[tune](deps): Bump mlflow from 1.21.0 to 1.26.0 in /python/requirements/ml

[dependabot]

Bumps mlflow from 1.21.0 to 1.26.0.

Release notes

Sourced from mlflow's releases.

MLflow 1.26.0 includes several major features and improvements:

Features:

• [CLI] Add endpoint naming and options configuration to the deployment CLI (#5731, @​trangevi)
• [Build,Doc] Add development environment setup script for Linux and MacOS x86 Operating Systems (#5717, @​BenWilson2)
• [Tracking] Update mlflow.set_tracking_uri to add support for paths defined as pathlib.Path in addition to existing str path declarations (#5824, @​cacharle)
• [Scoring] Add custom timeout override option to the scoring server CLI to support high latency models (#5663, @​sniafas)
• [UI] Add sticky header to experiment run list table to support column name visibility when scrolling beyond page fold (#5818, @​hubertzub-db)
• [Artifacts] Add GCS support for MLflow garbage collection (#5811, @​aditya-iyengar-rtl-de)
• [Evaluate] Add pos_label argument for eval_and_log_metrics API to support accurate binary classifier evaluation metrics (#5807, @​yxiong)
• [UI] Add fields for latest, minimum and maximum metric values on metric display page (#5574, @​adamreeve)
• [Models] Add support for input_example and signature logging for pyspark ml flavor when using autologging (#5719, @​bali0019)
• [Models] Add virtualenv environment manager support for mlflow models docker-build CLI (#5728, @​harupy)
• [Models] Add support for wildcard module matching in log_model_allowlist for PySpark models (#5723, @​serena-ruan)
• [Projects] Add virtualenv environment manager support for MLflow projects (#5631, @​harupy)
• [Models] Add virtualenv environment manager support for MLflow Models (#5380, @​harupy)
• [Models] Add virtualenv environment manager support for mlflow.pyfunc.spark_udf (#5676, @​WeichenXu123)
• [Models] Add support for input_example and signature logging for tensorflow flavor when using autologging (#5510, @​bali0019)
• [Server-infra] Add JSON Schema Type Validation to enable raising 400 errors on malformed requests to REST API endpoints (#5458, @​mrkaye97)
• [Scoring] Introduce abstract endpoint interface for mlflow deployments (#5378, @​trangevi)
• [UI] Add End Time and Duration fields to run comparison page (#3378, @​RealArpanBhattacharya)
• [Serving] Add schema validation support when parsing input csv data for model serving (#5531, @​vvijay-bolt)

Bug fixes and documentation updates:

• [Models] Fix REPL ID propagation from datasource listener to publisher for Spark data sources (#5826, @​dbczumar)
• [UI] Update ag-grid and implement getRowId to improve performance in the runs table visualization (#5725, @​adamreeve)
• [Serving] Fix tf-serving parsing to support columnar-based formatting (#5825, @​arjundc-db)
• [Artifacts] Update log_artifact to support models larger than 2GB in HDFS (#5812, @​hitchhicker)
• [Models] Fix autologging to support lightgbm metric names with "@" symbols within their names (#5785, @​mengchendd)
• [Models] Pyfunc: Fix code directory resolution of subdirectories (#5806, @​dbczumar)
• [Server-Infra] Fix mlflow-R server starting failure on windows (#5767, @​serena-ruan)
• [Docs] Add documentation for virtualenv environment manager support for MLflow projects (#5727, @​harupy)
• [UI] Fix artifacts display sizing to support full width rendering in preview pane (#5606, @​szczeles)
• [Models] Fix local hostname issues when loading spark model by binding driver address to localhost (#5753, @​WeichenXu123)
• [Models] Fix autologging validation and batch_size calculations for tensorflow flavor (#5683, @​MarkYHZhang)
• [Artifacts] Fix SqlAlchemyStore.log_batch implementation to make it log data in batches (#5460, @​erensahin)

