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@dependabot dependabot bot commented on behalf of github Nov 16, 2023

Bumps mlflow from 2.8.0 to 2.8.1.

Release notes

Sourced from mlflow's releases.

MLflow 2.8.1 is a patch release, containing some critical bug fixes and an update to our continued work on reworking our docs.

Notable details:

  • The API mlflow.llm.log_predictions is being marked as deprecated, as its functionality has been incorporated into mlflow.log_table. This API will be removed in the 2.9.0 release. (#10414, @​dbczumar)

Bug fixes:

  • [Artifacts] Fix a regression in 2.8.0 where downloading a single file from a registered model would fail (#10362, @​BenWilson2)
  • [Evaluate] Fix the Azure OpenAI integration for mlflow.evaluate when using LLM judge metrics (#10291, @​prithvikannan)
  • [Evaluate] Change Examples to optional for the make_genai_metric API (#10353, @​prithvikannan)
  • [Evaluate] Remove the fastapi dependency when using mlflow.evaluate for LLM results (#10354, @​prithvikannan)
  • [Evaluate] Fix syntax issues and improve the formatting for generated prompt templates (#10402, @​annzhang-db)
  • [Gateway] Fix the Gateway configuration validator pre-check for OpenAI to perform instance type validation (#10379, @​BenWilson2)
  • [Tracking] Fix an intermittent issue with hanging threads when using asynchronous logging (#10374, @​chenmoneygithub)
  • [Tracking] Add a timeout for the mlflow.login() API to catch invalid hostname configuration input errors (#10239, @​chenmoneygithub)
  • [Tracking] Add a flush operation at the conclusion of logging system metrics (#10320, @​chenmoneygithub)
  • [Models] Correct the prompt template generation logic within the Prompt Engineering UI so that the prompts can be used in the Python API (#10341, @​daniellok-db)
  • [Models] Fix an issue in the SHAP model explainability functionality within mlflow.shap.log_explanation so that duplicate or conflicting dependencies are not registered when logging (#10305, @​BenWilson2)

Documentation updates:

Small bug fixes and documentation updates:

#10367, #10359, #10358, #10340, #10310, #10276, #10277, #10247, #10260, #10220, #10263, #10259, #10219, @​harupy; #10313, #10303, #10213, #10272, #10282, #10283, #10231, #10256, #10242, #10237, #10238, #10233, #10229, #10211, #10231, #10256, #10242, #10238, #10237, #10229, #10233, #10211, @​BenWilson2; #10375, @​serena-ruan; #10330, @​Haxatron; #10342, #10249, #10249, @​B-Step62; #10355, #10301, #10286, #10257, #10236, #10270, #10236, @​prithvikannan; #10321, #10258, @​jerrylian-db; #10245, @​jessechancy; #10278, @​daniellok-db; #10244, @​gabrielfu; #10226, @​milinddethe15; #10390, @​bbqiu; #10232, @​sunishsheth2009

Changelog

Sourced from mlflow's changelog.

2.8.1 (2023-11-14)

MLflow 2.8.1 is a patch release, containing some critical bug fixes and an update to our continued work on reworking our docs.

Notable details:

  • The API mlflow.llm.log_predictions is being marked as deprecated, as its functionality has been incorporated into mlflow.log_table. This API will be removed in the 2.9.0 release. (#10414, @​dbczumar)

Bug fixes:

  • [Artifacts] Fix a regression in 2.8.0 where downloading a single file from a registered model would fail (#10362, @​BenWilson2)
  • [Evaluate] Fix the Azure OpenAI integration for mlflow.evaluate when using LLM judge metrics (#10291, @​prithvikannan)
  • [Evaluate] Change Examples to optional for the make_genai_metric API (#10353, @​prithvikannan)
  • [Evaluate] Remove the fastapi dependency when using mlflow.evaluate for LLM results (#10354, @​prithvikannan)
  • [Evaluate] Fix syntax issues and improve the formatting for generated prompt templates (#10402, @​annzhang-db)
  • [Gateway] Fix the Gateway configuration validator pre-check for OpenAI to perform instance type validation (#10379, @​BenWilson2)
  • [Tracking] Fix an intermittent issue with hanging threads when using asynchronous logging (#10374, @​chenmoneygithub)
  • [Tracking] Add a timeout for the mlflow.login() API to catch invalid hostname configuration input errors (#10239, @​chenmoneygithub)
  • [Tracking] Add a flush operation at the conclusion of logging system metrics (#10320, @​chenmoneygithub)
  • [Models] Correct the prompt template generation logic within the Prompt Engineering UI so that the prompts can be used in the Python API (#10341, @​daniellok-db)
  • [Models] Fix an issue in the SHAP model explainability functionality within mlflow.shap.log_explanation so that duplicate or conflicting dependencies are not registered when logging (#10305, @​BenWilson2)

Documentation updates:

Small bug fixes and documentation updates:

#10367, #10359, #10358, #10340, #10310, #10276, #10277, #10247, #10260, #10220, #10263, #10259, #10219, @​harupy; #10313, #10303, #10213, #10272, #10282, #10283, #10231, #10256, #10242, #10237, #10238, #10233, #10229, #10211, #10231, #10256, #10242, #10238, #10237, #10229, #10233, #10211, @​BenWilson2; #10375, @​serena-ruan; #10330, @​Haxatron; #10342, #10249, #10249, @​B-Step62; #10355, #10301, #10286, #10257, #10236, #10270, #10236, @​prithvikannan; #10321, #10258, @​jerrylian-db; #10245, @​jessechancy; #10278, @​daniellok-db; #10244, @​gabrielfu; #10226, @​milinddethe15; #10390, @​bbqiu; #10232, @​sunishsheth2009

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Bumps [mlflow](https://github.com/mlflow/mlflow) from 2.8.0 to 2.8.1.
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v2.8.0...v2.8.1)

---
updated-dependencies:
- dependency-name: mlflow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Nov 16, 2023
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dependabot bot commented on behalf of github Dec 11, 2023

Superseded by #84.

@dependabot dependabot bot closed this Dec 11, 2023
@dependabot dependabot bot deleted the dependabot/pip/mlflow-2.8.1 branch December 11, 2023 22:00
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