[tune](deps): Bump mlflow from 1.19.0 to 1.21.0 in /python/requirements/tune

[dependabot]

Bumps mlflow from 1.19.0 to 1.21.0.

Release notes

Sourced from mlflow's releases.

MLflow 1.21.0 includes several major features and improvements:

Features:

• [UI] Add a diff-only toggle to the runs table for filtering out columns with constant values (#4862, @​marijncv)
• [UI] Add a duration column to the runs table (#4840, @​marijncv)
• [UI] Display the default column sorting order in the runs table (#4847, @​marijncv)
• [UI] Add start_time and duration information to exported runs CSV (#4851, @​marijncv)
• [UI] Add lifecycle stage information to the run page (#4848, @​marijncv)
• [UI] Collapse run page sections by default for space efficiency, limit artifact previews to 50MB (#4917, @​dbczumar)
• [Tracking] Introduce autologging capabilities for PaddlePaddle model training (#4751, @​jinminhao)
• [Tracking] Add an optional tags field to the CreateExperiment API (#4788, @​dbczumar; #4795, @​apurva-koti)
• [Tracking] Add support for deleting artifacts from SFTP stores via the mlflow gc CLI (#4670, @​afaul)
• [Tracking] Support AzureDefaultCredential for authenticating with Azure artifact storage backends (#4002, @​marijncv)
• [Models] Upgrade the fastai model flavor to support fastai V2 (>=2.4.1) (#4715, @​jinzhang21)
• [Models] Introduce an mlflow.prophet model flavor for Prophet time series models (#4773, @​BenWilson2)
• [Models] Introduce a CLI for publishing MLflow Models to the SageMaker Model Registry (#4669, @​jinnig)
• [Models] Print a warning when inferred model dependencies are not available on PyPI (#4891, @​dbczumar)
• [Models, Projects] Add MLFLOW_CONDA_CREATE_ENV_CMD for customizing Conda environment creation (#4746, @​giacomov)

Bug fixes and documentation updates:

• [UI] Fix an issue where column selections made in the runs table were persisted across experiments (#4926, @​sunishsheth2009)
• [UI] Fix an issue where the text null was displayed in the runs table column ordering dropdown (#4924, @​harupy)
• [UI] Fix a bug causing the metric plot view to display NaN values upon click (#4858, @​arpitjasa-db)
• [Tracking] Fix a model load failure for paths containing spaces or special characters on UNIX systems (#4890, @​BenWilson2)
• [Tracking] Correct a migration issue that impacted usage of MLflow Tracking with SQL Server (#4880, @​marijncv)
• [Tracking] Spark datasource autologging tags now respect the maximum allowable size for MLflow Tracking (#4809, @​dbczumar)
• [Model Registry] Add previously-missing certificate sources for Model Registry REST API requests (#4731, @​ericgosno91)
• [Model Registry] Throw an exception when users supply invalid Model Registry URIs for Databricks (#4877, @​yunpark93)
• [Scoring] Fix a schema enforcement error that incorrectly cast date-like strings to datetime objects (#4902, @​wentinghu)
• [Docs] Expand the documentation for the MLflow Skinny Client (#4113, @​eedeleon)

Small bug fixes and doc updates (#4928, #4919, #4927, #4922, #4914, #4899, #4893, #4894, #4884, #4864, #4823, #4841, #4817, #4796, #4797, #4767, #4768, #4757, @​harupy; #4863, #4838, @​marijncv; #4834, @​ksaur; #4772, @​louisguitton; #4801, @​twsl; #4929, #4887, #4856, #4843, #4789, #4780, @​WeichenXu123; #4769, @​Ark-kun; #4898, #4756, @​apurva-koti; #4784, @​lakshikaparihar; #4855, @​ianshan0915; #4790, @​eedeleon; #4931, #4857, #4846, 4777, #4748, @​dbczumar)

MLflow 1.20.2 is a patch release containing the following features and bug fixes:

Features:

• Enabled auto dependency inference in spark flavor in autologging (#4759, @​harupy)

Bug fixes and documentation updates:

• Increased MLflow client HTTP request timeout from 10s to 120s (#4764, @​jinzhang21)
• Fixed autologging compatibility bugs with TensorFlow and Keras version 2.6.0 (#4766, @​dbczumar)

Small bug fixes and doc updates (#4770, @​WeichenXu123)

MLflow 1.20.1

Note: The MLflow R package for 1.20.1 is not yet available but will be in a week because CRAN's submission system will be offline until September 1st.

... (truncated)

Changelog

Sourced from mlflow's changelog.

