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Bump mlflow from 1.6.0 to 2.2.1 #2

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@dependabot dependabot bot commented on behalf of github Mar 24, 2023

Bumps mlflow from 1.6.0 to 2.2.1.

Release notes

Sourced from mlflow's releases.

MLflow 2.2.1 is a patch release containing the following bug fixes and security patches:

MLflow 2.2.0 includes several major features and improvements

Features:

Bug fixes:

  • [Recipes] Fix dataset format validation in the ingest step for custom dataset sources (#7638, @​sunishsheth2009)
  • [Recipes] Fix bug in identification of worst performing examples during training (#7658, @​sunishsheth2009)
  • [Recipes] Ensure consistent rendering of the recipe graph when inspect() is called (#7852, @​sunishsheth2009)
  • [Recipes] Correctly respect positive_class configuration in the transform step (#7626, @​sunishsheth2009)
  • [Recipes] Make logged metric names consistent with mlflow.evaluate() (#7613, @​sunishsheth2009)
  • [Recipes] Add run_id and artifact_path keys to logged MLmodel files (#7651, @​sunishsheth2009)
  • [UI] Fix bugs in UI validation of experiment names, model names, and tag keys (#7818, @​subramaniam02)
  • [Tracking] Resolve artifact locations to absolute paths when creating experiments (#7670, @​bali0019)
  • [Tracking] Exclude Delta checkpoints from Spark datasource autologging (#7902, @​harupy)
  • [Tracking] Consistently return an empty list from GetMetricHistory when a metric does not exist (#7589, @​bali0019; #7659, @​harupy)
  • [Artifacts] Fix support for artifact operations on Windows paths in UNC format (#7750, @​bali0019)
  • [Artifacts] Fix bug in HDFS artifact listing (#7581, @​pwnywiz)
  • [Model Registry] Disallow creation of model versions with local filesystem sources in mlflow server (#7908, @​harupy)
  • [Model Registry] Fix handling of deleted model versions in FileStore (#7716, @​harupy)
  • [Model Registry] Correctly initialize Model Registry SQL tables independently of MLflow Tracking (#7704, @​harupy)
  • [Models] Correctly move PyTorch model outputs from GPUs to CPUs during inference with pyfunc (#7885, @​ankit-db)
  • [Build] Fix compatiblility issues with Python installations compiled using PYTHONOPTIMIZE=2 (#7791, @​dbczumar)
  • [Build] Fix compatibility issues with the upcoming pandas 2.0 release (#7899, @​harupy; #7910, @​dbczumar)

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.2.1 (2023-03-02)

MLflow 2.2.1 is a patch release containing the following bug fixes:

2.2.0 (2023-02-28)

MLflow 2.2.0 includes several major features and improvements

Features:

Bug fixes:

  • [Recipes] Fix dataset format validation in the ingest step for custom dataset sources (#7638, @​sunishsheth2009)
  • [Recipes] Fix bug in identification of worst performing examples during training (#7658, @​sunishsheth2009)
  • [Recipes] Ensure consistent rendering of the recipe graph when inspect() is called (#7852, @​sunishsheth2009)
  • [Recipes] Correctly respect positive_class configuration in the transform step (#7626, @​sunishsheth2009)
  • [Recipes] Make logged metric names consistent with mlflow.evaluate() (#7613, @​sunishsheth2009)
  • [Recipes] Add run_id and artifact_path keys to logged MLmodel files (#7651, @​sunishsheth2009)
  • [UI] Fix bugs in UI validation of experiment names, model names, and tag keys (#7818, @​subramaniam02)
  • [Tracking] Resolve artifact locations to absolute paths when creating experiments (#7670, @​bali0019)
  • [Tracking] Exclude Delta checkpoints from Spark datasource autologging (#7902, @​harupy)
  • [Tracking] Consistently return an empty list from GetMetricHistory when a metric does not exist (#7589, @​bali0019; #7659, @​harupy)
  • [Artifacts] Fix support for artifact operations on Windows paths in UNC format (#7750, @​bali0019)
  • [Artifacts] Fix bug in HDFS artifact listing (#7581, @​pwnywiz)
  • [Model Registry] Disallow creation of model versions with local filesystem sources in mlflow server (#7908, @​harupy)
  • [Model Registry] Fix handling of deleted model versions in FileStore (#7716, @​harupy)
  • [Model Registry] Correctly initialize Model Registry SQL tables independently of MLflow Tracking (#7704, @​harupy)

... (truncated)

Commits
  • ffe005c Run python3 dev/update_mlflow_versions.py pre-release --new-version 2.2.1 (#7...
  • 355e148 Revert "Run python3 dev/update_ml_package_versions.py (#7937)"
  • 3e09e42 Run python3 dev/update_ml_package_versions.py (#7937)
  • 7e4de89 Use default max results of 10000 for model registry search_model_versions() A...
  • 8ea83b7 Improve error handling when wheel download fails (#7920)
  • f64ebc5 #7921 Modify pytorch predict to use the GPU if it's available (#7922)
  • dd0709c Experiment list virtual (#7804)
  • e103f97 Ignore delta checkpoint files in spark autologging (#7902)
  • 8fd7ddc Bump pandas (#7910)
  • 978d68c Run python3 dev/update_ml_package_versions.py (#7905)
  • Additional commits viewable in compare view

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Bumps [mlflow](https://github.com/mlflow/mlflow) from 1.6.0 to 2.2.1.
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v1.6.0...v2.2.1)

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

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Mar 24, 2023
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dependabot bot commented on behalf of github May 1, 2023

Superseded by #3.

@dependabot dependabot bot closed this May 1, 2023
@dependabot dependabot bot deleted the dependabot/pip/mlflow-2.2.1 branch May 1, 2023 13:47
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