Small bug fixes and doc updates (#5858, #5859, #5853, #5854, #5845, #5829, #5842, #5834, #5795, #5777, #5794, #5766, #5778, #5765, #5763, #5768, #5769, #5760, #5727, #5748, #5726, #5721, #5711, #5710, #5708, #5703, #5702, #5696, #5695, #5669, #5670, #5668, #5661, #5638, @​harupy; #5749, @​arpitjasa-db; #5675, @​Davidswinkels; #5803, #5797, @​ahlag; #5743, @​kzhang01; #5650, #5805, #5724, #5720, #5662, @​BenWilson2; #5627, @​cterrelljones; #5646, @​kutal10; #5758, @​davideli-db; #5810, @​rahulporuri; #5816, #5764, @​shrinath-suresh; #5869, #5715, #5737, #5752, #5677, #5636, @​WeichenXu123; #5735, @​subramaniam02; #5746, @​akaigraham; #5734, #5685, @​lucalves; #5761, @​marcelatoffernet; #5707, @​aashish-khub; #5808, @​ketangangal; #5730, #5700, @​shaikmoeed; #5775, @​dbczumar; #5747, @​zhixuanevelynwu)

Note: Version 1.26.0 of the MLflow R package has not yet been released. It will be available on CRAN within the next week.

MLflow 1.25.1 is a patch release containing the following bug fixes:

• [Models] Fix a pyfunc artifact overwrite bug when multiple artifacts are saved in sub-directories (#5657, @​kyle-jarvis)
• [Scoring] Fix permissions issue for Spark workers accessing model artifacts from a temp directory created by the driver (#5684, @​WeichenXu123)

Note: Version 1.25.1 of the MLflow R package has not yet been released. It will be available on CRAN within the next week.

... (truncated)

Changelog

Sourced from mlflow's changelog.

1.26.0 (2022-05-16)

MLflow 1.26.0 includes several major features and improvements:

Features:

• [CLI] Add endpoint naming and options configuration to the deployment CLI (#5731, @​trangevi)
• [Build,Doc] Add development environment setup script for Linux and MacOS x86 Operating Systems (#5717, @​BenWilson2)
• [Tracking] Update mlflow.set_tracking_uri to add support for paths defined as pathlib.Path in addition to existing str path declarations (#5824, @​cacharle)
• [Scoring] Add custom timeout override option to the scoring server CLI to support high latency models (#5663, @​sniafas)
• [UI] Add sticky header to experiment run list table to support column name visibility when scrolling beyond page fold (#5818, @​hubertzub-db)
• [Artifacts] Add GCS support for MLflow garbage collection (#5811, @​aditya-iyengar-rtl-de)
• [Evaluate] Add pos_label argument for eval_and_log_metrics API to support accurate binary classifier evaluation metrics (#5807, @​yxiong)
• [UI] Add fields for latest, minimum and maximum metric values on metric display page (#5574, @​adamreeve)
• [Models] Add support for input_example and signature logging for pyspark ml flavor when using autologging (#5719, @​bali0019)
• [Models] Add virtualenv environment manager support for mlflow models docker-build CLI (#5728, @​harupy)
• [Models] Add support for wildcard module matching in log_model_allowlist for PySpark models (#5723, @​serena-ruan)
• [Projects] Add virtualenv environment manager support for MLflow projects (#5631, @​harupy)
• [Models] Add virtualenv environment manager support for MLflow Models (#5380, @​harupy)
• [Models] Add virtualenv environment manager support for mlflow.pyfunc.spark_udf (#5676, @​WeichenXu123)
• [Models] Add support for input_example and signature logging for tensorflow flavor when using autologging (#5510, @​bali0019)
• [Server-infra] Add JSON Schema Type Validation to enable raising 400 errors on malformed requests to REST API endpoints (#5458, @​mrkaye97)
• [Scoring] Introduce abstract endpoint interface for mlflow deployments (#5378, @​trangevi)
• [UI] Add End Time and Duration fields to run comparison page (#3378, @​RealArpanBhattacharya)
• [Serving] Add schema validation support when parsing input csv data for model serving (#5531, @​vvijay-bolt)