1.21.0 (2021-10-23)

MLflow 1.21.0 includes several major features and improvements:

Features:

• [UI] Add a diff-only toggle to the runs table for filtering out columns with constant values (#4862, @​marijncv)
• [UI] Add a duration column to the runs table (#4840, @​marijncv)
• [UI] Display the default column sorting order in the runs table (#4847, @​marijncv)
• [UI] Add start_time and duration information to exported runs CSV (#4851, @​marijncv)
• [UI] Add lifecycle stage information to the run page (#4848, @​marijncv)
• [UI] Collapse run page sections by default for space efficiency, limit artifact previews to 50MB (#4917, @​dbczumar)
• [Tracking] Introduce autologging capabilities for PaddlePaddle model training (#4751, @​jinminhao)
• [Tracking] Add an optional tags field to the CreateExperiment API (#4788, @​dbczumar; #4795, @​apurva-koti)
• [Tracking] Add support for deleting artifacts from SFTP stores via the mlflow gc CLI (#4670, @​afaul)
• [Tracking] Support AzureDefaultCredential for authenticating with Azure artifact storage backends (#4002, @​marijncv)
• [Models] Upgrade the fastai model flavor to support fastai V2 (>=2.4.1) (#4715, @​jinzhang21)
• [Models] Introduce an mlflow.prophet model flavor for Prophet time series models (#4773, @​BenWilson2)
• [Models] Introduce a CLI for publishing MLflow Models to the SageMaker Model Registry (#4669, @​jinnig)
• [Models] Print a warning when inferred model dependencies are not available on PyPI (#4891, @​dbczumar)
• [Models, Projects] Add MLFLOW_CONDA_CREATE_ENV_CMD for customizing Conda environment creation (#4746, @​giacomov)

Bug fixes and documentation updates:

• [UI] Fix an issue where column selections made in the runs table were persisted across experiments (#4926, @​sunishsheth2009)
• [UI] Fix an issue where the text null was displayed in the runs table column ordering dropdown (#4924, @​harupy)
• [UI] Fix a bug causing the metric plot view to display NaN values upon click (#4858, @​arpitjasa-db)
• [Tracking] Fix a model load failure for paths containing spaces or special characters on UNIX systems (#4890, @​BenWilson2)
• [Tracking] Correct a migration issue that impacted usage of MLflow Tracking with SQL Server (#4880, @​marijncv)
• [Tracking] Spark datasource autologging tags now respect the maximum allowable size for MLflow Tracking (#4809, @​dbczumar)
• [Model Registry] Add previously-missing certificate sources for Model Registry REST API requests (#4731, @​ericgosno91)
• [Model Registry] Throw an exception when users supply invalid Model Registry URIs for Databricks (#4877, @​yunpark93)
• [Scoring] Fix a schema enforcement error that incorrectly cast date-like strings to datetime objects (#4902, @​wentinghu)
• [Docs] Expand the documentation for the MLflow Skinny Client (#4113, @​eedeleon)

Small bug fixes and doc updates (#4928, #4919, #4927, #4922, #4914, #4899, #4893, #4894, #4884, #4864, #4823, #4841, #4817, #4796, #4797, #4767, #4768, #4757, @​harupy; #4863, #4838, @​marijncv; #4834, @​ksaur; #4772, @​louisguitton; #4801, @​twsl; #4929, #4887, #4856, #4843, #4789, #4780, @​WeichenXu123; #4769, @​Ark-kun; #4898, #4756, @​apurva-koti; #4784, @​lakshikaparihar; #4855, @​ianshan0915; #4790, @​eedeleon; #4931, #4857, #4846, 4777, #4748, @​dbczumar)

1.20.2 (2021-09-03)

MLflow 1.20.2 is a patch release containing the following features and bug fixes:

Features:

• Enabled auto dependency inference in spark flavor in autologging (#4759, @​harupy)

Bug fixes and documentation updates:

• Increased MLflow client HTTP request timeout from 10s to 120s (#4764, @​jinzhang21)
• Fixed autologging compatibility bugs with TensorFlow and Keras version 2.6.0 (#4766, @​dbczumar)

... (truncated)

Commits

• e0a0300 Update MLflow version to 1.21.0 (#4932)
• 290bf3d [ALL TESTS] Update (#4930)
• f01ac91 Revert "Add support to serve MLflow models through MLServer (#4845)" (#4931)
• 093ee6e Add support to serve MLflow models through MLServer (#4845)
• 0b39aca Set globally_configured flag correctly for spark and pyspark.ml autologging i...
• 233ab7f Specify datamodule in pytorch lightning tests (#4928)
• 380e2ba Avoid using defaults conda channel and use conda-forge instead (#4919)
• bec12da Persist preSwitchCategorizedUncheckedKeys and `postSwitchCategorizedUncheck...
• 68067c2 Support filtering runs by start_time (#4922)
• e119988 MLflow UI updates (#4917)
• Additional commits viewable in compare view

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