[tune](deps): Bump mlflow from 1.14.0 to 1.16.0 in /python/requirements

[dependabot]

Bumps mlflow from 1.14.0 to 1.16.0.

Release notes

Sourced from mlflow's releases.

MLflow 1.16.0 includes several major features and improvements:

Features:

• Add mlflow.pyspark.ml.autolog() API for autologging of pyspark.ml estimators (#4228, @​WeichenXu123)
• Add mlflow.catboost.log_model, mlflow.catboost.save_model, mlflow.catboost.load_model APIs for CatBoost model persistence (#2417, @​harupy)
• Enable mlflow.pyfunc.spark_udf to use column names from model signature by default (#4236, @​Loquats)
• Add datetime data type for model signatures (#4241, @​vperiyasamy)
• Add mlflow.sklearn.eval_and_log_metrics API that computes and logs metrics for the given scikit-learn model and labeled dataset. (#4218, @​alkispoly-db)

Bug fixes and documentation updates:

• Fix a database migration error for PostgreSQL (#4211, @​dolfinus)
• Fix autologging silent mode bugs (#4231, @​dbczumar)

Small bug fixes and doc updates (#4255, #4252, #4254, #4253, #4242, #4247, #4243, #4237, #4233, @​harupy; #4225, @​dmatrix; #4206, @​mlflow-automation; #4207, @​shrinath-suresh; #4264, @​WeichenXu123; #3884, #3866, #3885, @​ankan94; #4274, #4216, @​dbczumar)

MLflow 1.15.0

1.15.0 (2021-03-26)

MLflow 1.15.0 includes several features, bug fixes and improvements. Notably, it includes a number of improvements to MLflow autologging:

Features:

• Add silent=False option to all autologging APIs, to allow suppressing MLflow warnings and logging statements during autologging setup and training (#4173, @​dbczumar)
• Add disable_for_unsupported_versions=False option to all autologging APIs, to disable autologging for versions of ML frameworks that have not been explicitly tested against the current version of the MLflow client (#4119, @​WeichenXu123)

Bug fixes:

• Autologged runs are now terminated when execution is interrupted via SIGINT (#4200, @​dbczumar)
• The R mlflow_get_experiment API now returns the same tag structure as mlflow_list_experiments and mlflow_get_run (#4017, @​lorenzwalthert)
• Fix bug where mlflow.tensorflow.autolog would previously mutate the user-specified callbacks list when fitting tf.keras models (#4195, @​dbczumar)
• Fix bug where SQL-backed MLflow tracking server initialization failed when using the MLflow skinny client (#4161, @​eedeleon)
• Model version creation (e.g. via mlflow.register_model) now fails if the model version status is not READY (#4114, @​ankit-db)

Small bug fixes and doc updates (#4191, #4149, #4162, #4157, #4155, #4144, #4141, #4138, #4136, #4133, #3964, #4130, #4118, @​harupy; #4152, @​mlflow-automation; #4139, @​WeichenXu123; #4193, @​smurching; #4029, @​architkulkarni; #4134, @​xhochy; #4116, @​wenleix; #4160, @​wentinghu; #4203, #4184, #4167, @​dbczumar)

MLflow 1.14.1 is a patch release containing the following bug fix:

• Fix issues in handling flexible numpy datatypes in TensorSpec (#4147, @​arjundc-db)

Changelog

Sourced from mlflow's changelog.

1.16.0 (2021-04-22)

MLflow 1.16.0 includes several major features and improvements:

Features:

• Add mlflow.pyspark.ml.autolog() API for autologging of pyspark.ml estimators (#4228, @​WeichenXu123)
• Add mlflow.catboost.log_model, mlflow.catboost.save_model, mlflow.catboost.load_model APIs for CatBoost model persistence (#2417, @​harupy)
• Enable mlflow.pyfunc.spark_udf to use column names from model signature by default (#4236, @​Loquats)
• Add datetime data type for model signatures (#4241, @​vperiyasamy)
• Add mlflow.sklearn.eval_and_log_metrics API that computes and logs metrics for the given scikit-learn model and labeled dataset. (#4218, @​alkispoly-db)

Bug fixes and documentation updates:

• Fix a database migration error for PostgreSQL (#4211, @​dolfinus)
• Fix autologging silent mode bugs (#4231, @​dbczumar)

Small bug fixes and doc updates (#4255, #4252, #4254, #4253, #4242, #4247, #4243, #4237, #4233, @​harupy; #4225, @​dmatrix; #4206, @​mlflow-automation; #4207, @​shrinath-suresh; #4264, @​WeichenXu123; #3884, #3866, #3885, @​ankan94; #4274, #4216, @​dbczumar)

1.15.0 (2021-03-26)

MLflow 1.15.0 includes several features, bug fixes and improvements. Notably, it includes a number of improvements to MLflow autologging:

Features:

• Add silent=False option to all autologging APIs, to allow suppressing MLflow warnings and logging statements during autologging setup and training (#4173, @​dbczumar)
• Add disable_for_unsupported_versions=False option to all autologging APIs, to disable autologging for versions of ML frameworks that have not been explicitly tested against the current version of the MLflow client (#4119, @​WeichenXu123)

Bug fixes:

• Autologged runs are now terminated when execution is interrupted via SIGINT (#4200, @​dbczumar)
• The R mlflow_get_experiment API now returns the same tag structure as mlflow_list_experiments and mlflow_get_run (#4017, @​lorenzwalthert)
• Fix bug where mlflow.tensorflow.autolog would previously mutate the user-specified callbacks list when fitting tf.keras models (#4195, @​dbczumar)
• Fix bug where SQL-backed MLflow tracking server initialization failed when using the MLflow skinny client (#4161, @​eedeleon)
• Model version creation (e.g. via mlflow.register_model) now fails if the model version status is not READY (#4114, @​ankit-db)

Small bug fixes and doc updates (#4191, #4149, #4162, #4157, #4155, #4144, #4141, #4138, #4136, #4133, #3964, #4130, #4118, @​harupy; #4152, @​mlflow-automation; #4139, @​WeichenXu123; #4193, @​smurching; #4029, @​architkulkarni; #4134, @​xhochy; #4116, @​wenleix; #4160, @​wentinghu; #4203, #4184, #4167, @​dbczumar)

1.14.1 (2021-03-01)

MLflow 1.14.1 is a patch release containing the following bug fix:

• Fix issues in handling flexible numpy datatypes in TensorSpec (#4147, @​arjundc-db)

Commits

• 756ba40 Cherry-pick ML pakcage versions update (#4286)
• 56637e8 Update MLflow version to 1.16.0 (#4281)
• 849bde9 Fix flaky test (#4274)
• 11898c5 Add argument type annotations (#4255)
• 25379a3 Enable spark_udf to use column names from model signature by default (#4236)
• a0e66ce Update Cross version tests on spark to include allowlist suite. (#4264)
• c603c37 Move utility functions used in sklearn autologging to reuse them in pyspark a...
• 92520df Implementation: pyspark autologging for basic estimator (#4228)
• 3b49b28 Add datetime data type for MLflow model signatures (#4241)
• 1e62cc3 remove h5py from extra-ml-requirements.txt (#4254)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #18.