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Distributed(Data) Pipeline Uitilities
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Bump mlflow from 2.10.0 to 2.11.3 #72

Closed dependabot[bot] closed 4 months ago

dependabot[bot] commented 4 months ago

Bumps mlflow from 2.10.0 to 2.11.3.

Release notes

Sourced from mlflow's releases.

MLflow 2.11.3 is a patch release that addresses a security exploit with the Open Source MLflow tracking server and miscellaneous Databricks integration fixes

Bug fixes:

MLflow 2.11.2 is a patch release that introduces corrections for the support of custom transformer models, resolves LangChain integration problems, and includes several fixes to enhance stability.

Bug fixes:

[Security] Address LFI exploit (#11376, @​WeichenXu123) [Models] Fix transformers models implementation to allow for custom model and component definitions to be loaded properly (#11412, #11428 @​daniellok-db) [Models] Fix the LangChain flavor implementation to support defining an MLflow model as code (#11370, @​sunishsheth2009) [Models] Fix LangChain VectorSearch parsing errors (#11438, @​victorsun123) [Models] Fix LangChain import issue with the community package (#11450, @​sunishsheth2009) [Models] Fix serialization errors with RunnableAssign in the LangChain flavor (#11358, @​serena-ruan) [Models] Address import issues with LangChain community for Databricks models (#11350, @​liangz1) [Registry] Fix model metadata sharing within Databricks Unity Catalog (#11357, #11392 @​WeichenXu123) Small bug fixes and documentation updates:

#11321, #11323, @​michael-berk; #11326, #11455, @​B-Step62; #11333, @​cdancette; #11373, @​es94129; #11429, @​BenWilson2; #11413, @​GuyAglionby; #11338, #11339, #11355, #11432, #11441, @​daniellok-db; #11380, #11381, #11383, #11394, @​WeichenXu123; #11446, @​harupy;

MLflow 2.11.1 is a patch release, containing fixes for some Databricks integrations and other various issues.

Bug fixes:

Small bug fixes and documentation updates:

#11336, #11335, @​harupy; #11303, @​B-Step62; #11319, @​BenWilson2; #11306, @​daniellok-db

MLflow 2.11.0 includes several major features and improvements

With the MLflow 2.11.0 release, we're excited to bring a series of large and impactful features that span both GenAI and Deep Learning use cases.

  • The MLflow Tracking UI got an overhaul to better support the review and comparison of training runs for Deep Learning workloads. From grouping to large-scale metric plotting throughout the iterations of a DL model's training cycle, there are a large number of quality of life improvements to enhance your Deep Learning MLOps workflow.

  • Support for the popular PEFT library from HuggingFace is now available in the mlflow.transformers flavor. In addition to PEFT support, we've removed the restrictions on Pipeline types that can be logged to MLflow, as well as the ability to, when developing and testing models, log a transformers pipeline without copying foundational model weights. These enhancements strive to make the transformers flavor more useful for cutting-edge GenAI models, new pipeline types, and to simplify the development process of prompt engineering, fine-tuning, and to make iterative development faster and cheaper. Give the updated flavor a try today! (#11240, @​B-Step62)

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.11.3 (2024-03-21)

MLflow 2.11.3 is a patch release that addresses a security exploit with the Open Source MLflow tracking server and miscellaneous Databricks integration fixes

Bug fixes:

2.11.2 (2024-03-19)

MLflow 2.11.2 is a patch release that introduces corrections for the support of custom transformer models, resolves LangChain integration problems, and includes several fixes to enhance stability.

Bug fixes:

Small bug fixes and documentation updates:

#11321, #11323, @​michael-berk; #11326, #11455, @​B-Step62; #11333, @​cdancette; #11373, @​es94129; #11429, @​BenWilson2; #11413, @​GuyAglionby; #11338, #11339, #11355, #11432, #11441, @​daniellok-db; #11380, #11381, #11383, #11394, @​WeichenXu123; #11446, @​harupy;

2.11.1 (2024-03-06)

MLflow 2.11.1 is a patch release, containing fixes for some Databricks integrations and other various issues.

Bug fixes:

Small bug fixes and documentation updates:

#11336, #11335, @​harupy; #11303, @​B-Step62; #11319, @​BenWilson2; #11306, @​daniellok-db

2.11.0 (2024-03-01)

MLflow 2.11.0 includes several major features and improvements

With the MLflow 2.11.0 release, we're excited to bring a series of large and impactful features that span both GenAI and Deep Learning use cases.

... (truncated)

Commits
  • d41c775 Deleting the global context for config path in langchain (#11494)
  • 2d53d94 Run python3 dev/update_mlflow_versions.py pre-release ... (#11487)
  • 114955c Fix for get_databricks_host_creds in Model Serving Environment (#11468)
  • 6fe36b4 Fix databricks runtime checking issue in databricks DCS cluster (#11483)
  • d563339 Fix an issue with chat request validation for LangChain flavor (#11478)
  • 2577d57 Fix URI local path traversal (#11473)
  • fee3067 Making code_path as optional when the chain is a str path (#11436)
  • c4bf4a9 Run python3 dev/update_mlflow_versions.py pre-release ... (#11465)
  • ac713d0 Cherry picks for 2.11.2 release (#11448)
  • abad05e Run python3 dev/update_mlflow_versions.py pre-release ... (#11340)
  • Additional commits viewable in compare view


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