Bump mlflow from 1.15.0 to 1.23.1 in /feature_store/build

[dependabot]

Bumps mlflow from 1.15.0 to 1.23.1.

Release notes

Sourced from mlflow's releases.

MLflow 1.23.1 is a patch release containing the following bug fixes:

• [Models] Fix a directory creation failure when loading PySpark ML models (#5299, @​arjundc-db)
• [Model Registry] Revert to using case-insensitive validation logic for stage names in models:/ URIs (#5312, @​lichenran1234)
• [Projects] Fix a race condition during Project tar file creation (#5303, @​dbczumar)

Note: Version 1.23.1 of the MLflow R package has not yet been released. It will be available on CRAN within the next week.

MLflow 1.23.0 includes several major features and improvements:

Note: Version 1.23.0 of the MLflow R package has not yet been released. It will be available on CRAN within the next week.

Features:

• [Models] Introduce an mlflow.evaluate() API for evaluating MLflow Models, providing performance and explainability insights. For an overview, see https://mlflow.org/docs/latest/models.html#model-evaluation (#5069, #5092, #5256, @​WeichenXu123)
• [Models] log_model() APIs now return information about the logged MLflow Model, including artifact location, flavors, and schema (#5230, @​liangz1)
• [Models] Introduce an mlflow.models.Model.load_input_example() Python API for loading MLflow Model input examples (#5212, @​maitre-matt)
• [Models] Add a UUID field to the MLflow Model specification. MLflow Models now have a unique identifier (#5149, #5167, @​WeichenXu123)
• [Models] Support passing SciPy CSC and CSR matrices as MLflow Model input examples (#5016, @​WeichenXu123)
• [Model Registry] Support specifying latest in model URI to get the latest version of a model regardless of the stage (#5027, @​lichenran1234)
• [Tracking] Add support for LightGBM scikit-learn models to mlflow.lightgbm.autolog() (#5130, #5200, #5271 @​jwyyy)
• [Tracking] Improve S3 artifact download speed by caching boto clients (#4695, @​Samreay)
• [UI] Automatically update metric plots for in-progress runs (#5017, @​cedkoffeto, @​harupy)

Bug fixes and documentation updates:

• [Models] Fix a bug in MLflow Model schema enforcement where strings were incorrectly cast to Pandas objects (#5134, @​stevenchen-db)
• [Models] Fix a bug where keyword arguments passed to mlflow.pytorch.load_model() were not applied for scripted models (#5163, @​schmidt-jake)
• [Model Registry][r] Fix bug in R client mlflow_create_model_version() API that caused model source to be set incorrectly (#5185, @​bramrodenburg)
• [Projects] Fix parsing behavior for Project URIs containing quotes (#5117, @​dinaldoap)
• [Scoring] Use the correct 400-level error code for malformed MLflow Model Server requests (#5003, @​abatomunkuev)
• [Tracking] Fix a bug where mlflow.start_run() modified user-supplied tags dictionary (#5191, @​matheusMoreno)
• [UI] Fix a bug causing redundant scroll bars to be displayed on the Experiment Page (#5159, @​sunishsheth2009)

Small bug fixes and doc updates (#5275, #5264, #5244, #5249, #5255, #5248, #5243, #5240, #5239, #5232, #5234, #5235, #5082, #5220, #5219, #5226, #5217, #5194, #5188, #5132, #5182, #5183, #5180, #5177, #5165, #5164, #5162, #5015, #5136, #5065, #5125, #5106, #5127, #5120, @​harupy; #5045, @​BenWilson2; #5156, @​pbezglasny; #5202, @​jwyyy; #3863, @​JoshuaAnickat; #5205, @​abhiramr; #4604, @​OSobky; #4256, @​einsmein; #5140, @​AveshCSingh; #5273, #5186, #5176, @​WeichenXu123; #5260, #5229, #5206, #5174, #5160, @​liangz1)

MLflow 1.22.0

1.22.0 (2021-11-29)

MLflow 1.22.0 includes several major features and improvements:

Features:

• [UI] Add a share button to the Experiment page (#4936, @​marijncv)
• [UI] Improve readability of column sorting dropdown on Experiment page (#5022, @​WeichenXu123; #5018, @​NieuweNils, @​coder-freestyle)
• [Tracking] Mark all autologging integrations as stable by removing @experimental decorators (#5028, @​liangz1)
• [Tracking] Add optional experiment_id parameter to mlflow.set_experiment() (#5012, @​dbczumar)
• [Tracking] Add support for XGBoost scikit-learn models to mlflow.xgboost.autolog() (#5078, @​jwyyy)
• [Tracking] Improve statsmodels autologging performance by removing unnecessary metrics (#4942, @​WeichenXu123)
• [Tracking] Update R client to tag nested runs with parent run ID (#4197, @​yitao-li)

... (truncated)

Changelog

Sourced from mlflow's changelog.

