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Upgrade: Bump mlflow from 1.4.0 to 2.3.1 in /dockerfile_airflow #18

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Upgrade: Bump mlflow from 1.4.0 to 2.3.1 in /dockerfile_airflow #18

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@dependabot dependabot bot commented on behalf of github May 1, 2023

Bumps mlflow from 1.4.0 to 2.3.1.

Release notes

Sourced from mlflow's releases.

MLflow 2.3.1 is a patch release containing bug fixes and a security patch for GHSA-83fm-w79m-64r5. If you are using mlflow server or mlflow ui, we recommend upgrading to MLflow 2.3.1 as soon as possible.

Security patches:

  • [Security] Fix critical LFI attack vulnerability by disabling the ability to provide relative paths in registered model sources (#8281, @​BenWilson2)

Bug fixes:

  • [Tracking] Fix an issue causing file and model uploads to hang on Databricks (#8348, @​harupy)
  • [Tracking / Model Registry] Fix an issue causing file and model downloads to hang on Databricks (#8350, @​dbczumar)
  • [Scoring] Fix regression in schema enforcement for model serving when using the inputs format for inference (#8326, @​BenWilson2)
  • [Model Registry] Fix regression in model naming parsing where special characters were not accepted in model names (#8322, @​arpitjasa-db)
  • [Recipes] Fix card rendering with the pandas profiler to handle columns containing all null values (#8263, @​sunishsheth2009)

MLflow 2.3.0 includes several major features and improvements

Features:

Bug fixes:

  • [Models] Fix a bug with tensorflow autologging for models with multiple inputs (#8097, @​jaume-ferrarons)
  • [Recipes] Fix a bug with Pandas 2.0 updates for profiler rendering of datetime types (#7925, @​sunishsheth2009)
  • [Tracking] Prevent exceptions from being raised if a parameter is logged with an existing key whose value is identical to the logged parameter (#8038, @​AdamStelmaszczyk)
  • [Tracking] Fix an issue with deleting experiments in the FileStore backend (#8178, @​mariusschlegel)
  • [Tracking] Fix a UI bug where the "Source Run" field in the Model Version page points to an incorrect set of artifacts (#8156, @​WeichenXu123)
  • [Tracking] Fix a bug wherein renaming a run reverts its current lifecycle status to UNFINISHED (#8154, @​WeichenXu123)
  • [Tracking] Fix a bug where a file URI could be used as a model version source (#8126, @​harupy)
  • [Projects] Fix an issue with MLflow projects that have submodules contained within a project (#8050, @​kota-iizuka)
  • [Examples] Fix lightning hyperparameter tuning examples (#8039, @​BenWilson2)
  • [Server-infra] Fix bug with Cache-Control headers for static server files (#8016, @​jmahlik)

Documentation updates:

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.3.1 (2023-04-27)

MLflow 2.3.1 is a patch release containing the following bug fixes and changes:

Bug fixes:

  • [Security] Fix critical LFI attack vulnerability by disabling the ability to provide relative paths in registered model sources (#8281, @​BenWilson2)
    • If you are using mlflow server or mlflow ui, we recommend upgrading to MLflow 2.3.1 as soon as possible. For more details, see GHSA-xg73-94fp-g449.
  • [Tracking] Fix an issue causing file and model uploads to hang on Databricks (#8348, @​harupy)
  • [Tracking / Model Registry] Fix an issue causing file and model downloads to hang on Databricks (#8350, @​dbczumar)
  • [Scoring] Fix regression in schema enforcement for model serving when using the inputs format for inference (#8326, @​BenWilson2)
  • [Model Registry] Fix regression in model naming parsing where special characters were not accepted in model names (#8322, @​arpitjasa-db)
  • [Recipes] Fix card rendering with the pandas profiler to handle columns containing all null values (#8263, @​sunishsheth2009)

Documentation updates:

Small bug fixes and documentation updates:

#8324, #8325, @​smurching; #8313, @​dipanjank; #8323, @​liangz1; #8331, #8328, #8319, #8316, #8308, #8293, #8289, #8283, #8284, #8285, #8282, #8241, #8270, #8272, #8271, #8268, @​harupy; #8312, #8294, #8295, #8279, #8267, @​BenWilson2; #8290, @​jinzhang21; #8257, @​WeichenXu123; #8307, @​arpitjasa-db

2.3.0 (2023-04-18)

MLflow 2.3.0 includes several major features and improvements

Features:

Bug fixes:

... (truncated)

Commits
  • 95dc319 Make a short sleep to avoid busy waiting (#8354)
  • cb5cc36 Use separate thread pool executors when uploading chunks to avoid deadlock (#...
  • 2b50b88 Revert (#8351)
  • af38edf Handle slashes in _validate_non_local_source_contains_relative_paths (#8338)
  • 9e35947 Remove virtualenv environment if we encounter unexpected error (#8328)
  • 2470fd1 Create a new request session in each process (#8331)
  • b7d8406 Merge branch 'master' into branch-2.3
  • cef03da Fix regression in schema enforcement (#8326)
  • ef7b6ed Update parse model URI to prevent breaking old cases while supporting aliases...
  • 64270e2 Improve UC model registry client error messages when specifying nonexistent s...
  • Additional commits viewable in compare view

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Upgrade: Bump mlflow from 1.4.0 to 2.3.1 in /dockerfile_airflow
c165a9d 
Bumps [mlflow](https://github.com/mlflow/mlflow) from 1.4.0 to 2.3.1.
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v1.4.0...v2.3.1)

---
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 May 1, 2023
@dependabot dependabot bot mentioned this pull request May 1, 2023
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