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chore(deps): bump mlflow from 1.27.0 to 2.14.2 in /server #2689

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@dependabot dependabot bot commented on behalf of github Sep 5, 2024

Bumps mlflow from 1.27.0 to 2.14.2.

Release notes

Sourced from mlflow's releases.

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:

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

MLflow 2.14.1 is a patch release that contains several bug fixes and documentation improvements

Bug fixes:

Documentation updates:

Small bug fixes and documentation updates:

#12415, #12396, #12394, @​harupy; #12403, #12382, @​BenWilson2; #12397, @​B-Step62

v2.14.0

2.14.0 (2024-06-17)

MLflow 2.14.0 includes several major features and improvements that we're very excited to announce!

Major features:

  • MLflow Tracing: Tracing is powerful tool designed to enhance your ability to monitor, analyze, and debug GenAI applications by allowing you to inspect the intermediate outputs generated as your application handles a request. This update comes with an automatic LangChain integration to make it as easy as possible to get started, but we've also implemented high-level fluent APIs, and low-level client APIs for users who want more control over their trace instrumentation. For more information, check out the guide in our docs!
  • Unity Catalog Integration: The MLflow Deployments server now has an integration with Unity Catalog, allowing you to leverage registered functions as tools for enhancing your chat application. For more information, check out this guide!
  • OpenAI Autologging: Autologging support has now been added for the OpenAI model flavor. With this feature, MLflow will automatically log a model upon calling the OpenAI API. Each time a request is made, the inputs and outputs will be logged as artifacts. Check out the guide for more information!

Other Notable Features:

... (truncated)

Changelog

Sourced from mlflow's changelog.

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:

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

2.14.1 (2024-06-20)

MLflow 2.14.1 is a patch release that contains several bug fixes and documentation improvements

Bug fixes:

Documentation updates:

Small bug fixes and documentation updates:

#12415, #12396, #12394, @​harupy; #12403, #12382, @​BenWilson2; #12397, @​B-Step62

2.14.0 (2024-06-17)

MLflow 2.14.0 includes several major features and improvements that we're very excited to announce!

Major features:

  • MLflow Tracing: Tracing is powerful tool designed to enhance your ability to monitor, analyze, and debug GenAI applications by allowing you to inspect the intermediate outputs generated as your application handles a request. This update comes with an automatic LangChain integration to make it as easy as possible to get started, but we've also implemented high-level fluent APIs, and low-level client APIs for users who want more control over their trace instrumentation. For more information, check out the guide in our docs!
  • Unity Catalog Integration: The MLflow Deployments server now has an integration with Unity Catalog, allowing you to leverage registered functions as tools for enhancing your chat application. For more information, check out this guide!
  • OpenAI Autologging: Autologging support has now been added for the OpenAI model flavor. With this feature, MLflow will automatically log a model upon calling the OpenAI API. Each time a request is made, the inputs and outputs will be logged as artifacts. Check out the guide for more information!

... (truncated)

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Bumps [mlflow](https://github.com/mlflow/mlflow) from 1.27.0 to 2.14.2.
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v1.27.0...v2.14.2)

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

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Sep 5, 2024
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codecov bot commented Sep 5, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 70.52%. Comparing base (c425d2e) to head (4cc8eb7).

Additional details and impacted files
@@           Coverage Diff           @@
##             main    #2689   +/-   ##
=======================================
  Coverage   70.52%   70.52%           
=======================================
  Files          96       96           
  Lines        6654     6654           
  Branches      769      769           
=======================================
  Hits         4693     4693           
  Misses       1885     1885           
  Partials       76       76           
Flag Coverage Δ
frontend 70.52% <ø> (ø)
javascript 70.52% <ø> (ø)
unitTest 70.52% <ø> (ø)

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@kaloster kaloster closed this Sep 9, 2024
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dependabot bot commented on behalf of github Sep 9, 2024

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.

@dependabot dependabot bot deleted the dependabot/pip/server/mlflow-2.14.2 branch September 9, 2024 16:31
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