Bug fixes and documentation updates:

• [Models] Fix REPL ID propagation from datasource listener to publisher for Spark data sources (#5826, @​dbczumar)
• [UI] Update ag-grid and implement getRowId to improve performance in the runs table visualization (#5725, @​adamreeve)
• [Serving] Fix tf-serving parsing to support columnar-based formatting (#5825, @​arjundc-db)
• [Artifacts] Update log_artifact to support models larger than 2GB in HDFS (#5812, @​hitchhicker)
• [Models] Fix autologging to support lightgbm metric names with "@" symbols within their names (#5785, @​mengchendd)
• [Models] Pyfunc: Fix code directory resolution of subdirectories (#5806, @​dbczumar)
• [Server-Infra] Fix mlflow-R server starting failure on windows (#5767, @​serena-ruan)
• [Docs] Add documentation for virtualenv environment manager support for MLflow projects (#5727, @​harupy)
• [UI] Fix artifacts display sizing to support full width rendering in preview pane (#5606, @​szczeles)
• [Models] Fix local hostname issues when loading spark model by binding driver address to localhost (#5753, @​WeichenXu123)
• [Models] Fix autologging validation and batch_size calculations for tensorflow flavor (#5683, @​MarkYHZhang)
• [Artifacts] Fix SqlAlchemyStore.log_batch implementation to make it log data in batches (#5460, @​erensahin)

Small bug fixes and doc updates (#5858, #5859, #5853, #5854, #5845, #5829, #5842, #5834, #5795, #5777, #5794, #5766, #5778, #5765, #5763, #5768, #5769, #5760, #5727, #5748, #5726, #5721, #5711, #5710, #5708, #5703, #5702, #5696, #5695, #5669, #5670, #5668, #5661, #5638, @​harupy; #5749, @​arpitjasa-db; #5675, @​Davidswinkels; #5803, #5797, @​ahlag; #5743, @​kzhang01; #5650, #5805, #5724, #5720, #5662, @​BenWilson2; #5627, @​cterrelljones; #5646, @​kutal10; #5758, @​davideli-db; #5810, @​rahulporuri; #5816, #5764, @​shrinath-suresh; #5869, #5715, #5737, #5752, #5677, #5636, @​WeichenXu123; #5735, @​subramaniam02; #5746, @​akaigraham; #5734, #5685, @​lucalves; #5761, @​marcelatoffernet; #5707, @​aashish-khub; #5808, @​ketangangal; #5730, #5700, @​shaikmoeed; #5775, @​dbczumar; #5747, @​zhixuanevelynwu)

1.25.1 (2022-04-13)

MLflow 1.25.1 is a patch release containing the following bug fixes:

• [Models] Fix a pyfunc artifact overwrite bug for when multiple artifacts are saved in sub-directories (#5657, @​kyle-jarvis)
• [Scoring] Fix permissions issue for Spark workers accessing model artifacts from a temp directory created by the driver (#5684, @​WeichenXu123)

... (truncated)

Commits

• 8561f8c Update MLflow version to 1.26.0 (#5868)
• b0811ec init (#5869)
• 120be84 [ALL TESTS] Update (#5863)
• 3d57776 python dev/update_pypi_package_index.py (#5864)
• 60124e4 Update MLflow UI (#5858)
• 17137cb Fix bug where clicking mlflow logo returns "No Experiments Exist" (#5859)
• 70ab2fe Fix validate_docker_installation to throw when docker daemon is not running...
• 6b67584 Pin some ML dependencies to prevent pip from filling up diskspace while resol...
• c1722fd Fix tests for SFTP artifact repository (#5845)
• c3216a9 Refactor ExperimentListView using @databricks/design-system's Tree comp...
• Additional commits viewable in compare view

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[dependabot]

Superseded by #73.