due to causing confusion and errors. (c82e0b5)

v1.24.1

21 Apr 15:24
cd82fee
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1.24.1 (2023-04-21)

Features

  • Add preview capability to deploy models with shared resources. (29d4e45)
  • Add support for create public index endpoint in matching engine (7e6022b)
  • Add support for return public endpoint dns name in matching engine (1b5ae44)
  • Add the new model types to the "AutoMLImageTrainingJob" in SDK. (4d032d5)
  • Adds the Time series Dense Encoder (TiDE) forecasting job. (d8e6744)
  • Remove google internal annotation when export to github. (fd5ff99)

Bug Fixes

  • Support timestamp in Vertex SDK write_feature_values() (4b0722c)

Documentation

  • Add Time series Dense Encoder (TiDE) model code sample. (8e91a58)
  • Fix docstring formatting for exceptions (d75322c)

Miscellaneous Chores