1.23.1 (2022-01-27)

MLflow 1.23.1 is a patch release containing the following bug fixes:

• [Models] Fix a directory creation failure when loading PySpark ML models (#5299, @​arjundc-db)
• [Model Registry] Revert to using case-insensitive validation logic for stage names in models:/ URIs (#5312, @​lichenran1234)
• [Projects] Fix a race condition during Project tar file creation (#5303, @​dbczumar)

1.23.0 (2022-01-17)

MLflow 1.23.0 includes several major features and improvements:

Features:

• [Models] Introduce an mlflow.evaluate() API for evaluating MLflow Models, providing performance and explainability insights. For an overview, see https://mlflow.org/docs/latest/models.html#model-evaluation (#5069, #5092, #5256, @​WeichenXu123)
• [Models] log_model() APIs now return information about the logged MLflow Model, including artifact location, flavors, and schema (#5230, @​liangz1)
• [Models] Introduce an mlflow.models.Model.load_input_example() Python API for loading MLflow Model input examples (#5212, @​maitre-matt)
• [Models] Add a UUID field to the MLflow Model specification. MLflow Models now have a unique identifier (#5149, #5167, @​WeichenXu123)
• [Models] Support passing SciPy CSC and CSR matrices as MLflow Model input examples (#5016, @​WeichenXu123)
• [Model Registry] Support specifying latest in model URI to get the latest version of a model regardless of the stage (#5027, @​lichenran1234)
• [Tracking] Add support for LightGBM scikit-learn models to mlflow.lightgbm.autolog() (#5130, #5200, #5271 @​jwyyy)
• [Tracking] Improve S3 artifact download speed by caching boto clients (#4695, @​Samreay)
• [UI] Automatically update metric plots for in-progress runs (#5017, @​cedkoffeto, @​harupy)

Bug fixes and documentation updates:

• [Models] Fix a bug in MLflow Model schema enforcement where strings were incorrectly cast to Pandas objects (#5134, @​stevenchen-db)
• [Models] Fix a bug where keyword arguments passed to mlflow.pytorch.load_model() were not applied for scripted models (#5163, @​schmidt-jake)
• [Model Registry][R] Fix bug in R client mlflow_create_model_version() API that caused model source to be set incorrectly (#5185, @​bramrodenburg)
• [Projects] Fix parsing behavior for Project URIs containing quotes (#5117, @​dinaldoap)
• [Scoring] Use the correct 400-level error code for malformed MLflow Model Server requests (#5003, @​abatomunkuev)
• [Tracking] Fix a bug where mlflow.start_run() modified user-supplied tags dictionary (#5191, @​matheusMoreno)
• [UI] Fix a bug causing redundant scroll bars to be displayed on the Experiment Page (#5159, @​sunishsheth2009)

Small bug fixes and doc updates (#5275, #5264, #5244, #5249, #5255, #5248, #5243, #5240, #5239, #5232, #5234, #5235, #5082, #5220, #5219, #5226, #5217, #5194, #5188, #5132, #5182, #5183, #5180, #5177, #5165, #5164, #5162, #5015, #5136, #5065, #5125, #5106, #5127, #5120, @​harupy; #5045, @​BenWilson2; #5156, @​pbezglasny; #5202, @​jwyyy; #3863, @​JoshuaAnickat; #5205, @​abhiramr; #4604, @​OSobky; #4256, @​einsmein; #5140, @​AveshCSingh; #5273, #5186, #5176, @​WeichenXu123; #5260, #5229, #5206, #5174, #5160, @​liangz1)

1.22.0 (2021-11-29)

MLflow 1.22.0 includes several major features and improvements:

Features:

• [UI] Add a share button to the Experiment page (#4936, @​marijncv)
• [UI] Improve readability of column sorting dropdown on Experiment page (#5022, @​WeichenXu123; #5018, @​NieuweNils, @​coder-freestyle)
• [Tracking] Mark all autologging integrations as stable by removing @experimental decorators (#5028, @​liangz1)
• [Tracking] Add optional experiment_id parameter to mlflow.set_experiment() (#5012, @​dbczumar)
• [Tracking] Add support for XGBoost scikit-learn models to mlflow.xgboost.autolog() (#5078, @​jwyyy)
• [Tracking] Improve statsmodels autologging performance by removing unnecessary metrics (#4942, @​WeichenXu123)
• [Tracking] Update R client to tag nested runs with parent run ID (#4197, @​yitao-li)
• [Models] Support saving and loading all XGBoost model types (#4954, @​jwyyy)

... (truncated)

Commits

• 1fd9b52 Update MLflow version to 1.23.1 (#5324)
• eab972d python dev/update_ml_package_versions.py (#5323)
• 5387dd3 python dev/update_pypi_package_index.py (#5322)
• fced3a4 Fix loading a spark model on databricks (#5299)
• 61984e6 Use mkstemp to replace deprecated mktemp call (#5303)
• 271750b Fix the bug of stages in models URI being case-sensitive (#5312)
• 86ad040 Update MLflow version to 1.23.0 (#5279)
• f2dc157 python dev/update_pypi_package_index.py (#5280)
• 9ef881f python dev/update_ml_package_versions.py (#5278)
• 043108c Changelog for MLflow 1.23 (#5270)
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