Sourced from mlflow's releases.

MLflow 2.14.3 is a patch release that addresses bug fixes and additional documentation for released features

Features:

• [Model Registry] Add support for server-side encryption when uploading files to AWS S3 (#12495, @​artjen)

Bug fixes:

• [Models] Fix stream trace logging with the OpenAI autologging implementation to record the correct chunk structure (#12629, @​BenWilson2)
• [Models] Fix batch inference behavior for Whisper-based translation models to allow for multiple audio file inputs (#12575, @​B-Step62)

Documentation updates:

• [Docs] Add documentation for OpenAI autologging (#12608, @​BenWilson2)

Small bug fixes and documentation updates:

#12556, #12628, @​B-Step62; #12582, #12560, @​harupy; #12553, @​nojaf

MLflow 2.14.2 is a patch release that includes several important bug fixes and documentation enhancements.

Bug fixes:

• [Models] Fix an issue with requirements inference error handling when disabling the default warning-only behavior (#12547, @​B-Step62)
• [Models] Fix dependency inference issues with Transformers models saved with the unified API llm/v1/xxx task definitions. (#12551, @​B-Step62)
• [Models / Databricks] Fix an issue with MLlfow log_model introduced in MLflow 2.13.0 that causes Databricks DLT service to crash in some situations (#12514, @​WeichenXu123)
• [Models] Fix an output data structure issue with the predict_stream implementation for LangChain AgentExecutor and other non-Runnable chains (#12518, @​B-Step62)
• [Tracking] Fix an issue with the predict_proba inference method in the sklearn flavor when loading an sklearn pipeline object as pyfunc (#12554, @​WeichenXu123)
• [Tracking] Fix an issue with the Tracing implementation where other services usage of OpenTelemetry would activate MLflow tracing and cause errors (#12457, @​B-Step62)
• [Tracking / Databricks] Correct an issue when running dependency inference in Databricks that can cause duplicate dependency entries to be logged (#12493, @​sunishsheth2009)

Documentation updates:

• [Docs] Add documentation and guides for the MLflow tracing schema (#12521, @​BenWilson2)

Small bug fixes and documentation updates:

#12311, #12285, #12535, #12543, #12320, #12444, @​B-Step62; #12310, #12340, @​serena-ruan; #12409, #12432, #12471, #12497, #12499, @​harupy; #12555, @​nojaf; #12472, #12431, @​xq-yin; #12530, #12529, #12528, #12527, #12526, #12524, #12531, #12523, #12525, #12522, @​dbczumar; #12483, @​jsuchome; #12465, #12441, @​BenWilson2; #12450, @​StarryZhang-whu

Sourced from mlflow's changelog.

2.14.3 (2024-07-12)

MLflow 2.14.3 is a patch release that addresses bug fixes and additional documentation for released features

Features:

• [Model Registry] Add support for server-side encryption when uploading files to AWS S3 (#12495, @​artjen)

Bug fixes:

• [Models] Fix stream trace logging with the OpenAI autologging implementation to record the correct chunk structure (#12629, @​BenWilson2)
• [Models] Fix batch inference behavior for Whisper-based translation models to allow for multiple audio file inputs (#12575, @​B-Step62)

Documentation updates:

• [Docs] Add documentation for OpenAI autologging (#12608, @​BenWilson2)

Small bug fixes and documentation updates:

#12556, #12628, @​B-Step62; #12582, #12560, @​harupy; #12553, @​nojaf

2.14.2 (2024-07-03)

MLflow 2.14.2 is a patch release that includes several important bug fixes and documentation enhancements.

Bug fixes:

• [Models] Fix an issue with requirements inference error handling when disabling the default warning-only behavior (#12547, @​B-Step62)
• [Models] Fix dependency inference issues with Transformers models saved with the unified API llm/v1/xxx task definitions. (#12551, @​B-Step62)
• [Models / Databricks] Fix an issue with MLlfow log_model introduced in MLflow 2.13.0 that causes Databricks DLT service to crash in some situations (#12514, @​WeichenXu123)
• [Models] Fix an output data structure issue with the predict_stream implementation for LangChain AgentExecutor and other non-Runnable chains (#12518, @​B-Step62)
• [Tracking] Fix an issue with the predict_proba inference method in the sklearn flavor when loading an sklearn pipeline object as pyfunc (#12554, @​WeichenXu123)
• [Tracking] Fix an issue with the Tracing implementation where other services usage of OpenTelemetry would activate MLflow tracing and cause errors (#12457, @​B-Step62)
• [Tracking / Databricks] Correct an issue when running dependency inference in Databricks that can cause duplicate dependency entries to be logged (#12493, @​sunishsheth2009)

Documentation updates:

• [Docs] Add documentation and guides for the MLflow tracing schema (#12521, @​BenWilson2)

Small bug fixes and documentation updates:

#12311, #12285, #12535, #12543, #12320, #12444, @​B-Step62; #12310, #12340, @​serena-ruan; #12409, #12432, #12471, #12497, #12499, @​harupy; #12555, @​nojaf; #12472, #12431, @​xq-yin; #12530, #12529, #12528, #12527, #12526, #12524, #12531, #12523, #12525, #12522, @​dbczumar; #12483, @​jsuchome; #12465, #12441, @​BenWilson2; #12450, @​StarryZhang-whu

• 84e6ded Run python3 dev/update_mlflow_versions.py pre-release ... (#12640)
• c737e0f fix merge conflict
• d8a19f1 Fix flaky langchain test (#12556)
• f4140df Fix `cannot import name 'split_torch_state_dict_into_shards' from 'huggingfac...
• dfd83e3 Fix a hang in tests/store/tracking/test_sqlalchemy_store.py (#12560)
• a8ee531 Add documentation for OpenAI autologging (#12608)
• f24c435 Fix stream trace logging with the OpenAI autologging implementation to record...
• 332c6d2 Handle AWS encryption details (#12495)
• 959abe2 Update json response style (#12553)
• 1d20b3b Fix batch inference for Whisper model and refactor tests (#12575)
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